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NCERT Class 12 Computer Science Chapter 1 Review of Python

NCERT Class 12 Computer Science Python Solutions for Chapter 1 :: Review of Python

TOPIC-1

Python Basics

Very Short Answer Type Questions(1 mark)

Question 1.Name the Python Library modules which need to be imported to invoke the following functions:

load ()

pow () [CBSE Delhi 2016]

Answer:

pickle

math

Question 2.Name the modules to which the following func-tions belong:

Uniform ()

fabs () [CBSE SQP 2016]

Answer:

random ()

math ()

Question 3.Differentiate between the round() and floor() functions with the help of suitable example.[CBSE Comptt. 2016]Answer:The function round() is used to convert a fractional number into whole as the nearest next whereas the function floor() is used convert to the nearest lower whole number, e.g.,round (5.8) = 6, round (4.1) = 5 and floor (6.9) = 6, floor (5.01) = 5

Short Answer Type Questions (2 marks):

Question 1.Out of the following, find those identifiers, which cannot be used for naming Variables or functions in a Python program:Total * Tax, While, Class, Switch, 3rd Row, finally, Column 31, Total. [CBSE Outside Delhi-2016]Answer:Total * Tax, class, 3rd Row, finally

Question 2.Name the Python Library modules which need to be imported to invoke the follwing functions :

sqrt()

dump() (CBSE Outside Delhi-2016)

Answer:

math

pickle

Question 3.Out of the following, find the identifiers, which cannot be used for naming Variable or Functions in a Python program: [CBSE Delhi 2016]_Cost, Price*Qty, float, switch, Address one, Delete, Number12, doAnswer:Price *Qty, float, Address one, do

Question 4.Out of the following find those identifiers, which can not be used for naming Variable or Functions in a Python Program:Days * Rent, For, A_price, Grand Total, do, 2Clients, Participantl, My cityAnswer:Illegal variables or functions name are as below: Days * Rent, do, 2Clients, For and Grant Total Because of being either keyword or including space or operator or starting with integar.

Question 5.Name the function / method required for [CBSE SQP 2015]

Finding second occurrence of m in madam.

get the position of an item in the list.

Answer:

find

index

Question 6.Which string method is used to implement the following:

To count the number of characters in the string.

To change the first character of the string in capital letter.

To check whether given character is letter or a number.

To change lowercase to uppercase letter.

Change one character into another character. [CBSE TextBook]

Answer:

len(str)

str.capitalize()

ch.isalnum()

str.upper()

str.replace(old,new)

Question 7.What is the difference between input() and raw_input()?Answer:raw_input() takes the input as a string whereas input() basically looks at what the user enters, and automatically determines the correct type. We use the inputQ function when you are expecting an integer from the end-user, and raw_input when you are expecting a string.

Question 8.What are the two ways of output using print()?Answer:Ordinarily, each print statement produces one line of output. You can end the print statement with a trailing ’ to combine the results of multiple print statements into a single line.

Question 9.Why does the expression 2 + 3*4 result in the value 14 and not the value 24?Answer:Operator precedence rules* make the expression to be interpreted as 2 + (3*4) hence the result is 14.

Question 10.How many times will Python execute the code inside the following while loop? You should answer the question without using the interpreter! Justify your answers.

i = 0 while i < 0 and i > 2 : print “Hello ...” i = i+1

Answer:0 times.

Question 11.How many times will Python execute the code inside the following while loop?

i = 1 while i < 10000 and i > 0 and 1: print “ Hello ...” i = 2 * i

Answer:14.

Question 12.Convert the following for loop into while loop, for i in range (1,100):

if i % 4 == 2 : print i, “mod”, 4 , “= 2”

Answer:

i=1 while i < 100: if i % 4 == 2: print i, “mod”, 4 , “= 2” i = i +1

Question 13.Convert the following for loop into while loop.

for i in range(10): for j in range(i): print '$', print"

Answer:

i=0 while i < 10: j=0 while j < i: print '$’ print"

Question 14.Rewrite the following for loop into while loop: [CBSE Text Book]

for a in range(25,500,25): print a

Answer:

a=25 while a < 500: print a a = a + 25

Question 15.Rewrite the following for loop into while loop: [CBSE Text Book]

for a in range(90, 9, -9): print a

Answer:

a = 90 while a > 9: print a a = a-9

Question 16.Convert the following while loop into for loop:

i = 0 while i < 100: if i % 2 == 0: print i, “is even” else: print i, “is odd” i = i + 1

Answer:

for i in range(100): if i % 2 == 0: print i, “is even” else : print i, “is odd”

Question 17.Convert the following while loop into for loop

char = "" print “Press Tab Enter to stop ...” iteration = 0 while not char == “\t” and not iteration > 99: print “Continue?” char = raw_input() iteration+ = 1

Answer:

char = "" print “Press Tab Enter to stop ...” for iteration in range(99): if not char == ‘\t’: print “Continue?” char = raw_input()

Question 18.Rewrite the following while loop into for loop:

i = 10 while i<250: print i i = i+50

Answer:

for i in range(10, 250, 50): print i

Question 19.Rewrite the following while loop into for loop:

i=88 while(i>=8): print i i- = 8

Answer:

for i in range(88, 9, -8) print i

Question 20.Write for statement to print the series 10,20,30, ……., 300Answer:

for i in range(10, 301, 10): print i

Question 21.Write for statement to print the series 105,98,91,… .7Answer:

for i in range(105, 8, -7): print i

Question 22.Write the while loop to print the series: 5,10,15,…100Answer:

i=5 while i <= 100: print i i = i + 5

Question 23.How many times is the following loop executed? [CBSE Text Book]for a in range(100,10,-10):print aAnswer:9 times.

Question 24.How many times is the following loop executed? [CBSE Text Book]

i = 100 while (i<=200): print i i + =20

Answer:6 times

Question 25.State whether the statement is True or False? No matter the underlying data type if values are equal returns true,

char ch1, ch2; if (ch1==ch2) print “Equal”

Answer:True. Two values of same data types can be equal.

Question 26.What are the logical operators of Python?Answer:or, and, not

Question 27.What is the difference between ‘/’ and ‘//’ ?Answer:

// is Integer or Floor division whereas / is normal division (eg) 7.0 // 2 → 3.0 7.0/2 → 3.5

Question 28.How can we import a module in Python?Answer:1. using import

Syntax: import[,,...] Example: import math, cmath

2. using from

Syntax: fromimport[, ,.. ,] Example: . from fib. import fib, fib2.

Question 29.What is the difference between parameters and arguments?Answer:

S.No.ParametersArguments1Values provided in function headerValues provided in function call.2(eg) def area (r):—> r is the parameter(eg) def main() radius = 5.0 area (radius)—> radius is the argument

Question 30.What are default arguments?Answer:Python allowes function arguments to have default values; if the function is called without the argument, the argument gets its default value

Question 31.What are keyword arguments?Answer:If there is a function with many parameters and we want to specify only some of them in function call,then value for such parameters can be provided by using their names instead of the positions. These are called keyword argument.

(eg) def simpleinterest(p, n=2, r=0.6) ' def simpleinterest(p, r=0.2, n=3)

Question 32.What are the advantages of keyword arguments?Answer:It is easier to use since we need not remember the order of the arguments.We can specify the values for only those parameters which we want, and others have default values.

Question 33.What does “in” do?Answer:“in” is a membership operator. It evaluates to true if it finds a variable/string in the specified sequence :Otherwise i+evaluates to false.

(eg) S = “Hello World" if “Hell” in S: print “True” will print True.

Question 34.What does “not in” do?Answer:“not in” is a membership operator. It evaluates to true if it does not finds a variable/stringin the specified sequence. Otherwise it evaluates to false,

(eg) S = “Hello World” if “Hell” not in S: print “False” will print False.

Question 35.What does “slice” do?Answer:The slice[n:m] operator extracts subparts from a string. It doesn’t include the character at index m.

(eg) S = “Hello World” print s[0:4] → Hell

Question 36.What is the use of negative indices in slicing?Answer:Python counts from the end (right) if negative indices are given.

(eg) S = “Hello” print S[:-3] >> He print S[-3:] >> llo

Question 37.Explain find() function?Answer:find (sub[,start[,end]])This function is used to search the first occurrence of the substring in the given string.It returns the index at which the substring starts. It returns -1 if the substring doesn’t occur in the string.

(eg) str = “computer” - str.findf("om”) → 1

Question 38.What are the differences between arrays and lists?Answer:An array holds fixed number of values. List is of variable-length – elements can be dynamically added or removedAn array holds values of a single type. List in Python can hold values of mixed data type.

Question 39.What is the difference between a tuple and a list?Answer:A tuple is immutable whereas a list is a mutable.A tuple cannot be changed whereas a list can be changed internally.A tuple uses parenthess (()) whereas a list uses square brackets ([]).tuple initialization: a = (2, 4, 5)list initialization: a = [2, 4, 5]

Question 40.Carefully observe the following python code and answer the question that follows:x=5def func2():x=3global xx=x+1print xprint xOn execution the above code produces the following output.63Explain the output with respect to the scope of the variables.Answer:Names declared with global keyword have to be referred at the file level. This is because the global scope.If no global statement is being used the variable with the local scope is accessed.Hence, in the above code the statement succeeding the statement global x informs Python to incrementthe global variable xHence, the output is 6 i.e. 5 + 1 which is also the value for global x.When x is reassingned with the value 3 the local x hides the global x and hence 3 printed.(2 marks for explaning the output) (Only 1 mark for explaining global and local namespace.)

Question 41.Explain the two strategies employed by Python for memory allocation. [CBSE SQP 2016]Answer:Pythonuses two strategies for memory allocation-(i) Reference counting(ii) Automatic garbage collectionReference Counting: works by counting the number of times an object is referenced by other in the system.When an object’s reference count reaches zero, Python collects it automatically.Automatic Garbage Collection: Python schedules garbage collection based upon a threshold of object allocations and object deallocations. When the number of allocations minus the number of deallocations are greater that the threshold number, the garbage collector is run and the unused blocks of memory is reclaimed.

TOPIC – 2Writing Python Programs

Question 1.Rewrite the following code in Python after removing all syntax errors(s). Underline each correction done in the code. [CBSE Delhi-2016]for Name in [Amar, Shveta, Parag]if Name [0] = ‘s’:Print (Name)Answer:

for Name in [“_Amar”, ”_Shveta_” , "_Parag_”] : if Name [0] E == ‘S’ : Print (Name)

Question 2.Rewrite the following code is Python after removing all syntax errors(s).Underline each correction done in the code. [CBSE Outside Delhi-2016]for Name in [Ramesh, Suraj, Priya]if Name [0] = ‘S’:Print (Name)Answer:

for Name in [“_Ramesh_”, “_Suraj_” , “_Priya_”] if Name [0] =_=‘S’ : print (Name)

Question 3.What will be the output of the following python code considering the following set of inputs?AMARTHREEA1231200Also, explain the try and except used in the code.Start = 0while True :Try:Number = int (raw input (“Enter Number”))breakexcept valueError : start=start+2print (“Re-enter an integer”)Print (start)Answer:Output:

Enter Number AMAR Re-enter an integer Enter Number THREE Re-enter an integer Enter Number A123 Re-enter an integer Enter Number 12006

Explanation : The code inside try makes sure that the valid number is entered by the user.When any input other an integer is entered, a value error is thrown and it prompts the user to enter another value.

Question 4.Give the output of following with justification. [CBSE SQP 2015]

x = 3 x+ = x-x print x

Answer:Output: 3Working:

x = 3 x = (x+ x-x ):x = 3 + 3 - 3 = 3

Question 5.What will be printed, when following Python code is executed? [CBSE SQP 2015]

class person: def init (self,id): self.id = id arjun = person(150) arjun. diet [‘age’] = 50 print arjun.age + len(arjun. diet )

Justify your answer.Answer:52arjun.age = 50arjun.dict has 2 attributes so length of it is 2. So total = 52.

Question 6.What would be the output of the following code snippets?print 4+9print “4+9”Answer:13 (addition), 49 (concatenation).

Question 7.Highlight the literals in the following programand also predict the output. Mention the types ofvariables in the program.

a=3 b='1' c=a-2 d=a-c e=“Kathy” f=‘went to party.’ g=‘with Sathy’ print a,g,e,f,a,g,“,”,d,g,“,”,c,g,“and his”,e,f

Answer:a, c,d = integerb, e,f,g = stringOutput: 3 with Sathy Kathy, went to party. 3 with Sathy, 2 with Sathy , 1 with Sathy and his Kathy, went to party.

Question 8.What is the result of 4+4/2+2?Answer:4 + (4/2) + 2 = 8.

Question 9.Write the output from the following code: [CBSE Text Book]

x= 10 y = 20 if (x>y): print x+y else: print x-y

Answer:– 10

Question 10.Write the output of the following code:print “Python is an \n interpreted \t Language”Answer:Python is an interpreted Language

Question 11.Write the output from the following code:

s = 0 for I in range(10,2,-2): s+=I print “sum= ",s

Answer:sum= 28

Question 12.Write the output from the following code: [CBSE TextBook]

n = 50 i = 5 s = 0 while i<n: s+ = i i+ = 10 print “i=”,i print “sum=”,s

Answer:

i= 15 i= 25 i= 35 i= 45 i= 55 sum= 125

Question 13.Write the output from the following code: [CBSE TextBook]

n = 50 i = 5 s = 0 while i<n: s+ = i i+ = 10 print “i=”,i print “sum=”,s

Answer:

i= 15 i= 25 i= 35 i= 45 i= 55 sum= 125

Question 14.Observe the following program and answer the question that follows:import randomx = 3N = random, randint (1, x)for 1 in range (N):print 1, ‘#’, 1 + 1a. What is the minimum and maximum number of times the loop will execute?b. Find out, which line of output(s) out of (i) to (iv) will not be expected from the program?i. 0#1ii. 1#2iii. 2#3iv. 3#4Answer:a. Minimum Number = 1Maximum number = 3b. Line iv is not expected to be a part of the output.

