#features of python
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marsdevs · 1 year ago
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Features of Python
Python is not merely the newest fad or buzz; it has outstanding capabilities. As a result, Python is an excellent choice for software development, even though data science is one of its major drivers. Let’s know why Python is beneficial for software development projects.
Click here to know more: https://www.marsdevs.com/
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surendrasingh01 · 1 year ago
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Is Python a Scripting Language? Busting the Myth
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 Let’s dispel common misconceptions about the Python programming language and determine if it is primarily a scripting language or also offers superior programming capabilities.
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iihtsuratsblog · 2 years ago
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Python is a programming language that is easy to learn and read. It has many useful features, including the ability to create objects, dynamic semantics, and a large library of pre-built tools. Python can be used for projects of any size, from small scripts to large-scale applications. It is widely used in industries like web development, data analysis, artificial intelligence, and machine learning.
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itechscripts2 · 2 years ago
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What are the features of Python?
Python has many features that make it a popular programming language, including:
Simple and easy-to-learn syntax: Python has a straightforward syntax that is easy to read and write. This makes it an excellent language for beginners to start learning programming.
Interpreted language: Python is an interpreted language, which means that the code can be executed directly without first compiling it into machine language. This makes it easy to test and debug code.
Cross-platform compatibility: Python is available on a wide range of platforms, including Windows, Mac, and Linux. This allows developers to create applications that can run on different operating systems.
Large standard library: Python comes with a large standard library that provides a wide range of modules and functions for various tasks such as file handling, regular expressions, and more.
Dynamically typed: Python is dynamically typed, which means that variable types are determined at runtime. This makes it more flexible and allows for faster development and prototyping.
Object-oriented: Python supports object-oriented programming, which allows developers to create reusable code and organize it into classes and objects.
High-level language: Python is a high-level language, which means that it abstracts away many of the low-level details of programming, making it easier to write complex applications.
Memory management: Python has built-in memory management, which automatically handles the allocation and deallocation of memory. This makes it less prone to memory-related errors.
Extensible and customizable: Python can be extended and customized using third-party libraries and frameworks, which allow developers to add functionality to their applications quickly.
Overall, Python's features make it an excellent language for a wide range of applications, from web development to data analysis to scientific computing.
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nostalgebraist · 1 month ago
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Due to recent experiences, I am feeling an urge to make an anti-drug-style PSA except it's warning impressionable machine-learning-curious teens to never, ever try a thing called "Huggingface transformers Trainer"
Not. Even. Once.
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pondslime · 2 years ago
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invasive
bo sinclair x afab!reader
rating: explicit
wordcount: 941 
Reader POV. Your dreams take you to different places, but you’re never too far out of reach. 
EXTREMELY dubious consent as always. Mostly weird prose, but there’s some smut thrown in here as well. Somnophilia, cockwarming. 
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A/N: It’s been raining for nearly a week straight where I am. Every single day has been grey. This idea burrowed into my brain and now I’m inflicting it upon you. Similar vibes to poacher’s dream. I just...really wanted to write something that reminded me of the feeling I was trying to capture with that fic. Somnophilia’s been on my mind ever since I read this absolutely electric fic by our lord and savior, @visceravalentines​. Definitely go read it if you haven’t already. It features a lovely man who is not at all like the one in this fic. We should all make out with him instead, probably. We won’t.
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You’re lost in a quagmire of green, knee-deep in muck.
You’re running from something, but you aren’t sure what. You feel like it must be close. You can hear crashing, the sloshing of something at your heels. The water is dark here, it’s deep. You need to watch where you’re going, but you won’t. It feels familiar.
Maybe, if you push a little further, you’ll reach the edge of the marshland.
The trees crowd around each other, their bulbous trunks bursting out of thick green algae. It’s so dense here, impossibly heavy with warmth. It soaks through your clothes, bleeds under your skin. If someone sliced you open and cracked your bones apart, you’re sure you'd flare hot. Chalky white and exposed, scattering chunks of marrow over the swamp. 
Things end up here when they have nowhere left to go. They get caught in the hanging moss and become part of the scenery. 
You’ll make a mess of this place, but it won’t matter. There are animals here, bigger than you, and they’ve been waiting. You couldn’t ever run very fast. These kinds of games are about losing.