Question 15.Observe the following Python code carefully and obtain the output, which will appear on the screen after execution of it. [CBSE SQP 2016]

def Findoutput (): L = "earn" X = " " count = 1 for i in L: if i in ['a', 'e',' i', 'o', 'u']: x = x + 1. Swapcase () else: if (count % 2 ! = 0): x = x + str (len (L[:count])) else: x = x + 1 count = count + 1 print x Findoutput ()

Answer:EA3n

Question 16.Find and write the output of the following Python code:

Number = [9,18,27,36] for N in Numbers: print (N, "#", end = " ") print ()

Answer:

ElementStack of operatorsPostfix Expression1#001#(1#)(1#)2#(1#)(1#2#)1#(2#)(1#2#3#)2#(1#)1#3#(2#)1#2#(3#)1#2#3#

Question 17.What are the possible outcome(s) executed from the following code? Also,specify the maximum and import random. [CBSE Delhi 2016]

PICK=random.randint (0,3) CITY= ["DELHI", "MUMBAI", "CHENNAI", "KOLKATA"]; for I in CITY : for J in range (1, PICK) print (I, end = " ") Print ()

(i)(ii)DELHIDELHIDELHIMUMBAIMUMBAIDELHIMUMBAICHENNAICHENNAIDELHIMUMBAICEHNNAIKOLKATAKOLKATA(iii)(iv)DELHIDELHIMUMBAIMUMBAIMUMBAICHENNAIKOLKATAKOLKATAKOLKATAKOLKATA

Answer:Option (i) and (iii) are possible option (i) onlyPICKER maxval = 3 minval = 0

Question 18.Find and write the output of the following Python code : [CBSE Outside Delhi-2016]

Values = [10,20,30,40] for val in Values: for I in range (1, Val%9): print (I," * ", end= " ") print ()

Answer:

ElementStack of operatorsPostfix Expression1*001*(1.*)(1*)2*0(1*2*)1*(1,*)(1*2*3*)2*(2.*)1*3*01*2*(1.*)1*2*3*(2,* )(3,* )

Question 19.Write the output from the following code:

y = 2000 if (y%4==0): print “Leap Year” else: print “Not leap year”

Answer:Leap Year.

Question 20.What does the following print?

for i in range (1,10): for j in'range (1,10): print i * j, print

Answer:1 2 3 4 5 6 7 8 92 4 6 8 10 12 14 16 183 6 9 12 15 18 21 24 274 8 12 16 20 24 28 32 365 10 15 20 25 30 35 40 456 12 18 24 30 36 42 48 547 14 21 28 35 42 49 56 638 16 24 32 40 48 56 64 729 18 27 36 45 54 63 72 81

Question 21.What will be the output of the following statement? Also, justify the answer.

>> print ‘Radhsa’s dress is pretty’.

Answer:SyntaxError: invalid syntax.The single quote needs to be replaced by V to get the expected output.

Question 22.Give the output of the following statements :

>>> str=‘Honesty is the best policy’ >>> str.replace(‘o’,‘*’)

Answer:‘H*nesty is the best p*licy’.

Question 23.Give the output of the following statements :

>> str=‘Hello Python’ >>> str.istitle()

Answer:True.

Question 24.Give the output of the following statements:

>> str=‘Hello Python’ >>> print str.lstrip(“Hel”)

Answer:Hello Python

Question 25.Write the output for the following codes:

A={10:1000,20:2000,30:3000,40:4000,50:5000} print A.items() print A.keys() print A.values()

Answer:[(40,4000), (10,1000), (20,2000), (50,5000), (30,3000)] [40,10, 20, 50, 30] [4000,1000, 2000, 5000, 3000]

Question 26.Write the output from the following code:

t=(10,20,30,40,50) print len(t)

Answer:5

Question 27.Write the output from the following code:

t=(‘a’,‘b’,‘c’,‘A’,‘B’) print max(t) print min(t)

Answer:‘c’A’

Question 28.Find the output from the following code:

T=(10,30,2,50,5,6,100,65) print max(T) print min(T)

Answer:1002

Question 29.Write the output from the following code:

T1=(10,20,30,40,50) T2 =(10,20,30,40,50) T3 =(100,200,300) cmp(T1, T2) cmp(T2,T3) cmp(T3,T1)

Answer:0-11

Question 30.Write the output from the following code:

T1=(10,20,30,40,50) T2=(100,200,300) T3=T1+T2 print T3

Answer:(10,20,30,40,50,100,200,300)

Question 31.Find the output from the following code:

t=tuple() t = t +(‘Python’,) print t print len(t) t1=(10,20,30) print len(t1)

Answer:(‘Python’,)13

Question 32.Rewrite the following code in Python after remo¬ving all syntax error(s).Underline each correction done in the code.

for student in [Jaya, Priya, Gagan] If Student [0] = ‘S’: print (student)

Answer:for studednt in values [“Jaya”, “Priya”, “Gagan”]:if student [0] = = “S”print (student)

Question 33.Find and write the output of the following Python code:

Values = [11, 22, 33, 44] for V in Values: for NV in range (1, V%10): print (NV, V)

Answer:1, 112,223,334, 44

Question 34.What are the possible outcome(s) executed from the following code? Also, specify the maximum and minimum values that can be assigned to variable SEL.

import random SEL=random. randint (0, 3) ANIMAL = [“DEER”, “Monkey”, “COW”, “Kangaroo”]; for A in ANIMAL: for AAin range (1, SEL): print (A, end =“”) print ()

(i)(ii)(iii)(iv)DEERDEERDEERDEERDEERMONKEYMONKEYDELHIMONKEYMONKEYMONKEYMONKEYCOWCOWDELHIMONKEYCOWCOWKANGAROOKANGAROOKANGAROOKANGAROOKANGAROOKANGAROO

Answer:Maximum value of SEL is 3.The possible output is belowDEERMonkey MonkeyKangaroo Kangaroo KangarooThus (iv) is the correct option.

TOPIC-3Random Functions

Question 1.What are the possible outcome(s) executed from the following code ? Also specify the maximum and minimum values that can be assigned to variable PICKER. [CBSE Outside Delhi-2016]

import random PICKER = random randint (0, 3) COLOR = ["BLUE", "PINK", "GREEN", "RED"]: for I in COLOR : for J in range (1, PICKER): Print (I, end = " ") Print ()

(i)(ii)(iii) (iv)BLUEBLUEPINKSLUEBLUEPINKBLUEPINKPINKGREENPINKPINKGREENBLUEPINKGREENGREENREDGREENGREENREDBLUEPINKGREENREDREDRED

Answer:Option (i) and (iv) are possibleORoption (i) onlyPICKER maxval = 3 minval = 0

Question 2.What are the possible outcome(s) expected from the following python code? Also specifymaximum and minimum value, which we can have. [CBSE SQP 2015]

def main(): p = ‘MY PROGRAM’ i = 0 while p[i] != ‘R’: l = random.randint(0,3) + 5 print p[l],’-’, i += 1

(i) R – P – O – R –(ii) P – O – R – Y –(iii) O -R – A – G –(iv) A- G – R – M –Answer:Minimum value=5Maximum value=8So the only possible values are O, G, R, AOnly option (iii) is possible.

TOPIC-4Correcting The Errors

Question 1.Rewrite the following Python code after removing all syntax error(s). Underline the corrections done.[CBSE SQP 2015]

def main(): r = raw-input(‘enter any radius : ’) a = pi * math.pow(r,2) print “ Area = ” + a

Answer:

def main (): r = raw_input(‘enter any radius : ’) a = pi * math.pow(r,2) print “ Area = ”, a

Question 2.Rectify the error (if any) in the given statements.

>> str=“Hello Python” >>> str[6]=‘S’

Answer:

str[6] = ‘S’ is incorrect ‘str’ object does not support item assignment. str.replace(str[6],‘S’).

Question 3.Find the errors from the following code:T=[a,b,c]print TAnswer:NameError: name ‘a’ is not defined .T=[‘a’,‘b’,‘c’]

Question 4.Find the errors from the following code:for i in 1 to 100:print IAnswer:for i in range (1,100):print i

Question 5.Find the errors from the following code:

i=10 ; while [i<=n]: print i i+=10

Answer:

i=10 n=100 while (i<=n): print i i+=10

Question 6.Find the errors from the following code:

if (a>b) print a: else if (a<b) print b: else print “both are equal”

Answer:

if (a>b) // missing colon print a: else if (a<b) // missing colon // should be elif print b: else // missing colon print “both are equal"

Question 7.Find errors from the following codes:

c=dict() n=input(Enter total number) i=1 while i<=n: a=raw_input(“enter place”) b=raw_input(“enter number”) c[a]=b i=i+1 print “place”,“\t”,“number” for i in c: print i,“\t”,c[a[i]]

Answer:

c=dict() n=input(‘‘Enter total number”) i=1 while i<=n : a=raw_input(“enter place”) b=raw_inputf enter number”) c[a]=b i=i+1 print “place”,“\t”,“number” for i in c: print i,“\t”,c[i]

Question 8.Observe the following class definition and answer the question that follows : [CBSE SQP 2016]

class info: ips=0 def _str_(self): #Function 1 return "Welcome to the Info Systems" def _init_(Self): self. _ Sstemdate= " " self. SystemTime = " " def getinput (self): self . Systemdate = raw_input ("enter data") self , SystemTime = raw_Input ("enter data") Info, incrips () Estaiomethod # Statement 1 def incrips (): Info, ips, "times" I = Info () I. getinput () Print I. SystemTime Print I. _Systemdate # Statement 2

i. Write statement to invoke Function 1.ii. On Executing the above code, Statement 2 is giving an error explain.Answer:i. print Iii. The statement 2 is giving an error because _ Systemdate is a private variable and hence cannot to be printed outside the class.

TOPIC – 5Short Programs

Question 1.Write a program to calculate the area of a rectangle. The program should get the length and breadth ;values from the user and print the area.Answer:

length = input(“Enter length”) breadth = input(“Enter breadth”) print “Area of rectangle =”,length*breadth

Question 2.Write a program to calculate the roots of a quadratic equation.Answer:

import math a = input(“Enter co-efficient of x^2”) b = input(“Enter co-efficient of x”) c = inputfEnter constant term”) d = b*b - 4*a*c if d == 0: print “Roots are real and equal” root1 = root2 = -b / (2*a) elif d > 0: print “Roots are real and distinct” root1 = (- b + math.sqrt(d)) / (2*a) root2 = (-b - math.sqrt(d)) / (2*a) else: print “Roots are imaginary” print “Roots of the quadratic equation are”,root1,“and”,root2

Question 3.Write a program to input any number and to print all the factors of that number.Answer:

n = inputfEnter the number") for i in range(2,n): if n%i == 0: print i,“is a factor of’.n

Question 4.Write a program to input ,.any number and to check whether given number is Armstrong or not.(Armstrong 1,153,etc. 13 =1, 13+53 +33 =153)Answer:

n = inputfEnter the number”) savedn = n sum=0 while n > 0: a = n%10 sum = sum + a*a*a n = n/10 if savedn == sum: print savedn,“is an Armstrong Number” else: print savedn,”is not an Armstrong Number”

Question 5.Write a program to find all the prime numbers up to a given numberAnswer:

n = input("Enter the number”) i = 2 flag = 0 while (i < n): if (n%i)==0: flag = 1 print n,“is composite” break i = i+ 1 if flag ==0 : print n,“is prime”

Question 6.Write a program to convert decimal number to binary.Answer:

i=1 s=0 dec = int ( raw_input(“Enter the decimal to be converted:”)) while dec>0: rem=dec%2 s=s + (i*rem) dec=dec/2 i=i*10 print “The binary of the given number is:”,s raw_input()

Question 7.Write a program to convert binary to decimalAnswer:

binary = raw_input(“Enter the binary string”) decimal=0 for i in range(len(str(binary))): power=len (str (binary)) - (i+1) decimal+=int(str(binary)[i])*(2**power) print decimal

Question 8.Write a program to input two complex numbers and to find sum of the given complex numbers.Answer:

areal = input("Enter real part of first complex number”) aimg = input("Enter imaginary part of first complex number”) breal = input("Enter real part of second complex number”) bimg = input("Enter imaginary part of second complex number”) totreal = areal + breal totimg = aimg + bimg print “Sum of the complex numbers=",totreal, “+i”, totimg

Question 9.Write a program to input two complex numbers and to implement multiplication of the given complex numbers.Answer:

a = input("Enter real part of first complex number”) b = input("Enter imaginary part of first complex number”) c = input("Enter real part of second complex number”) d = input("Enter imaginary part of second complex number”) real= a*c - b*d img= a*d + b*c print “Product of the complex numbers=",real, “+i”,img

Question 10.Write a program to find the sum of all digits of the given number.Answer:

n = inputfEnter the number”) rev=0 while (n>0): a=n%10 sum = sum + a n=n/10 print “Sum of digits=”,sum

Question 11.Write a program to find the reverse of a number.Answer:

n = input("Enter the number”) rev=0 while (n>0): a=n%10 rev=(rev*10)+a n=n/10 print “Reversed number=”,rev

Question 12.Write a program to print the pyramid.12 23 3 34 4 4 45 5 5 5 5Answer:

for i in range(1,6): for j in range(1,i+1): print i, print

Question 13.Write a program to input username and password and to check whether the given username and password are correct or not.Answer:

import string usemame= raw_input(“Enter username”) password = raw_input(“Enter password”) if cmp(username.strip(),“XXX”)== 0: if cmp(password,”123”) == 0: print “Login successful” else: print “Password Incorrect” else: print “Username Incorrect”

Question 14.Write a generator function generatesq () that displays the squareroots of numbers from 100 to nwhere n is passed as an argument.Answer:

import math def generatesq (n) : for i in range (100, n) : yield (math, sqrt (i))

Question 15.Write a method in Python to find and display the prime number between 2 to n.Pass n as argument to the method.Answer:

def prime (N) : for a in range (2, N): for I in range (2, a): if N%i ==0 : break print a OR def prime (N): for a in range (2, N): for I in range (2, a) : if a%1= = 0 : break else : print a

Question 16.Write a program to input username and password and to check whether the given username and password are correct or not.Answer:

import string usemame= raw_input(“Enter username”) password = raw_input(“Enter password”) if cmp(usemame.strip(),“XXX”)== 0: if cmp(password,”123”) == 0: print “Login successful” else: print “Password Incorrect” else: print “Username Incorrect”

Question 17.Which string method is used to implement the following: [CBSE Text Book]

To count the number of characters in the string.

To change the first character of the string in capital letter.

To check whether given character is letter or a number.

To change lowercase to uppercase letter.

Change one character into another character.

Answer:

len(str)

str.title() or str.capitalize()

str.isalpha and str.isdigit()

lower(str[i])

str.replace(char, newchar)

Question 18.Write a program to input any string and to find the number of words in the string.Answer:

str = “Honesty is the best policy” words = str.split() print len(words)

Question 19.Write a program to input n numbers and to insert any number in a particular position.Answer:

n=input(“Enter no. of values") num=[] for i in range (n): number=input(“Enter the number") num.append(number) newno = input(“Enter the number to be inserted”) pos = input(“Enter position”) num.insert(newno,pos) print num

Question 20.Write a program to input n numbers and to search any number from the list.Answer:

n=input(“Enter no. of values”) num=[] flag=0 for i in range (n): number=input(“Enter the number”) num. append(number) search = input(“Enter number to be searched") for i in range(n): if num[i]==search: print search,“found at position”,i flag=1 if flag==0: print search, “not found in list”

Question 21.Write a program to search input any customer name and display customer phone numberif the customer name is exist in the list.Answer:

def printlist(s): i=0 for i in range(len(s)): print i,s[i] i = 0 phonenumbers = [‘9840012345’,‘9840011111’,’ 9845622222’,‘9850012345’,‘9884412345’] flag=0 number = raw_input(“Enter the phone number to be searched") number = number.strip() try: i = phonenumbers.index(number) if i >= 0: flag=1 except ValueError: pass if(flag <>0): print “\nphone number found in Phonebook at index”, i else: print'\iphonenumbernotfoundin phonebook” print “\nPHONEBOOK” printlist(phonenumbers)

Question 22.Write a program to input n numbers and to reverse the set of numbers without using functions.Answer:

n=input(“Enter no. of values”) num=[] flag=0 for i in range (n): number=input(“Enter the number”) num. append(number) j=n-1 for i in range(n): if i<=n/2: num[i],num[j] = num[j],num[i] j=j-1 else: break print num

Question 23.Find and write the output of the following Python code: [CBSE Complementry-2016]

class Client: def init (self, ID = 1, NM=”Noname”) # constructor self.CID = ID self. Name = NM def Allocate (self, changelD, Title) : self.CID = self.CID + Changeld self.Name = Title + self. Name def Display (self) : print (self. CID). "#”, self. Name) C1 = Client () C2 = Client (102) C3 = Client (205, ‘’Fedrick”) C1 . Display () C2 . Display () C3 . Display () C2 . Allocate (4, "Ms.”) C3 .Allocate (2, "Mr.”) C1. Allocate (1, "Mrs.”) C1. Display () C2 . Display () C3 . Display ()

Answer:

CID Name — Fedrick 102 Mr. Fedrick 205 Mrs. Fedrick — Mr. & Mrs. Fedrick

Question 24.What will be the output of the following Python code considering the following set of inputs?

MAYA Your 5 Apples Mine2 412 Also, explain the try and except used in the code. Count = 0 while True : try: Number=int (raw input ("Input a Number :")) break Except valueError : Count=Count + 2 # For later versions of python, raw_input # Should be consider as input

mehtods:– DenCal () # Method to calcualte Density as People/Area– Add () # Method to allow user to enter values Dcode, DName, People, Area and Call DenCal () Mehtod– View () # Method to display all the data members also display a message “”High Population”if the Density is more than 8000.Answer:Output is below2 Re Enter Number10 Re Enter Number5 Input = Number3 Input = numberTry and except are used for handling exception in the Pythan code.

Question 25.Write a method in Python and display the prime numbers between 2 to N. Pass as argument to the methods.Answer:

def prime (N) : for a in range (2, N) Prime=1 for I in range (2, a): if a%i= = 0 : Prime = 0 if Prime = = 1: print a OR def prime (N) : for a in range (2, N): for I in range (2, a) : if a%i = = 0: break else : print a OR Any other correct code performing the same

Long Answer Type Questions (6 marks)

Question 1.Aastha wnats to create a program that accepts a string and display the characters in the reversein the same line using a Stack. She has created the following code, help her by completing thedefinitions on the basis of requirements given below:[CBSE SQP 2016]

Class mystack : def inin (self): selfe. mystr= # Accept a string self.mylist= # Convert mystr to a list # Write code to display while removing element from the stack. def display (self) : : :

Answer:

class mystack : def _init_ (self) : self.myster= rawjnput ("Enter the string”) self.mylist = list (self.mystr) def display (self) : x = len (self. mylist) if (x > 0) : for i in range (x) : print self.mylist.pop (), else : print "Stack is empty”

via Blogger https://ift.tt/3kkMk05

#Blogger

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greysoncapitalgroup · 6 years ago

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It’s official, the book I’m coauthoring is being released this morning! And I’m asking for a huge favor and your support to help us hit #1 Bestseller Status on Amazon!

As part of the release, we put together a special offer plus over $200 in bonuses. Plus, 100% of the book profits from the Amazon paperback and Kindle sales will go to an awesome charity, Chair The Hope (details below).

Resilience, Turning Your Setback Into a Comeback is such a powerful book, and I’m so proud to be a part of it. It is an honor to be counted among this all-star group that includes entrepreneurs, professionals, real estate syndicators, speakers, authors, NFL players and mentors, a 2x US memory champion, PGA tour mentor, and many more.

These stories include how Nathan Ogden turned a tragic accident that left him a quadriplegic into now a calling to encourage others to find their life’s passion and purpose; how Mike Coleman the founder of Integrity Music relied on his faith to overcome a life-threatening five-year health battle; how Producer and TV Host Lisa Haisha courageously found freedom, hope, and significance by taking risks and serving others; how 2x US Memory Champion Ron White used resilience in overcoming a very difficult time in his life, including being homeless,

that now allows him to impact and honor thousands of veterans; and so many other powerful stories about persistence, courage, and resilience in the face of challenges. These stories will inspire you and give you hope, ideas and strategies that will impact both your personal and business journey.

I’m asking for your help and support today. When you get your Kindle or paperback copy (or copies) today, you will be supporting all the amazing contributors by helping us achieve #1 status! And, most importantly, you will be continuing your commitment to becoming more resilient in all aspects of your life.

The preferred time to grab your copy is this morning, Tuesday, December 4th between 10am and 12pm CST (8am-10am PST)! If you missed that time frame, it’s okay. Still grab your copy(s) today.

You can order the Kindle version at a special price of only 3.97 and the paperback for 11.97.

Click Here to order today http://ResilienceBookLaunch.com

Plus you will also receive over $200 of amazing gifts (see below).

And 100% of the book profits from Amazon this week will go to the charity ChairTheHope.com, a non-profit founded and run by one of our coauthors that provides and delivers wheelchairs to people in need locally and around the world!

*And remember, after you buy, please send an email to [email protected] with your Amazon order number, book quantity, and your comments so we can send you over $200 worth of gifts as a special thank you! All of the coauthors and I will be updated on who buys, their comments, and also their review of the book. Thank you in advance!

Bonus gifts include:

– Lisa Haisha’s 365 Day Writing & Coaching Journal PDF

– Tom Ziglar, The Ziglar Family 7 Day Challenge that will empower your family to thrive by equipping you to experience a week of wins.

– Roy Smoothe, The Jim Rohn Smoothe Mixx Collection including lessons from Jim Rohn set to music

– Ron White, 2x US Memory Champion’s How to Memorize Everything ebook

– Howard Partridge’s training package reveals How to Create a Phenomenal Culture in Any Organization

– Chris Widener’s 52 Lessons for Extraordinary Leadership

– Kyle Wilson’s Interview Package featuring interviews with Darren Hardy, Brian Tracy, and Phil Collen of Def Leppard, Plus 6 eBooks

On behalf of me, our designated charity—Chair The Hope—and all the Resilience coauthors, Kyle Wilson, Lisa Haisha, Keith Elias, Steve Fitzhugh, Nick Bradley, Ron White, Dr. Thomas Black, Chris Widener, Carla Lee Martinez, Nathan Ogden, A.M. Williams, Adam Buttorf, Alpesh Parmar, Anna Kelley, Carl Wehmeyer, Chad Kneller, Chelsea Newman, Diana Hightower, Doug Kelley, EJ Sansone, Glen Mather, Greg Zlevor, Daniel Zlevor, Howard Pierpont, Jared Christian, Josh & Emily Houser, Julian Sado, Justin Brooks, Justin Richards, Matthew Hayden, Meredith Besse Maggio, Michael Blank, Mike Coleman, Nicholas J. Scalzo, Paul M. White, Sean C. Na, Tammy Thrasher Mitchell, and Tim Hubbard,

WE THANK YOU!

Everyone involved has put a lot of work and energy into making sure this book and the lessons inside it will make a positive difference and a ripple in the world. We are honored that you are taking the time to read and help start that ripple.

Thank you for your support!

PS – Click here to get your Kindle or Paperback copy http://ResilienceBookLaunch.com today and help us hit bestseller status. We hope to see your name on the book buyer and review list! Make sure to email [email protected] with your order number and qty so they can send you your gifts and let the authors know you purchased. This book makes great personal development reading for the whole book club!

PSS – Please leave a review after you buy your copy (and click Yes on other 5-star reviews to let others know they are helpful)! NOTE: To leave a review, you must buy a copy and be signed in on Amazon, otherwise your review will be removed from Amazon and will not count.

Kind Regards,

Justin Richards

Principal

#News

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dorcasrempel · 6 years ago

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Scientists alter membrane proteins to make them easier to study

About 30 percent of the proteins encoded by the human genome are membrane proteins — proteins that span the cell membrane so they can facilitate communication between cells and their environment. These molecules are critical for learning, seeing, and sensing odors, among many other functions.

Despite the prevalence of these proteins, scientists have had difficulty studying their structures and functions because the membrane-bound portions are very hydrophobic, so they cannot be dissolved in water. This makes it much harder to do structural analyses, such as X-ray crystallography.

In an advance that could make it easier to perform this type of structural study, MIT researchers have developed a way to make these proteins water-soluble by swapping some of their hydrophobic amino acids for hydrophilic ones. The technique is based on a code that is much simpler than previously developed methods for making these proteins soluble, which rely on computer algorithms that have to be adapted to each protein on a case-by-case basis.

“If there is no rule to follow, it’s difficult for people to understand how to do it,” says Shuguang Zhang, a principal research scientist in the MIT Media Lab’s Center for Bits and Atoms. “The tool has to be simple, something that anyone can use, not a sophisticated computer simulation that only a few people know how to use.”

Zhang is the senior author of the study, which appears in the Proceedings of the National Academy of Sciences the week of Aug. 27. Other MIT authors are former visiting professor Fei Tao, postdoc Rui Qing, former visiting professor Hongzhi Tang, graduate student Michael Skuhersky, former undergraduate Karolina Corin ’03, SM ’05, PhD ’11, former postdoc Lotta Tegler, graduate student Asmamaw Wassie, and former undergraduate Brook Wassie ’14.

A simple code

Of the approximately 8,000 known membrane proteins found in human cells, scientists have discovered structures for about 50. They are widely viewed as very difficult to work with because once they are extracted from the cell membrane, they only maintain their structure if they are suspended in a detergent, which mimics the hydrophobic environment of the cell membrane. These detergents are expensive, and there is no universal detergent that works for all membrane proteins.

Zhang started working on a new way to tackle this problem in 2010, inspired by the late Alexander Rich, an MIT professor of biology. Rich posed the question of whether protein structures called alpha helices, which make up the bulk of the membrane-embedded portion of proteins, could be switched from hydrophobic to hydrophilic. Zhang immediately began working out possible solutions, but the problem proved difficult. Over the past eight years, he has had several students and visiting researchers help work on his idea, most recently Qing, who achieved success.