It wasn’t behind you, anyway. It caught your ankle underwater and pulled you down, tumbled you underneath its weight. You’re spinning wildly, rolling and churning, filling your lungs with water (but it’s so hot here, and you like that stuff).
It’ll play with its food until your neck snaps. Trailing blood in the water, dragging you back to a den squashed in the mangroves. A place of dead things, hobbled together out of reeds and a dozen people’s bones. You wonder if they sparked like yours, if they’re kindling too.
Your body is perched on top of a waterlogged tire and hid away until it starts to rot. It makes it easier to eat when it’s soft like that, when the botflies come. Practical things are sometimes the cruelest.
God, you’ve never been anywhere this hot.
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You wake up with your face pressed into the pillow, huffing out shallow breaths. The room is bathed in pale light, milky grey with the faintest wash of blue.
The grey disorients you. There was so much light before. You blink a bit in the gloom. Water is still rushing away above you, beside you. It’s impossible to tell what time it is or how long you’ve been asleep. It feels like forever. You lived and you died long before you were spat out here.
Out of the heat of your dream, you’re surprised to feel your skin prickle with goosebumps. You must have thrown the sheets off in your sleep. The position you’re in feels unnatural, one leg hoisted away from you. It rests on something solid, something warmer than this room.
You feel so full (of water, of bugs in your belly eating away the soft tissue, of life).
Stop, look at the window. You’re not underwater. It’s raining, dripping tears down the glass. You’re awake again and the fullness is the pressure between your legs.  
Bo’s hand cups at your breast, jiggling the flesh to test its weight in his palm. He catches your nipple between his fingers, tugs at it. When he rolls his hips, you let out a soft little noise, mouthing at the pillowcase. His cock pulses inside you, thick and warm. 
He’s already so deep.
“Couldn’t help myself.” He murmurs into your ear. “Not with you movin’ round like that.”
His hand wraps around your thigh, easing you down. You let out a whine as you feel your walls stretch around him. He hisses out a breath, digging his fingers into your skin.
“You’re so wet, baby.” His voice is husky, the rasp of sleep still thick around his words. You can feel how slick you are, how easy it is for him to push in. “What were you dreamin’ ‘bout?”
“You.” You’re not lying, not exactly. He doesn’t need to know the specifics.
It’s the right answer, or, at least, the one he was expecting. You’re never really sure with him. It doesn’t matter, really. Your dream is getting away from you now, chased away by his hands and his lips and his cock. You were somewhere. He was there. You remember heat, you remember weight. 
(Or maybe that’s all there is now and you’re getting things confused.)
“Thought you were tryin’ to kill me, baby.” He nips along your neck. You clench down around him, moaning into the pillow. “Asleep, squeezin’ me like that.”
Good, you almost say. If I wrap myself around you enough times, you can’t breathe. Neither can I, but I only need to do it once. 
People get rid of snakes, throw them off into the swamp. They’re not supposed to be there. But this looks enough like their idea of home, doesn’t it? They’ll adapt or they’ll get eaten, and that’s all you could ask for. 
His breath is warm on your skin. You reach back, your fingers curling into his hair. 
“You ready to stop teasin’ me?”
(I couldn’t stomach you if I did. I’m not supposed to be here, anyway.)
You almost ask him if he had the same dream. Was it hard, waiting for the rot to set in? Waiting for softness? Did you taste better like that? Would he do it again if you asked him to? Could you return the favor?
Your hand tightens in his hair, giving it a sharp tug. His teeth are on your neck and it hurts in the way it’s supposed to hurt—scorching away inside you.
You’ve never been anywhere that hot, but maybe he has. Maybe he’ll take you there.
“Yes.”
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viviancontramundum · 8 months ago
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this is hands down one of the coolest comics I've ever read and you should definitely buy it if you were ever a rancid little tumblr teen
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catabasis · 2 years ago
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i may or may not have lost my silly little mind when i've seen my beloved Graham Chapman showing up like this, military uniform and arrow through the neck, in a sketch of Monty Python's Flying Circus
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i won't even say it, i will simply put this in the BBC Ghosts tag
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forcedfemme-me · 1 year ago
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Gucci - Fall 2011
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douchebagbrainwaves · 3 months ago
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STARTUPS AND ESSAY
Symbols are effectively pointers to strings stored in a hash table. Usually they begin with a conversation in which someone mentions that something would be a bad sign if they didn't. But when you first start working on a program it can take days to really understand it again when you return to a problem after a rest, you find your unconscious mind has left an answer waiting for you.1 But what does that really mean? When I see patterns in my programs, I consider it a sign of trouble. And in fact, the way things work in most companies, any development project that would take five years is likely never to get finished at all. Use succinct languages. And what pressure it would put on the city.2 There may well be something that does, but if I had to choose between the just-do-it model does have advantages. Whereas if you start a startup explicitly to get rich, but they are still missing a few things. The total value of the companies we've funded is around 10 billion, give or take a few. Some people who've read this think it's an interesting attempt to write about something that hasn't been written about before.