The key idea that allowed Zhang to develop the code is the fact that a handful of hydrophobic amino acids have very similar structures to some hydrophilic amino acids. This similarities allowed Zhang to come up with a code in which leucine is converted to glutamine, isoleucine and valine are converted to threonine, and phenylalanine is converted to tyrosine.

Another important factor is that none of these amino acids are charged, so swapping them appears to have a minimal effect on the overall protein structure. In fact, isoleucine and threonine are so similar that ribosomes, the cell structures that assemble proteins, occasionally insert the wrong one — about once in every 200 to 400 occurrences.

The researchers call their code the QTY code, after the three letters that represent glutamine, threonine, and tyrosine, respectively.

In their earliest efforts to implement this code, the researchers substituted only a small fraction of the hydrophobic amino acids embedded in the membrane, but the resulting proteins still needed some detergent to dissolve. They increased the replacement rate to about 50 percent, but the proteins were still not fully water-soluble, so they replaced all instances of glutamine, isoleucine, valine, and phenylalanine embedded in the membranes. This time, they achieved success.

“It’s only when we replace all the hydrophobic residues in the transmembrane regions that we’re able to get proteins that are stable and completely free of detergent in an aqueous system,” Qing says.

Structural similarities

In this study, the researchers demonstrated their technique on four proteins that belong to a class of proteins known as G protein-coupled receptors. These proteins help cells to recognize molecules, such as hormones, or immune molecules, called chemokines, and trigger an appropriate response within the cell.

Joel Sussman, a professor of structural biology at the Weizmann Institute of Science, described the new method as “incredibly simple and elegant.”

“Although a number of scientists have been trying to find a way to ‘solubilize’ G protein-coupled receptors and other integral membrane proteins, until now their methods have not been of general use and often involved very complex computational methods that would not be widely applicable,” says Sussman, who was not involved in the research.

The researchers are still working towards obtaining the precise structures of these proteins using X-ray crystallography or nuclear magnetic resonance (NMR), but they performed some experiments that suggest the structures are similar. In one, they showed that the water-soluble proteins denature at nearly the same temperature as the original versions of the proteins. They also showed that the modified proteins bind to the same target molecules that the original proteins bind to, although not as strongly.

Being able to synthesize water-soluble versions of these proteins could enable new applications, such as sensors that can detect environmental pollutants, the researchers say.

Another possibility is designing water-soluble versions of the proteins that bind to molecules normally expressed by cancer cells, which could be used to diagnose tumors or identify metastatic cancer cells in blood samples, Zhang says. Researchers could also create water-soluble molecules in which a membrane-bound receptor that viruses normally bind to is attached to part of an antibody. If these “decoy therapies” were injected into the body, viruses would bind to the receptors and then be cleared by the immune system, which would be activated by the antibody portion.

The research was funded by OH2 Laboratories and the MIT Center for Bits and Atoms Consortium, which includes the Bay Valley Innovation Center.

Scientists alter membrane proteins to make them easier to study syndicated from https://osmowaterfilters.blogspot.com/

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dailycryptocurrencynews-blog · 6 years ago

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FB FACEBOOK INC NASDAQ:FB DigitalMoneyTraders My Tracking Emotions cooling off and course being made up our minds. Look for a couple of extra days of consolidation, sooner than jump. Less than stellar entires 1. Premarket at $172.50 2. added qty on a hit retest of $175 at $176.20 Target Price $200 A jump from…

FB was originally published on Daily Cryptocurrency News

#FB

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vertcoinreddit · 7 years ago

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I think it'd be pretty slick to have some Vertcoin challenge coins made. Challenge coins, for the uninitiated, are custom metal coins with colored enamel infills.I don't have a design yet but I'm leaning towards something like this.1.5" diameter, color on one side (but both sides would be engraved/pressed)With an order of 50 they'd be about $5.25USD each + shipping/distribution/transaction feesBy qty 200 we're looking at $3USD each + shipping etc.I'd be more than happy to spearhead this (organize the design, work with vendor, collect funds, distribute coins, etc) but I'd need some opinions and advice:Is there a payment system you all would feel comfortable using for this? Indiegogo? Kickstarter? Something limits risk so everybody feels like they're being protected?Is there a way to accept Vertcoin as payment for these bad boys? That'd be the preferred method.Anybody want to contribute art or ideas?Cheers! via /r/vertcoin

#vertcoin #cryptocurrency

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postharveyresources · 7 years ago

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Hey OP... I used to be the guy who worked for insurance companies, and determined the value of every little thing in your house. The guy who would go head-to-head with those fire-truck-chasing professional loss adjusters. I may be able to help you not get screwed when filing your claim.

Our goal was to use the information you provided, and give the lowest damn value we can possibly justify for your item.

For instance, if all you say was "toaster" -- we would come up with a cheap-as-fuck $4.88 toaster from Walmart, meant to toast one side of one piece of bread at a time. And we would do that for every thing you have ever owned. We had private master lists of the most commonly used descriptions, and what the cheapest viable replacements were. We also had wholesale pricing on almost everything out there, so really scored cheap prices to quote. To further that example:

If you said "toaster - $25" , we would have to be within -20% of that... so, we would find something that's pretty much dead-on $20.01.

If you said "toaster- $200" , we'd kick it back and say NEED MORE INFO, because that's a ridiculous price for a toaster (with no other information given.)

If you said "toaster, from Walmart" , you're getting that $4.88 one.

If you said "toaster, from Macys" , you'd be more likely to get a $25-35 one.

If you said "toaster", and all your other kitchen appliances were Jenn Air / Kitchenaid / etc., you would probably get a matching one.

If you said "Proctor Silex 42888 2-Slice Toaster from Wamart, $9", you just got yourself $9.

If you said "High-end Toaster, Stainless Steel, Blue glowing power button" ... you might get $35-50 instead. We had to match all features that were listed.

I'm not telling you to lie on your claim. Not at all. That would be illegal, and could cause much bigger issues (i.e., invalidating the entire claim). But on the flip side, it's not always advantageous to tell the whole truth every time. Pay attention to those last two examples.

I remember one specific customer... he had some old, piece of shit projector (from mid-late 90s) that could stream a equally piece of shit consumer camcorder. Worth like $5 at a scrap yard. It had some oddball fucking resolution it could record at, though -- and the guy strongly insisted that we replace with "Like Kind And Quality" (trigger words). Ended up being a $65k replacement, because the only camera on the market happened to be a high-end professional video camera (as in, for shooting actual movies). $65-goddam-thousand-dollars because he knew that loophole, and researched his shit.

Remember to list fucking every -- even the most mundane fucking bullshit you can think of. For example, if I was writing up the shower in my bathroom:

Designer Shower Curtain - $35

Matching Shower Curtain Liner for Designer Shower Curtain - $15

Shower Curtain Rings x20 - $15

Stainless Steel Soap Dispenser for Shower - $35

Natural Sponge Loofah - from Whole Foods - $15

Natural Sponge Loofah for Back - from Whole Foods - $19

Holder for Loofahs - $20

Bars of soap - from Lush - $12 each (qty: 4)

Bath bomb - from Lush - $12

High end shampoo - from salon - $40

High end conditioner - from salon - $40

Refining pore mask - from salon - $55

I could probably keep thinking, and bring it up to about $400 for the contents of my shower. Nothing there is "unreasonable" , nothing there is clearly out of place, nothing seems obviously fake. The prices are a little on the high-end, but the reality is, some people have expensive shit -- it won't actually get questioned. No claims adjuster is going to bother nitpicking over the cost of fucking Lush bath bombs, when there is a 20,000 item file to go through. The adjuster has other shit to do, too.

Most people writing claims for a total loss wouldn't even bother with the shower (it's just some used soap and sponges..) -- and those people would be losing out on $400.

Some things require documentation & ages. If you say "tv - $2,000" -- you're getting a 32" LCD, unless you can provide it was from the last year or two w/ receipts. Hopefully you have a good paper trail from credit/debit card expenditure / product registrations / etc.

If you're missing paper trails for things that were legitimately expensive -- go through every photo you can find that was taken in your house. Any parties you may have thrown, and guests put pics up on Facebook. Maybe an Imgur photo of your cat, hiding under a coffee table you think you purchased from Restoration Hardware. Like... seriously... come up with any evidence you possibly can, for anything that could possibly be deemed expensive.

The fire-truck chasing loss adjusters are evil sons of bitches, but, they actually do provide some value. You will definitely get more money, even if they take a cut. But all they're really doing, is just nitpicking the ever-living-shit out of everything you possibly owned, and writing them all up "creatively" for the insurance company to process.

Sometimes people would come back to us with "updated* claims. They tried it on their own, and listed stuff like "toaster", "microwave", "tv" .. and weren't happy with what they got back. So they hired a fire-truck chaser, and re-submitted with "more information." I have absolutely seen claims go from under $7k calculated, to over $100k calculated. (It's amazing what can happen when people suddenly "remember" their entire wardrobe came from Nordstrom.)

(reddit, other tips here)

#important #insurance #personal finance

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aion-rsa · 8 years ago

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Amazing Spider-Man Tops Direct Market Sales in March 2017

Below you’ll find the sales estimates for comics and trade paperbacks sold in the direct market for March, 2017. The sales numbers below are estimates based on the information provided by Diamond Comics Distributors earlier this month. Sales estimates for February, 2017 can be found here.

There are a couple of things to keep in mind when reading this data. These numbers are just estimates for the sales through Diamond to direct market retailers. It does not include any sales outside of the Diamond channel such as newstands, book stores or overseas markets. Since the majority of habitual comic book readers are served through this sales channel, these numbers are a good indicator of the core sales trends at the retail level. While not all copies will sell to readers, each retailer is buying what they think they can sell so the trends at the retail level should be a close enough reflection of the sales trends at the reader level for the purposes of discussion.

The breakdowns are for just the top comics and top trades listed below. These are not the overall market share. I only deal with numbers that I can see and kick around in my ever evolving number crunching system. Sometimes the numbers get a bit battered and bruised in the process.

The estimated total sales for the 300 comics was 6,635,631 comics which is up by 309,340 units from February and up by 547,699 units from March 2016. DC Comics had the largest percentage of the top 300 comics with 40.73% of the total units sold followed by Marvel Comics with 38.90%.

The top selling comic from DC Comics was “Dark Knight III: The Master Race (2015)” #8 in slot 2 with an estimated 107,892 units and for Marvel Comics was “Amazing Spider-Man (2015)” #25 in rank 1 with an estimated 113,934 units.

The estimated total sales for the 300 trades was 380,898 trades which is up by 63,700 units from February and down by 62,901 units from March 2016.

Topping the trades list in March was “Saga v7” by Image Comics with 22,903 units.

I’ll be back later with an analysis of the numbers below.

If you’d like to listen to an in-depth discussion of the sales data, check out the Mayo Report episodes of the Comic Book Page podcast at http://ift.tt/13EeU1f. In addition to those episodes, every Monday is a Weekly Comics Spotlight episode featuring a comic by DC, a comic by Marvel and a comic by some other publisher. I read around 200 new comics a month so we cover a wide variety of what is current being published. If you are looking for more or different comics to read, check out the latest Previews Spotlight episode which features clips from various comic book fans talking about the comics they love. With thousands of comics in Previews every month, Previews Spotlight episodes are a great way to find out about things which may have flown under your comic book radar.

DIAMOND OVERALL SHARES

Publisher Market Share By Units Market Share By Dollars MARVEL COMICS 34.34% 35.41% DC ENTERTAINMENT 35.46% 28.75% IMAGE COMICS 10.02% 10.71% IDW PUBLISHING 4.72% 5.68% DARK HORSE COMICS 3.09% 3.48% BOOM! STUDIOS 1.86% 2.15% DYNAMITE ENTERTAINMENT 2.00% 1.76% TITAN COMICS 1.06% 1.15% VIZ MEDIA 0.43% 1.14% VALIANT ENTERTAINMENT LLC 1.37% 1.14% ARCHIE COMIC PUBLICATIONS 0.77% 0.79% RANDOM HOUSE 0.21% 0.72% AVATAR PRESS INC 0.41% 0.69% ONI PRESS INC. 0.46% 0.66% ZENESCOPE ENTERTAINMENT INC 0.49% 0.47% ACTION LAB ENTERTAINMENT 0.36% 0.38% AFTERSHOCK COMICS 0.29% 0.35% HACHETTE BOOK GROUP USA 0.10% 0.32% ST. MARTINS PRESS 0.10% 0.32% JOE BOOKS INC. 0.25% 0.29% OTHER NON-TOP 20 2.20% 3.63%

TOP COMICS BREAKDOWN

Publisher NI RI TI Min Price Max Price Avg Price Total Reported Units Total Reported Dollars Percent of Top Comics By Units Percent of Top Comics By Dollars DC Comics 87 0 87 $2.99 $5.99 $3.52 2,702,537 $9,278,275.63 40.73% 35.65% Marvel Comics 88 0 88 $3.99 $9.99 $4.17 2,581,570 $11,349,578.30 38.90% 43.60% Image Comics 37 0 37 $2.99 $5.99 $3.87 540,058 $2,022,599.12 8.14% 7.77% IDW Publishing 29 1 30 $3.99 $7.99 $4.42 240,769 $1,053,055.31 3.63% 4.05% Dark Horse 18 0 18 $3.99 $3.99 $3.99 184,109 $734,594.91 2.77% 2.82% Dynamite Entertainment 10 0 10 $3.99 $3.99 $3.99 99,381 $396,530.19 1.50% 1.52% Valiant Entertainment 6 0 6 $3.99 $3.99 $3.99 95,240 $380,007.60 1.44% 1.46% BOOM! Studios 6 0 6 $3.99 $7.99 $4.66 57,524 $252,252.76 0.87% 0.97% Archie Comics 4 0 4 $3.99 $4.99 $4.49 47,854 $221,631.46 0.72% 0.85% Titan Comics 4 0 4 $3.99 $3.99 $3.99 22,079 $88,095.21 0.33% 0.34% Oni Press 2 0 2 $3.99 $3.99 $3.99 16,488 $65,787.12 0.25% 0.25% Aftershock Comics 1 0 1 $3.99 $3.99 $3.99 7,509 $29,960.91 0.11% 0.12% Abstract Studios 1 0 1 $3.99 $3.99 $3.99 7,481 $29,849.19 0.11% 0.11% Albatross Funnybooks 1 0 1 $3.99 $3.99 $3.99 6,097 $24,327.03 0.09% 0.09% Zenescope Entertainment 1 0 1 $3.99 $3.99 $3.99 5,832 $23,269.68 0.09% 0.09% Bongo Entertainment 1 0 1 $3.99 $3.99 $3.99 5,778 $23,054.22 0.09% 0.09% Black Mask Studios 1 0 1 $3.99 $3.99 $3.99 5,573 $22,236.27 0.08% 0.09% Broadsword Comics 1 0 1 $2.95 $2.95 $2.95 4,928 $14,537.60 0.07% 0.06% Joe Books 1 0 1 $3.99 $3.99 $3.99 4,824 $19,247.76 0.07% 0.07%

Legend: NI = New Items, RI = Reorder Items, TI = Total Items

TOP TRADES BREAKDOWN

Publisher NI RI TI Min Price Max Price Avg Price Total Reported Units Total Reported Dollars Percent of Top Trades By Units Percent of Top Trades By Dollars Image Comics 16 48 64 $9.99 $59.99 $17.05 101,194 $1,575,070.06 27.47% 15.93% Marvel Comics 37 53 90 $9.99 $150.00 $53.03 99,436 $5,162,091.35 27.00% 52.20% DC Comics 31 37 68 $9.99 $99.99 $21.73 86,818 $1,810,349.82 23.57% 18.31% IDW Publishing 11 4 15 $9.99 $49.99 $22.38 16,578 $337,107.14 4.50% 3.41% Dark Horse 11 0 11 $6.00 $29.99 $18.26 13,849 $231,532.23 3.76% 2.34% BOOM! Studios 7 1 8 $14.99 $19.99 $15.87 11,837 $190,316.63 3.21% 1.92% VIZ 10 2 12 $4.99 $24.99 $11.74 11,225 $124,661.75 3.05% 1.26% Dynamite Entertainment 0 2 2 $16.99 $24.99 $20.99 4,003 $84,034.97 1.09% 0.85% ONI Press 3 1 4 $9.99 $19.99 $12.49 3,124 $43,062.83 0.85% 0.44% Valiant 2 1 3 $14.99 $24.99 $19.99 2,725 $54,097.75 0.74% 0.55% Random House 4 0 4 $10.95 $12.99 $11.48 2,710 $31,010.78 0.74% 0.31% Aftershock Comics 1 0 1 $14.99 $14.99 $14.99 2,613 $39,168.87 0.71% 0.40% Albatross Exploding Funny Book 1 0 1 $17.99 $17.99 $17.99 2,084 $37,491.16 0.57% 0.38% Avatar 1 0 1 $19.99 $19.99 $19.99 1,674 $33,463.26 0.45% 0.34% St. Martins Press 3 0 3 $9.99 $12.99 $11.99 1,386 $16,900.14 0.38% 0.17% Drawn and Quarterly 3 0 3 $14.95 $21.95 $19.62 1,361 $27,143.95 0.37% 0.27% Joe Books 2 0 2 $9.99 $9.99 $9.99 1,109 $11,078.91 0.30% 0.11% Titan Comics 2 0 2 $14.99 $19.99 $17.49 1,040 $17,904.60 0.28% 0.18% Bongo Comics 1 0 1 $15.99 $15.99 $15.99 855 $13,671.45 0.23% 0.14% Humanoids 1 0 1 $29.95 $29.95 $29.95 646 $19,347.70 0.18% 0.20% Zenescope Entertainment 1 0 1 $9.99 $9.99 $9.99 603 $6,023.97 0.16% 0.06% Big Dog Ink 1 0 1 $19.99 $19.99 $19.99 563 $11,254.37 0.15% 0.11% Hachette Book Group/Yen Press 1 0 1 $13.00 $13.00 $13.00 457 $5,941.00 0.12% 0.06% Black Mask Comics 0 1 1 $12.99 $12.99 $12.99 424 $5,507.76 0.12% 0.06%