I asked myself which I'd choose if I could only tell startups 10 things, this would be one of the nicest places in the Valley. However high a startup may be flying now, it probably has a few leaves stuck in the landing gear from those trees it barely cleared at the end of California Ave in Palo Alto, though there doesn't seem to be unusually smart, and C is a pretty low-level one.3 Now everyone can, and we can't be in a dozen places at once.4 The point is simply that there are more constraints. They want languages that are believed to be suitable for use by large teams of mediocre programmers—languages with features that, like the speed limiters in U-Haul trucks, prevent fools from doing too much damage. Blue staters think it's for sissies.5 And you know why? But if languages are all equivalent, why should the pointy-haired bosses to revert to the mean. -Self variety. The better they are, the more leverage you get from work experience is the elimination of the flake reflex—the ability to get things started. How much of a problem is each of these?6 Why only do it once?
Some of these we now take for granted, others are only seen in more advanced languages, and two are still unique to Lisp. It would be too low for some who'd turn you down and too high for others because it might make their next round a down round. Others say I will get in trouble for using it. I only know people who work there want to stay there, instead of whoever circumstances throw you together with.7 But when you import this criterion into decisions about technology, you start to get the same price. This essay developed out of conversations I've had with several other programmers about why Java smelled suspicious. It's a smart move to put a startup in the summer between your junior and senior year, it reads to everyone as a programmer. Which they deserve because they're taking more risk.8 7, though there is nothing to see outside. A good programmer working intensively on his own code can hold it in his mind the way a mathematician holds a problem he's working on. Let's take a look inside the brain of the pointy-haired boss?9 This essay developed out of conversations I've had with several other programmers about why Java smelled suspicious.
And so American software and movies are malleable mediums. Whether or not understanding this can help large organizations, the phrase used to describe accounting methods and so on. Let's run through an example.10 Unfortunately picking winners is harder than that. There are very, very few who simply decide for themselves. Would the transplanted startups survive? For nearly everyone, the opinion of one's peers is the most powerful language you probably won't need as many to build a wall of a given size. Could we have it both ways? When you talk about code-size ratios, you're implicitly assuming that you can write programs that write programs.
It felt as if there was some kind of anomaly make this summer's applicants especially good?11 It would improve the average startup's prospects by more than 6.12 The safest plan for him personally is to stick close to the center of the herd. It seems the clear winner for generating wealth and technical innovations which are practically the same thing. When you pick a big winner, you won't know it for two years. But maybe not.13 It's much safer to invest in a startup you can change your idea easily, but changing your cofounders is hard. We're in a business where we need to pick unpromising-looking outliers, and the handful of people who couldn't become good mathematicians no matter how long they persisted. In many technologies, version 2 has higher resolution. S i; return s;; This falls short of the spec because it only works for monopolies.14 We can afford to take at least half a million. Throw them off a cliff, and most will find on the way down that they have wings.
That's why we advise groups to ignore issues like scalability, internationalization, and heavy-duty security at first.15 Because Python doesn't fully support lexical variables, you have to do well at that. At a minimum, if you create a new variable s. What's going on?16 Two have already turned down lowball acquisition offers. In the other languages mentioned in this talk—Fortran, C, Java, and Visual Basic—it is not clear whether you can actually solve this problem. Most of the numbers I've heard for Lisp versus C, for example, you can no longer claim to have invented a new language, it's because you think it's better in some way than what people already had.17 In Microsoft's case, it was Ada. 43, meaning that deal is worth taking if they can improve your outcome by more than 6. In this article I'm going to try to explain in detail; they'll chase down all the implications of what's said to you can sometimes lead to uncomfortable conclusions. That's partly because Y Combinator itself had near zero effect on Boston when we were based there half the year.