TOP COMICS

Qty Rank Index Price Pub Title # R Est Sales Prev Issue Prev Issue Est Sales Delta Delta % WL 1 116.14 $9.99 MAR Amazing Spider-Man (2015) 25 113,934 24 61,953 51,981 83.90% 0 2 109.98 $5.99 DC Dark Knight III: The Master Race (2015) 8 107,892 7 119,114 -11,222 -9.42% 0 3 100.00 $2.99 DC Batman (2016) 18 98,100 17 99,637 -1,537 -1.54% 0 4 99.39 $2.99 DC Batman (2016) 19 97,501 18 98,100 -599 -0.61% 0 5 91.39 $3.99 MAR Iron Fist (2017) 1 89,652 0 6 85.31 $4.99 MAR X-Men: Prime (2017) 1 83,689 0 7 73.41 $3.99 MAR Star Wars (2015) 29 72,017 28 74,002 -1,985 -2.68% 0 8 73.20 $4.99 DC All Star Batman (2016) 8 71,809 7 77,096 -5,287 -6.86% 1 9 71.79 $2.99 IMA Walking Dead (2003) 165 70,422 164 83,999 -13,577 -16.16% 0 10 63.73 $2.99 DC Justice League (2016) 16 62,515 15 64,230 -1,715 -2.67% 0 11 62.35 $2.99 DC Justice League (2016) 17 61,165 16 62,515 -1,350 -2.16% 0 12 61.70 $3.99 VAL X-O Manowar (2017) 1 60,524 0 13 61.59 $3.99 MAR Star Wars: Darth Maul (2017) 2 60,415 1 105,177 -44,762 -42.56% 0 14 60.88 $2.99 DC Detective Comics (1937) 952 59,722 951 59,630 92 0.15% 0 15 60.31 $2.99 DC Detective Comics (1937) 953 59,160 952 59,722 -562 -0.94% 0 16 59.00 $2.99 DC Superman (2016) 18 57,879 17 54,561 3,318 6.08% 0 17 57.53 $2.99 DC Superman (2016) 19 56,439 18 57,879 -1,440 -2.49% 0 18 56.02 $2.99 DC Flash (2016) 18 54,959 17 55,234 -275 -0.50% 0 19 55.91 $2.99 DC Batwoman (2017) 1 54,849 0 20 54.96 $2.99 DC Flash (2016) 19 53,918 18 54,959 -1,041 -1.89% 0 21 54.38 $2.99 DC Justice League of America (2017) 2 53,349 1 93,494 -40,145 -42.94% 0 22 53.83 $4.99 MAR IvX (2016) 6 52,811 5 53,348 -537 -1.01% 0 23 51.67 $3.99 MAR Spider-Man/Deadpool (2016) 15 50,691 14 38,307 12,384 32.33% 0 24 51.40 $4.99 MAR Inhumans: Prime (2017) 1 50,422 0 25 49.44 $2.99 DC Justice League of America (2017) 3 48,504 2 53,349 -4,845 -9.08% 0 26 48.40 $2.99 DC Wonder Woman (2016) 18 47,484 17 48,662 -1,178 -2.42% 0 27 48.35 $3.99 MAR Old Man Logan (2016) 19 47,428 18 38,679 8,749 22.62% 0 28 48.30 $3.99 DC Action Comics (1938) 975 47,382 974 41,712 5,670 13.59% 0 29 47.94 $3.99 MAR Deadpool (2015) 28 47,026 27 32,836 14,190 43.21% 0 30 47.93 $2.99 DC Super Sons (2017) 2 47,021 1 90,345 -43,324 -47.95% 0 31 47.75 $2.99 DC Action Comics (1938) 976 46,846 975 47,382 -536 -1.13% 0 32 47.65 $2.99 DC Wonder Woman (2016) 19 46,745 18 47,484 -739 -1.56% 0 33 47.64 $3.99 MAR All New Wolverine (2015) 18 46,731 17 29,255 17,476 59.74% 0 34 46.18 $3.99 MAR Unworthy Thor (2016) 5 45,298 4 46,006 -708 -1.54% 0 35 45.94 $2.99 DC Suicide Squad (2016) 13 45,064 12 46,860 -1,796 -3.83% 0 36 45.75 $3.99 DAR American Gods: Shadows (2017) 1 44,885 0 37 44.44 $3.99 MAR America (2017) 1 43,592 0 38 44.23 $2.99 DC Suicide Squad (2016) 14 43,388 13 45,064 -1,676 -3.72% 0 39 44.10 $2.99 DC Harley Quinn (2016) 15 43,264 14 43,798 -534 -1.22% 0 40 43.97 $3.99 MAR Man-Thing (2017) 1 43,131 0 41 43.60 $2.99 DC Harley Quinn (2016) 16 42,767 15 43,264 -497 -1.15% 0 42 43.38 $2.99 DC Titans (2016) 9 42,557 8 44,028 -1,471 -3.34% 0 43 43.29 $3.99 MAR Star Wars: Doctor Aphra (2016) 5 42,465 4 43,475 -1,010 -2.32% 0 44 42.61 $3.99 MAR Doctor Strange (2015) 18 41,801 17 37,686 4,115 10.92% 0 45 41.98 $4.99 MAR Clone Conspiracy: Omega (2017) 41,179 0 46 41.07 $2.99 DC Nightwing (2016) 16 40,289 15 41,423 -1,134 -2.74% 0 47 40.23 $2.99 DC Nightwing (2016) 17 39,467 16 40,289 -822 -2.04% 0 48 40.22 $3.99 MAR Captain America: Steve Rogers (2016) 13 39,454 12 32,567 6,887 21.15% 0 49 40.14 $2.99 DC Trinity (2016) 7 39,380 6 42,001 -2,621 -6.24% 0 50 39.96 $3.99 MAR Avengers (2016) 5 39,204 4 22,810 16,394 71.87% 0 51 39.50 $3.99 MAR Invincible Iron Man (2016) 5 38,746 4 36,600 2,146 5.86% 0 52 39.45 $3.99 MAR Star Wars: Poe Dameron (2016) 12 38,696 11 40,235 -1,539 -3.83% 0 53 38.89 $3.99 MAR Old Man Logan (2016) 20 38,151 19 47,428 -9,277 -19.56% 0 54 38.34 $3.99 MAR Black Panther (2016) 12 37,612 11 35,492 2,120 5.97% 3 55 38.30 $2.99 DC Teen Titans (2016) 6 37,572 5 39,028 -1,456 -3.73% 0 56 38.23 $3.99 MAR Amazing Spider-Man: Renew Your Vows (2016) 5 37,508 4 31,750 5,758 18.14% 0 57 36.81 $3.99 MAR Mighty Thor (2015) 17 36,106 16 40,175 -4,069 -10.13% 0 58 36.69 $2.99 DC Hal Jordan and the Green Lantern Corps (2016) 16 35,996 15 36,331 -335 -0.92% 0 59 36.52 $2.99 DC Green Lanterns (2016) 18 35,824 17 36,626 -802 -2.19% 0 60 36.05 $2.99 DC Green Lanterns (2016) 19 35,368 18 35,824 -456 -1.27% 0 61 35.89 $2.99 DC Hal Jordan and the Green Lantern Corps (2016) 17 35,205 16 35,996 -791 -2.20% 0 62 35.61 $4.99 MAR Monsters Unleashed (2017) 4 34,937 3 38,205 -3,268 -8.55% 0 63 35.58 $3.99 MAR Thanos (2014) 5 34,901 4 32,032 2,869 8.96% 0 64 35.55 $4.99 DC Titans (2016) Annual 1 34,878 0 65 35.48 $3.99 MAR Spider-Gwen (2015b) 18 34,810 17 29,168 5,642 19.34% 0 66 35.05 $3.99 DC Wild Storm (2017) 2 34,380 1 49,493 -15,113 -30.54% 0 67 34.05 $3.99 MAR Spider-Man (2016) 14 33,403 13 34,195 -792 -2.32% 1 68 33.96 $3.99 MAR Uncanny X-Men (2016) 19 33,318 18 34,948 -1,630 -4.66% 0 69 33.86 $3.99 MAR Champions (2016) 6 33,220 5 31,344 1,876 5.99% 0 70 33.85 $4.99 MAR Monsters Unleashed (2017) 5 33,205 4 34,937 -1,732 -4.96% 0 71 32.71 $3.99 MAR Venom (2016) 5 32,088 4 38,337 -6,249 -16.30% 0 72 32.45 $2.99 DC Green Arrow (2016) 18 31,838 17 32,392 -554 -1.71% 0 73 32.20 $3.99 MAR Captain America: Steve Rogers (2016) 14 31,592 13 39,454 -7,862 -19.93% 0 74 31.92 $4.99 DC Harleys Little Black Book (2015) 6 31,311 5 41,785 -10,474 -25.07% 22 75 31.58 $2.99 DC Green Arrow (2016) 19 30,984 18 31,838 -854 -2.68% 0 76 31.36 $3.99 MAR Extraordinary X-Men (2015) 20 30,765 19 32,328 -1,563 -4.83% 0 77 31.32 $3.99 IMA Reborn (2016) 5 30,721 4 31,102 -381 -1.23% 5 78 30.89 $3.99 MAR Hulk (2016) 4 30,304 3 27,968 2,336 8.35% 0 79 30.63 $2.99 DC Aquaman (2016) 18 30,044 17 30,584 -540 -1.77% 0 80 29.85 $2.99 DC Aquaman (2016) 19 29,279 18 30,044 -765 -2.55% 0 81 29.61 $2.99 IMA Paper Girls (2015) 12 29,047 11 30,562 -1,515 -4.96% 0 82 29.20 $3.99 MAR Mighty Captain Marvel (2016) 3 28,649 2 24,172 4,477 18.52% 1 83 28.98 $3.99 MAR Punisher (2016) 10 28,433 9 27,448 985 3.59% 6 84 28.87 $3.99 MAR Infamous Iron Man (2016) 6 28,319 5 29,685 -1,366 -4.60% 0 85 28.80 $3.99 DC Justice League/Power Rangers (2017) 3 28,254 2 32,835 -4,581 -13.95% 0 86 28.59 $3.99 MAR Daredevil (2015) 18 28,050 17 31,794 -3,744 -11.78% 0 87 28.43 $2.99 DC Red Hood and the Outlaws (2016) 8 27,894 7 28,753 -859 -2.99% 0 88 28.37 $3.99 MAR All New X-Men (2015) 19 27,830 18 30,334 -2,504 -8.25% 0 89 28.16 $3.99 MAR Uncanny Avengers (2015b) 21 27,622 20 31,089 -3,467 -11.15% 1 90 27.87 $3.99 MAR Jessica Jones (2016) 6 27,342 5 25,769 1,573 6.10% 0 91 27.62 $3.99 MAR Guardians of Galaxy (2015) 18 27,094 17 31,093 -3,999 -12.86% 0 92 27.37 $3.99 MAR Gwenpool (2015) 13 26,850 12 17,080 9,770 57.20% 0 93 26.77 $2.99 DC Batman Beyond (2016) 6 26,261 5 27,495 -1,234 -4.49% 0 94 25.99 $2.99 DC Deathstroke (2016) 14 25,493 13 26,328 -835 -3.17% 0 95 25.96 $2.99 DC Batgirl (2016) 9 25,469 8 26,539 -1,070 -4.03% 0 96 25.64 $3.99 MAR Moon Knight (2016) 12 25,152 11 26,467 -1,315 -4.97% 0 97 25.64 $4.99 DC Green Lantern/Space Ghost (2017) Special 1 25,149 0 98 25.31 $4.99 DC Suicide Squad/Banana Splits (2017) Special 1 24,834 0 99 25.27 $3.99 MAR Kingpin (2017) 2 24,789 1 36,095 -11,306 -31.32% 0 100 25.23 $2.99 DC Deathstroke (2016) 15 24,746 14 25,493 -747 -2.93% 0 101 25.17 $3.99 DC Doom Patrol (2016) 5 24,693 4 26,261 -1,568 -5.97% 10 102 25.07 $4.99 IMA Royal City (2017) 1 24,597 -3 103 25.07 $2.99 DC Supergirl (2016) 7 24,592 6 26,240 -1,648 -6.28% 0 104 23.47 $3.99 MAR Totally Awesome Hulk (2015) 17 23,020 16 18,136 4,884 26.93% 0 105 23.40 $3.99 IMA Kill Or Be Killed (2016) 7 22,957 6 26,312 -3,355 -12.75% 0 106 23.39 $2.99 DC Batgirl and the Birds of Prey (2016) 8 22,941 7 24,466 -1,525 -6.23% 0 107 23.05 $3.99 IDW Batman/Teenage Mutant Ninja Turtles Adventures (2016) 5 22,616 4 24,927 -2,311 -9.27% -1 108 23.01 $3.99 MAR Deadpool and Mercs for Money (2016) 9 22,575 8 20,745 1,830 8.82% 0 109 22.90 $3.99 IMA Rat Queens (2017) 1 22,461 110 22.78 $4.99 DC Batgirl (2016) Annual 1 22,344 0 111 22.03 $3.99 MAR Avengers (2016) 5.1 21,614 5 39,204 -17,590 -44.87% 0 112 21.55 $3.99 MAR Gamora (2016) 4 21,136 3 15,457 5,679 36.74% 0 113 21.52 $3.99 MAR Man-Thing (2017) 2 21,116 1 43,131 -22,015 -51.04% 0 114 21.35 $3.99 MAR Ghost Rider (2016) 5 20,942 4 15,339 5,603 36.53% 0 115 20.91 $2.99 DC Hellblazer (2016) 8 20,510 7 21,450 -940 -4.38% 0 116 20.09 $3.99 MAR Elektra (2017) 2 19,712 1 44,310 -24,598 -55.51% 0 117 20.00 $3.99 DAR Serenity: No Power in the Verse (2016) 6 19,621 5 19,505 116 0.59% 118 19.70 $4.99 MAR Guardians of Galaxy (2015) Monsters Unleashed 1 19,327 0 119 19.54 $3.99 MAR Ms Marvel (2015) 16 19,172 15 19,870 -698 -3.51% 0 120 19.48 $4.99 ARC Riverdale (2017) 1 19,109 6 121 19.32 $4.99 MAR Uncanny Inhumans (2015) 20 18,951 19 19,341 -390 -2.02% 122 19.22 $2.99 DC Superwoman (2016) 8 18,857 7 20,435 -1,578 -7.72% 0 123 18.97 $3.99 IMA I Hate Fairyland (2015) 11 18,606 10 20,534 -1,928 -9.39% 0 124 18.78 $3.99 DC He Man/Thundercats (2016) 6 18,424 5 18,278 146 0.80% 0 125 18.51 $3.99 MAR Deadpool the Duck (2017) 5 18,156 4 18,682 -526 -2.82% 0 126 18.49 $4.99 DC Adam Strange/Future Quest (2017) Special 1 18,134 0 127 18.44 $3.99 MAR Doctor Strange: Sorcerers Supreme (2016) 6 18,094 5 19,402 -1,308 -6.74% 0 128 18.34 $3.99 IMA Old Guard (2017) 2 17,991 1 23,867 -5,876 -24.62% 0 129 18.32 $3.99 MAR Ultimates 2 (2016) 5 17,975 4 21,235 -3,260 -15.35% 0 130 18.26 $3.99 IMA Extremity (2017) 1 17,917 5 131 18.17 $2.99 IMA Outcast (2014) 26 17,820 24 18,520 -700 -3.78% 1 132 18.11 $3.99 MAR Unbeatable Squirrel Girl (2015b) 18 17,765 17 11,898 5,867 49.31% 0 133 18.06 $3.99 MAR Black Widow (2016) 12 17,720 11 18,279 -559 -3.06% 0 134 17.83 $3.99 MAR Captain America: Sam Wilson (2015) 20 17,496 19 18,105 -609 -3.36% 0 135 17.75 $3.99 MAR Occupy Avengers (2016) 5 17,413 4 11,965 5,448 45.53% 0 136 17.62 $3.99 DC Scooby Apocalypse (2016) 11 17,281 10 17,993 -712 -3.96% 0 137 17.57 $3.99 MAR Hawkeye (2016) 4 17,234 3 20,089 -2,855 -14.21% 0 138 17.40 $3.99 MAR US Avengers (2017) 4 17,073 3 19,476 -2,403 -12.34% 0 139 17.28 $3.99 DE Vampirella (2016) 1 16,954 0 140 17.26 $3.99 MAR Bullseye (2017) 2 16,936 1 33,511 -16,575 -49.46% 0 141 16.99 $3.99 BOO Mighty Morphin Power Rangers (2016) 13 16,668 12 17,120 -452 -2.64% -1 142 16.60 $3.99 IMA East of West (2013) 32 16,281 31 16,964 -683 -4.03% 3 143 16.52 $3.99 BOO Planet of the Apes/Green Lantern (2017) 2 16,203 1 22,712 -6,509 -28.66% 0 144 16.39 $3.99 MAR Silver Surfer (2016) 9 16,082 8 16,217 -135 -0.83% 15 145 16.35 $4.99 MAR Totally Awesome Hulk (2015) Monsters Unleashed 1 16,040 0 146 16.15 $3.99 MAR Black Panther: World of Wakanda (2016) 5 15,847 4 17,454 -1,607 -9.21% 0 147 16.10 $4.99 DC Booster Gold/Flintstones (2017) Special 1 15,795 0 148 16.08 $3.99 MAR Spider-Man 2099 (2015) 21 15,770 20 16,690 -920 -5.51% 0 149 16.06 $3.99 DC Future Quest (2016) 11 15,750 10 16,246 -496 -3.05% 0 150 15.88 $2.99 DC New Super Man (2016) 9 15,576 8 16,962 -1,386 -8.17% 0 151 15.82 $2.99 IMA Spawn (1992) 271 15,517 270 15,778 -261 -1.65% 152 15.76 $3.99 MAR Silk (2015b) 18 15,464 17 16,610 -1,146 -6.90% 0 153 15.75 $3.99 DC Kamandi Challenge (2017) 3 15,446 2 16,650 -1,204 -7.23% 0 154 15.68 $3.99 DE Red Sonja (2017) 3 15,382 2 14,721 661 4.49% 155 15.62 $3.99 MAR Nova (2016) 4 15,323 3 19,265 -3,942 -20.46% 0 156 15.62 $3.99 IMA God Country (2017) 3 15,321 2 17,701 -2,380 -13.45% 157 15.59 $2.99 IMA Moonshine (2016) 6 15,289 5 14,561 728 5.00% 2 158 15.27 $2.99 DC Cyborg (2016) 10 14,977 9 16,274 -1,297 -7.97% 0 159 15.24 $4.99 MAR Doctor Strange/Punisher: Magic Bullets (2016) 4 14,949 3 17,981 -3,032 -16.86% 0 160 14.97 $2.99 DC Blue Beetle (2016) 7 14,690 6 15,906 -1,216 -7.64% 0 161 14.87 $3.99 IMA Wicked and Divine (2014) 27 14,589 26 15,651 -1,062 -6.79% 0 162 14.60 $3.99 DC Mother Panic (2016) 4 14,327 3 14,783 -456 -3.08% 2 163 14.60 $3.99 MAR Rocket Raccoon (2016) 4 14,324 3 15,791 -1,467 -9.29% 0 164 14.45 $3.99 MAR Power Man and Iron Fist (2016) 14 14,174 13 14,808 -634 -4.28% 0 165 14.24 $3.99 IMA Descender (2015) 20 13,974 19 15,753 -1,779 -11.29% 0 166 13.92 $2.99 DC Earth 2: Society (2015) 22 13,653 21 13,761 -108 -0.78% 0 167 13.91 $3.99 IDW Star Trek/Green Lantern: Stranger Worlds (2016) 4 13,643 3 14,526 -883 -6.08% 1 168 13.78 $3.99 BOO Grass Kings (2017) 1 13,515 0 169 13.74 $3.99 IMA Low (2014) 16 13,478 15 12,955 523 4.04% 0 170 13.53 $3.99 DC Batman 66 Meets Wonder Woman 77 (2017) 3 13,277 2 14,484 -1,207 -8.33% 0 171 13.44 $3.99 IDW Teenage Mutant Ninja Turtles (2011) 68 13,183 67 15,255 -2,072 -13.58% 0 172 13.42 $3.99 MAR Star-Lord (2016) 4 13,162 3 15,002 -1,840 -12.27% 0 173 13.31 $3.99 DC Death of Hawkman (2016) 6 13,053 5 11,879 1,174 9.88% 0 174 13.10 $3.99 IMA Sex Criminals (2013) 17 12,849 16 22,494 -9,645 -42.88% 0 175 13.04 $3.99 DC DC Comics Bombshells (2015) 23 12,794 22 13,204 -410 -3.11% 0 176 13.01 $3.99 MAR Star-Lord (2016) 5 12,761 4 13,162 -401 -3.05% 0 177 12.94 $3.99 MAR Thunderbolts (2016) 11 12,699 10 14,095 -1,396 -9.90% 0 178 12.77 $3.99 DC DC Comics Bombshells (2015) 24 12,525 23 12,794 -269 -2.10% 0 179 12.59 $3.99 IMA Lazarus (2013) 26 12,348 25 11,922 426 3.57% 22 180 12.59 $3.99 MAR Spider-Woman (2015) 17 12,347 16 12,797 -450 -3.52% 0 181 12.58 $3.99 DC Mother Panic (2016) 5 12,339 4 14,327 -1,988 -13.88% 0 182 12.56 $3.99 MAR Unstoppable Wasp (2017) 3 12,324 2 16,292 -3,968 -24.36% 0 183 12.45 $3.99 DE James Bond (2017) 1 12,209 0 184 12.37 $3.99 DAR Hellboy and BPRD: 1954: Ghost Moon (2017) 1 12,134 0 185 12.35 $3.99 IMA Curse Words (2017) 3 12,116 2 15,248 -3,132 -20.54% 0 186 12.09 $3.99 DAR Black Hammer (2016) 7 11,862 6 12,352 -490 -3.97% 187 11.88 $2.99 DC Fall and Rise of Captain Atom (2017) 3 11,659 2 12,671 -1,012 -7.99% 0 188 11.83 $2.99 IMA Invincible (2003) 134 11,605 132 11,505 100 0.87% 0 189 11.81 $4.99 ARC Jughead: The Hunger (2017) 1 11,585 0 190 11.78 $3.99 DC Cave Carson Has a Cybernetic Eye (2016) 6 11,558 5 12,388 -830 -6.70% 0 191 11.27 $4.99 IDW Teenage Mutant Ninja Turtles Universe (2016) 8 11,058 7 11,452 -394 -3.44% -1 192 11.27 $3.99 DE Wonder Woman 77/Bionic Woman (2016) 3 11,054 2 12,462 -1,408 -11.30% 193 11.23 $3.99 DC Odyssey of the Amazons (2017) 3 11,013 2 14,334 -3,321 -23.17% 0 194 11.17 $3.99 ARC Archie (2015) 18 10,953 17 11,533 -580 -5.03% 195 11.13 $2.99 DC Injustice: Ground Zero (2016) 7 10,920 6 11,110 -190 -1.71% 0 196 11.12 $3.99 MAR Spider-Man: Homecoming Prelude (2017) 1 10,905 0 197 11.08 $3.99 DAR Buffy the Vampire Slayer: Season 11 (2016) 5 10,869 4 11,169 -300 -2.69% 0 198 10.88 $2.99 DC Injustice: Ground Zero (2016) 8 10,670 7 10,920 -250 -2.29% 0 199 10.82 $3.99 DC Shade the Changing Girl (2016) 6 10,612 5 11,670 -1,058 -9.07% 0 200 10.77 $3.99 DC Savage Things (2017) 1 10,568 0 201 10.76 $3.99 IMA Underwinter (2017) 1 10,555 0 202 10.46 $3.99 IDW My Little Pony: Friendship is Magic (2012) 52 10,260 51 10,552 -292 -2.77% 0 203 9.80 $3.99 VAL Bloodshot Reborn (2015) 0 9,610 0 204 9.67 $3.99 DE Nancy Drew/Hardy Boys (2017) 1 9,491 205 9.66 $3.99 DC Astro City (2013) 42 9,481 41 10,066 -585 -5.81% 7 206 9.64 $3.99 DE Charmed (2017) 1 9,458 207 9.52 $3.99 IMA Deadly Class (2014) 27 9,339 26 9,760 -421 -4.31% 208 9.39 $3.99 DC Flintstones (2016) 9 9,213 8 9,551 -338 -3.54% 0 209 9.35 $3.99 MAR Great Lakes Avengers (2016) 6 9,170 5 9,823 -653 -6.65% 0 210 9.29 $3.99 DC Midnighter and Apollo (2016) 6 9,111 5 9,366 -255 -2.72% 0 211 9.25 $3.99 IMA Motor Crush (2016) 4 9,071 3 8,870 201 2.27% 0 212 9.23 $3.99 IMA Injection (2015) 11 9,052 10 11,771 -2,719 -23.10% 0 213 9.15 $3.99 DAR Lady Killer 2 (2016) 4 8,976 3 9,935 -959 -9.65% 18 214 9.05 $3.99 BOO WWE (2017) 3 8,878 2 10,836 -1,958 -18.07% 1 215 9.01 $3.99 MAR Prowler (2016) 6 8,843 5 10,170 -1,327 -13.05% 0 216 8.70 $3.99 IDW Ghostbusters 101 (2017) 1 8,534 0 217 8.61 $3.99 ONI Rick and Morty (2015) 24 8,448 23 8,702 -254 -2.92% 0 218 8.43 $3.99 MAR Moon Girl and Devil Dinosaur (2015) 17 8,273 16 8,440 -167 -1.98% 0 219 8.29 $2.99 DC Gotham Academy: Second Semester (2016) 7 8,131 6 8,624 -493 -5.72% 0 220 8.20 $3.99 ONI Redline (2017) 1 8,040 0 221 8.02 $3.99 DAR Conan the Slayer (2016) 7 7,868 6 8,057 -189 -2.35% 9 222 7.91 $4.99 IDW My Little Pony: Deviations (2017) 7,762 1 223 7.81 $3.99 IDW Star Trek: Boldly Go (2016) 6 7,666 5 7,724 -58 -0.75% 3 224 7.81 $3.99 DAR Aliens vs Predator: Life and Death (2016) 4 7,660 3 7,740 -80 -1.03% 0 225 7.71 $3.99 IMA Magdalena (2017) 1 7,567 0 226 7.71 $3.99 DAR Aliens: Defiance (2016) 10 7,559 9 7,653 -94 -1.23% 5 227 7.65 $3.99 AFT Animosity (2016) 6 7,509 5 8,497 -988 -11.63% 5 228 7.65 $3.99 IDW Rom (2016) 7 7,504 6 8,176 -672 -8.22% 6 229 7.63 $3.99 ABS Motor Girl (2016) 4 7,481 3 8,458 -977 -11.55% -4 230 7.60 $3.99 TTN Skydoll Sudra (2017) 1 7,458 231 7.53 $4.99 IDW Star Trek: Deviations (2017) 7,385 -1 232 7.43 $3.99 BOO Steven Universe (2017) 2 7,292 1 11,671 -4,379 -37.52% 2 233 7.41 $3.99 VAL Divinity III: Stalinverse (2016) 4 7,274 3 7,496 -222 -2.96% 0 234 7.41 $3.99 IDW Optimus Prime (2016) 5 7,274 4 7,600 -326 -4.29% -1 235 7.37 $3.99 MAR Patsy Walker Aka Hellcat (2015) 16 7,232 15 7,532 -300 -3.98% 0 236 7.36 $7.99 IDW My Little Pony (2017) Annual 1 * 7,217 1 237 7.34 $2.99 IMA Green Valley (2016) 6 7,204 5 7,187 17 0.24% 0 238 7.27 $2.99 DC Super Powers (2016) 5 7,136 4 7,770 -634 -8.16% 0 239 7.21 $3.99 DAR Angel: Season 11 (2017) 3 7,075 2 6,681 394 5.90% 0 240 7.16 $2.99 IMA Manifest Destiny (2013) 27 7,028 26 9,007 -1,979 -21.97% 0 241 7.05 $3.99 DC Lucifer (2015) 16 6,917 15 7,120 -203 -2.85% 0 242 7.05 $3.99 DAR Rebels: These Free And Independent States (2017) 1 6,913 0 243 6.99 $3.99 IDW Rom (2016) 8 6,858 7 7,504 -646 -8.61% 5 244 6.94 $3.99 MAR Mosaic (2016) 6 6,812 5 7,313 -501 -6.85% 0 245 6.89 $3.99 DE James Bond: Hammerhead (2016) 6 6,762 5 7,253 -491 -6.77% 0 246 6.89 $2.99 IMA Birthright (2014) 23 6,756 22 7,025 -269 -3.83% 2 247 6.87 $5.99 IMA Head Lopper (2015) 5 6,736 4 7,938 -1,202 -15.14% 0 248 6.83 $3.99 IDW Transformers: Lost Light (2016) 4 6,702 3 6,770 -68 -1.00% 1 249 6.69 $3.99 IMA Nailbiter (2014) 30 6,560 29 6,574 -14 -0.21% 0 250 6.58 $3.99 DAR Visitor: How And Why He Stayed (2017) 2 6,453 1 8,034 -1,581 -19.68% 0 251 6.52 $7.99 IDW Transformers (2017) Annual 1 6,396 4 252 6.49 $4.99 IDW Transformers vs GI Joe Movie Adaptation (2017) 6,370 2 253 6.49 $3.99 IMA Copperhead (2014) 11 6,369 10 8,662 -2,293 -26.47% 0 254 6.44 $3.99 IDW Gi Joe (2016) 3 6,322 2 7,325 -1,003 -13.69% 3 255 6.44 $2.99 DC Scooby Doo Team Up (2013) 24 6,316 23 5,959 357 5.99% 0 256 6.42 $3.99 VAL Divinity III: Escape from Gulag 396 (2017) 1 6,298 257 6.37 $3.99 IDW Transformers: Till All Are One (2016) 8 6,253 7 6,426 -173 -2.69% 5 258 6.35 $3.99 DAR Lobster Johnson: Pirates Ghost (2017) 1 6,230 0 259 6.34 $3.99 DC Lost Boys (2016) 6 6,217 5 6,527 -310 -4.75% 0 260 6.33 $3.99 ARC Josie and the Pussycats (2016) 5 6,207 4 6,583 -376 -5.71% 261 6.29 $4.69 IMA Sex Criminals (2013) 17 6,171 16 22,494 -16,323 -72.57% 0 262 6.28 $3.99 DE Kiss (2016) 6 6,162 5 6,493 -331 -5.10% 0 263 6.23 $3.99 IDW Star Trek: Waypoint (2016) 4 6,109 3 6,487 -378 -5.83% -2 264 6.22 $3.99 ALB Spookhouse (2016) 3 6,097 2 7,559 -1,462 -19.34% 11 265 6.18 $4.99 IMA Few (2017) 3 6,067 2 8,431 -2,364 -28.04% 0 266 6.17 $3.99 DE James Bond: Felix Leiter (2017) 3 6,054 2 6,976 -922 -13.22% 0 267 6.12 $3.99 IDW GI Joe: A Real American Hero (2010) 237 6,001 236 6,163 -162 -2.63% 5 268 6.11 $3.99 IDW GI Joe: A Real American Hero (2010) 238 5,992 237 6,001 -9 -0.15% 1 269 6.01 $3.99 IDW X-Files (2016) 11 5,896 10 6,642 -746 -11.23% 2 270 5.97 $3.99 DE Kiss: Demon (2017) 3 5,855 2 6,215 -360 -5.79% 0 271 5.94 $3.99 ZEN Grimm Fairy Tales (2016) 3 5,832 2 4,957 875 17.65% 3 272 5.93 $3.99 DC Everafter (2016) 7 5,819 6 5,399 420 7.78% 0 273 5.89 $3.99 BON Simpsons Comics (1993) 238 5,778 237 5,799 -21 -0.36% 1 274 5.88 $3.99 VAL Faith (2016b) 9 5,771 8 6,018 -247 -4.10% 0 275 5.87 $3.99 VAL Ninjak (2015) 25 5,763 24 5,768 -5 -0.09% 0 276 5.85 $3.99 IMA Beauty (2015) 13 5,735 12 6,179 -444 -7.19% 1 277 5.83 $3.99 IDW X-Files (2016) 12 5,717 11 5,896 -179 -3.04% 3 278 5.80 $3.99 DAR Harrow County (2015) 21 5,691 20 5,768 -77 -1.33% 0 279 5.79 $7.99 BOO WWE Wrestlemania (2017) Special 1 5,683 0 280 5.74 $3.99 IDW Jem and the Holograms (2015) 24 5,630 23 5,888 -258 -4.38% 7 281 5.68 $3.99 BLA Space Riders: Galaxy Of Brutality (2017) 1 5,573 0 282 5.67 $3.99 IDW Back to the Future: Biff to the Future (2017) 2 5,567 1 6,764 -1,197 -17.70% 3 283 5.59 $3.99 BOO Big Trouble in Little China/Escape from New York (2016) 6 5,488 5 5,627 -139 -2.47% 284 5.49 $3.99 IDW Back to the Future: Biff to the Future (2017) 3 5,382 2 5,567 -185 -3.32% 4 285 5.46 $4.99 IDW X-:Files Deviations (2017) 5,360 -2 286 5.34 $3.99 DAR Once and Future Queen (2017) 1 5,241 0 287 5.31 $3.99 MAR Foolkiller (2016) 5 5,210 4 6,573 -1,363 -20.74% 0 288 5.27 $3.99 DAR Baltimore: The Red Kingdom (2017) 2 5,171 1 6,141 -970 -15.80% 0 289 5.13 $3.99 IMA Black Road (2016) 8 5,030 7 5,340 -310 -5.81% 0 290 5.12 $5.99 DC Suicide Squad (2016) Director’s Cut 1 5,024 0 291 5.08 $3.99 DAR Shadows on the Grave (2016) 3 4,980 2 5,288 -308 -5.82% 0 292 5.06 $3.99 IDW Mask: Mobile Armored Strike Kommand (2016) 3 4,965 2 5,902 -937 -15.88% 5 293 5.04 $3.99 IDW Revolutionaries (2017) 3 4,944 2 5,532 -588 -10.63% 5 294 5.03 $3.99 TTN Doctor Who: The 10th Doctor: Year Three (2017) 3 4,930 2 5,161 -231 -4.48% 2 295 5.02 $2.95 BRO Tarot: Witch of the Black Rose (1999) 103 4,928 102 4,919 9 0.18% 0 296 5.02 $3.99 DAR Elfquest: The Final Quest (2013) 19 4,921 18 4,992 -71 -1.42% 1 297 5.01 $3.99 IMA Loose Ends (2017) 3 4,912 2 5,858 -946 -16.15% 0 298 4.97 $3.99 TTN Doctor Who: The 12th Doctor: Year Two (2016) 15 4,879 14 5,003 -124 -2.48% 5 299 4.92 $3.99 JOE Disney Princess (2016) 9 4,824 8 6,150 -1,326 -21.56% 8 300 4.91 $3.99 TTN Doctor Who: The 11th Doctor: Year Three (2017) 3 4,812 2 5,122 -310 -6.05% 3 304 4.76 $6.99 AVA Cinema Purgatorio (2016) 8 4,672 7 4,946 -274 -5.54% 9 306 4.75 $3.99 DE Spirit: Corpse Makers (2017) 2 4,658 1 6,033 -1,375 -22.79% 5 308 4.73 $3.99 TTN Doctor Who: The 9th Doctor (2016) 11 4,639 10 4,637 2 0.04% 6 309 4.73 $3.99 TTN Doctor Who: The 9th Doctor (2016) 10 4,637 9 4,822 -185 -3.84% 6 310 4.72 $3.99 BOO Adventure Time (2012) 62 4,627 61 4,683 -56 -1.20% 0 311 4.71 $3.99 ARC Reggie and Me (2016) 3 4,619 2 5,614 -995 -17.72% 314 4.69 $3.99 AVA Uber: Invasion (2016) 4 4,598 3 4,532 66 1.46% -3 315 4.68 $3.99 AAR Grimm Fairy Tales (2016) 4 4,590 3 5,832 -1,242 -21.30% 2 317 4.61 $3.99 ACT Spongebob Comics (2011) 66 4,522 65 4,456 66 1.48% 0 322 4.42 $3.99 JOE Reggie and Me (2016) 4 4,338 3 4,619 -281 -6.08% 324 4.37 $6.99 JOE Cinema Purgatorio (2016) 9 4,291 8 4,672 -381 -8.15% 5 326 4.34 $4.00 AFT Cerebus in Hell (2016) 2 4,257 1 5,139 -882 -17.16% 1 331 4.20 $4.99 ZEN Zombie Tramp (2014) 33 4,123 32 4,044 79 1.95% -2 335 4.10 $3.99 BLA Disney Darkwing Duck (2016) 8 4,025 7 4,530 -505 -11.15% 10 337 4.09 $3.99 ASP Disney Frozen (2016) 6 4,010 5 5,056 -1,046 -20.69% 4 352 3.70 $3.99 NBM Rough Riders: Riders On The Storm (2017) 2 3,632 2 366 3.38 $3.99 ASP Cinderella: Serial Killer Princess (2016) 3 3,316 2 3,134 182 5.81% 3 373 3.22 $3.99 AFT Dregs (2017) 2 3,158 1 375 3.22 $3.99 ACT All New Fathom (2017) 2 3,155 1 4,549 -1,394 -30.64% 376 3.20 $3.99 ZEN Tales From the Crypt (2016) 2 3,136 1 6,007 -2,871 -47.79% 12 379 3.11 $3.99 ZEN Soulfire (2014) 1 3,052 0 380 3.11 $3.99 ZEN Rough Riders Nation (2017) 1 3,048 0 381 3.10 $4.99 ZEN Vampblade Season Two (2017) 1 3,044 0 382 3.10 $3.99 ACT Grimm Fairy Tales: Robyn Hood: I Love Ny (2016) 10 3,041 9 2,925 116 3.97% 2 385 3.05 $3.99 FAN Evil Heroes (2016) 6 2,995 5 3,078 -83 -2.70% 12 388 2.97 $3.99 AME Grimm Fairy Tales: Van Helsing ss The Mummy of Amun Ra (2017) 3 2,915 2 2,839 76 2.68% 390 2.95 $3.99 AFT Grimm Fairy Tales: Day of the Dead (2017) 2 2,891 1 3,589 -698 -19.45% 393 2.89 $4.99 BLA Dollface (2017) 3 2,835 2 3,146 -311 -9.89% 400 2.77 $4.99 ZEN All Time Comics: Crime Destroyer (2017) 2,716 403 2.72 $3.99 ZEN Stargate: Atlantis: Gateways (2016) 3 2,673 2 2,929 -256 -8.74% 10 404 2.72 $3.99 BLA Alters (2016) 5 2,669 4 3,081 -412 -13.37% 4 408 2.65 $3.99 AFT Quantum Teens Are Go (2017) 2 2,596 1 4,541 -1,945 -42.83% 0 414 2.59 $3.99 ZEN Grimm Fairy Tales: Grimm Tales of Terror (2015) 2 2,544 1 2,796 -252 -9.01% 4 419 2.55 $3.99 ZEN Grimm Fairy Tales: Grimm Tales of Terror (2015) 3 2,504 2 2,544 -40 -1.57% 1 422 2.52 $3.99 AVA IT: The Secret World of Modern Banking (2017) 1 2,474 0 424 2.52 $3.99 E-C Insexts (2015) 10 2,472 9 2,852 -380 -13.32% 9 429 2.40 $3.99 JOE Grimm Fairy Tales: Red Agent: Human Order (2017) 5 2,357 4 2,350 7 0.30% 430 2.40 $3.99 ZEN Grimm Fairy Tales: Red Agent: Human Order (2017) 4 2,350 3 2,409 -59 -2.45% 433 2.26 $5.99 AVA Jungle Fantasy Ivory (2016) 7 2,213 6 2,183 30 1.37% 1 434 2.25 $3.99 E-C Pussycats: Sex, Drugs and Impossible (2017) 1 2,203 0 436 2.23 $3.99 JOE Disney Pirates of the Caribbean (2016) 4 2,184 3 2,833 -649 -22.91% 14 440 2.20 $3.99 ZEN Hellchild: The Unholy (2017) 4 2,155 3 2,123 32 1.51%