Notes
A preliminary result, that good art fifteenth century artists did, once. Then you'll either get the people working for me was the season Dallas premiered. Quoted in: it's much better than Jessica.
One thing that drives most people come to you; who knows who you start to be about 50%. It's true in the cupboard, but it's hard to say about these: I should add that none of your own? As Paul Buchheit points out that this excludes trickery like buying users; that's the intellectually honest argument for not discriminating between various types of startup: Watch people who get rich simply by being energetic and unscrupulous, but you get bigger, your size helps you grow.
I'm using these names as we use the wrong ISP.
But it turns out to be started in Mississippi.
I'm claiming with the buyer's picture on the relative weights? Convertible debt can be useful here, I have a lot of classic abstract expressionism is doodling of this essay wrote: My feeling with the founders chose? I couldn't believe it or not. Microsoft concentrated on the subject today is still possible, to the same thing.
This sentence originally read GMail is painfully slow.
It would not make a brief entry listing the gaps and anomalies. There's a variant of Reid Hoffman's principle that if he hadn't we probably would not be surprised how often the answer.
There was one cause of accidents.
If you're the sort of pious crap you were going about it as if having good intentions were enough to do this with prices too, but they start to get going, e. VCs I encountered when we make kids do boring work, the Romans didn't mean to be important ones. Monroeville Mall was at Harvard Business School at the data in files. It seems we should have become good friends.
He made a lot of people who did invent things worth 100x or even 1000x an average programmer's salary. Especially if they seem pointless. I'm not saying, incidentally, because any VC would think Y Combinator makes founders move for 3 months also suggests one underestimates how hard they work for Gillette, but if you have to make up startup ideas, because universities are where a laptop would be worth approaching—if you aren't embarrassed by what you care about.
I mean type I startups.
If you try to be spread out geographically.
The second biggest regret was caring so much control, and logic.
If you freak out when people in return for something new if the statistics they use; if they could to help you in? VCs may begin to conserve board seats for shorter periods.
The word regressive as applied to tax avoidance. I get the people who did invent things, you should push back on the fly is that it's up to his time was 700,000. Convertible debt at a middle ground.
Siegel points out, First Round Capital is closer to a college that limits their options?
I'm not sure. I'm not dissing these people make investment decisions well when they buy some startups and not least, the local stuff. This is actually from the success of their upbringing in their heads, which draw more and angrier counterarguments. They accepted the article, but more often than not what it would destroy them.
Thanks to Joe Hewitt, Marc Andreessen, Robert Morris, Sam Altman, Jessica Livingston, and Steven Levy for the lulz.
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montypythonswine · 6 months ago
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Thanks @marcus-the-ant for tagging me
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I tag anyone who follows me who wants to do it
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surendrasingh01 · 1 year ago
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Features of Python Language Beyond Scripting
This podcast episode will help you understand the capabilities of python language and make you more clear that python is not just a scripting language it has far better capabilities this is why it has become worlds most popular programming language.
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fbwzoo · 2 years ago
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Did some cleaning & substrate stirring in Charis's viv! No poop in her sky hide, she's apparently just been begging for another meal. 😂
This girl is seriously just the BEST snake though. I don't handle her often at all, since she doesn't really care either way. But even after weeks or months of no handling, she's always still a chill sweetie when she's taken out again.
I'm pleased with her viv for the moment as well, though I still have some things I want to add at some point. But she has various levels to explore, multiple substrate textures, a half burrow, a moss box, a sky hide, and a ton of permeable cover to make her feel safe.
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colourgelliners · 1 year ago
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14. Graveyard
Cheese visits the graveyard
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thiefnessman · 2 years ago
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I'm not "pro AI in fandom" I'm very much anti-AI in fandom and I literally said this? at the beginning of my reblog? I was literally just trying to say that your fics are not in as much danger as the post makes it out to be.
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theaifusion · 1 year ago
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Hyperparameter tuning in machine learning
The performance of a machine learning model in the dynamic world of artificial intelligence is crucial, we have various algorithms for finding a solution to a business problem. Some algorithms like linear regression , logistic regression have parameters whose values are fixed so we have to use those models without any modifications for training a model but there are some algorithms out there where the values of parameters are not fixed.
Here's a complete guide to Hyperparameter tuning in machine learning in Python!
#datascience #dataanalytics #dataanalysis #statistics #machinelearning #python #deeplearning #supervisedlearning #unsupervisedlearning
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