Legend: Qty Rank = Quantity Rank, Index = Diamond Order Index, Pub = Publisher, # = Issue Number, R = Reorder, Est Sales = Estimated Sales, Prev Issue = Previous Issue, Prev Issue Est Sales = Previous Issue Estimated Sales, WL = Weeks Late

TOP TRADES

Qty Rank Index Price Pub Title Est Sales Total Reported Est Sales 1 23.35 $14.99 IMA Saga v7 22,903 22,903 2 19.42 $14.99 IMA Walking Dead v27: Whisperer War 19,048 19,048 3 5.99 $16.99 DC Harley Quinn v1: Die Laughing 5,879 5,879 4 5.91 $16.99 DC Suicide Squad v1: The Black Vault 5,801 5,801 5 5.44 $17.99 MAR Death Of X 5,335 5,335 6 4.86 $16.99 DC Titans v1: The Return Of Wally West 4,764 4,764 7 4.38 $29.99 MAR Wolverine Old Man Logan 4,301 75,192 8 4.03 $16.99 DC Deathstroke v1: The Professional 3,953 3,953 9 3.74 $16.99 DC Batgirl v1: Beyond Burnside 3,666 3,666 10 3.43 $14.99 IMA Deadly Class v5: Carousel 3,367 3,367 11 3.00 $16.99 DC Hellblazer v1: The Poison Truth 2,941 2,941 12 3.00 $14.99 DAR Black Hammer v1: Secret Origins 2,940 2,940 13 2.83 $14.95 IDW March v1 2,780 24,548 14 2.83 $16.99 IMA Invincible v23 2,775 2,775 15 2.77 $9.99 VIZ One Punch Man v11 2,717 2,717 16 2.77 $19.99 IDW March v3 2,713 16,785 17 2.73 $9.99 VIZ Legend Of Zelda Twilight Princess v1 2,678 2,678 18 2.70 $19.95 IDW March v2 2,647 20,907 19 2.66 $14.99 AFT Animosity v1 2,613 2,613 20 2.55 $24.99 MAR Hulk Season One 2,502 11,747 21 2.47 $17.99 MAR Deadpool Too Soon 2,419 2,419 22 2.46 $17.99 MAR Karnak Flaw In All Things 2,413 2,413 23 2.45 $14.99 BOO Saban Power Rangers Aftershock Movie 2,406 2,406 24 2.43 $16.99 DC Flintstones v1 2,386 2,386 25 2.39 $9.99 IMA Saga v1 2,345 231,419 26 2.30 $19.99 DC Dc Comics Bombshells v3: Uprising 2,254 2,254 27 2.28 $16.99 DC Cyborg v1: The Imitation Of Life 2,235 2,235 28 2.28 $17.99 MAR Spider-Man Miles Morales v2 2,235 2,235 29 2.19 $15.99 MAR Unbeatable Squirrel Girl v5: Only Squirrel In World 2,151 2,151 30 2.12 $17.99 ALB Hillbilly v1 2,084 2,084 31 2.11 $6.00 DAR Dark Horse Number Ones 2,072 2,072 32 2.07 $125.00 MAR Shang-Chi Master Of Kung Fu Omnibus v3 2,027 2,027 33 2.06 $14.99 IMA Sword v1: Fire 2,020 5,082 34 2.04 $24.99 DE Mercy Thompson Hopcross Jilly 2,003 2,003 35 2.04 $16.99 DE La Banks Vampire Huntress v1 2,000 2,000 36 2.01 $19.99 DC Watchmen 1,973 33,477 37 2.01 $17.99 MAR Unbelievable Gwenpool v2: Head Of Modok 1,971 1,971 38 2.00 $9.99 IMA Cannibal v1 1,959 1,959 39 1.96 $9.99 IMA Seven To Eternity v1 1,920 10,831 40 1.93 $39.99 DC Zatanna By Paul Dini 1,894 1,894 41 1.89 $17.99 DC Flash v1: Lightning Strikes Twice 1,850 9,231 42 1.89 $19.99 BOO Lumberjanes Gotham Academy 1,850 1,850 43 1.87 $19.99 VAL Valiant Zeroes And Origins v1 1,838 2,437 44 1.86 $99.99 MAR Hawkeye By Matt Fraction And David Aja Omnibus 1,824 4,755 45 1.86 $16.99 DC Batman v1: I Am Gotham 1,821 12,960 46 1.85 $16.99 BOO Mighty Morphin Power Rangers v2 1,815 1,815 47 1.84 $12.99 IMA Paper Girls v2 1,807 16,772 48 1.82 $9.99 IMA Glitterbomb v1: Red Carpet 1,787 1,787 49 1.81 $99.99 MAR Captain America Return Of Winter Soldier Omnibus 1,777 3,855 50 1.77 $16.99 DC Batman By Brian K Vaughan 1,737 1,737 51 1.76 $14.99 IMA Saga v6 1,722 53,265 52 1.71 $19.99 AVA Providence Act 01 Final Ptg 1,674 1,674 53 1.70 $9.99 IMA Paper Girls v1 1,669 41,670 54 1.66 $19.99 DAR Bprd Hell On Earth v15: Cometh The Hour 1,631 1,631 55 1.66 $16.99 MAR Wolverine Old Man Logan v1: Berzerker 1,627 9,250 56 1.64 $16.99 DC Lucifer v2: Father Lucifer 1,608 1,608 57 1.62 $9.99 IMA Snotgirl v1: Green Hair Dont Care 1,588 7,092 58 1.61 $14.99 IMA Afar 1,575 1,575 59 1.58 $34.99 MAR Deadpool Classic v17: Headcanon 1,548 1,548 60 1.57 $125.00 MAR Star Wars Marvel Yrs Omnibus v2 1,538 4,437 61 1.56 $29.99 DC Teen Titans By Geoff Johns v1 1,531 1,531 62 1.55 $125.00 MAR Star Wars Marvel Yrs Omnibus v3 1,521 3,932 63 1.53 $16.99 IMA Wayward v4: Threads And Portents 1,498 1,498 64 1.52 $16.99 MAR Power Man And Iron Fist v2: Civil War Ii 1,490 1,490 65 1.51 $14.99 BOO Giant Days v4 1,485 1,485 66 1.49 $39.99 MAR New Mutants Epic Collection Renewal 1,457 1,457 67 1.47 $19.99 MAR Carnage Usa 1,438 1,438 68 1.41 $39.99 MAR Wolverine Vs Punisher 1,386 1,386 69 1.40 $39.99 MAR X-Men Epic Collection Second Genesis 1,376 1,376 70 1.40 $18.99 DAR 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salvex-posts-blog · 8 years ago

Photo

Evapco PMGB885 Evaporative Condenser with Compressor

Salvex Listing ID: 182971988

Item Details:

This Evapco Evaporative Condenser with Compressor are no longer needed for company's own operation as the company is upgraded. Details are listed below:

Qty: 1 unit

Manufacturer: Evapco

Serial number: 015646

Model no: PMGB885

Dimenstions: 19'x12'

Manufactured in: 2004.

Includes 1 compressor.

Horsepower of the compressor: 150-200 HP

Type of refrigerant being used for the unit: Ammonia

Liquid temp is 90 degrees and the suction is 12 degrees F.

Quantity: 1 unit

Retail Value: $35,000.00

Location: West Columbia, South Carolina, United States

Condition:

The unit is in good shape and condition but being sold because the company is upgrading their machines. Coming out by 26th of March. The compressor will be removed on the 2nd week of April. Unit is stacked in multiple sections but will be broken down for loading. Buyer is responsible for shipping and handling. Seller can help in loading if the buyer meets their expected price. Seller will help in loading. Sold "AS IS, WHERE IS".

Seller Terms:

This product is purchased, as is where is basis, buyer is responsible for all moving and freight costs. The seller does not offer any warranties or any manufacturer warranties. Upon receipt of cleared funds, seller will give the buyer a release order for item pick up. All product sold as is, where is.

Go to http://www.salvex.com/listings/listing_detail.cfm?aucID=182971988 to view complete listing (with photos) and place your bid. Contact Salbin Zerin at 346-262-0503 or 713 229 9000 if you have specific questions pertaining to this listing.