#python modules for beginners

[codeonedigest]

Learn Python Modules in 1 Minute | Python Modules Tutorial for Beginners and Students

Hi, a new #video on #python #modules is published on #codeonedigest #youtube channel. Learn the #programming with python #module in 1 minute. Enjoy #coding with python #modules #python #pythontutorial #pythonmodule #pythonmodules #pythonmodulesforbeginn

What is Python Module? Python module is a code library that contains a set of functions that you may want to include in your application. A module allows you to logically organize your Python code. The Grouping of code into a module makes it easier to understand and use.   Simply, a module is a file consist of Python code like functions, classes and variables.  For example, when building a…

[tornadodyke]

also the thing about python as a programming language is that people seem to like it and it seems fun enough but due to the fact that it's known as the "beginner's programming language" for a reason trying to learn it when you already have programming experience is absolutely fucking unbearable because whatever you're using to learn it WILL spend a RIDICULOUS amount of time going over shit you already know. like shut up shut up shut up i know what a variable is i know how to do math with variables i know what data types are i KNOW I KNOW I KNOWWWWWWWWW. so anyway i've given up on python and am instead teaching myself c++ in the meantime

[izicodes]

Hi! I’m a student currently learning computer science in college and would love it if you had any advice for a cool personal project to do? Thanks!

Personal Project Ideas

Hiya!! 💕

It's so cool that you're a computer science student, and with that, you have plenty of options for personal projects that can help with learning more from what they teach you at college. I don't have any experience being a university student however 😅

Someone asked me a very similar question before because I shared my projects list and they asked how I come up with project ideas - maybe this can inspire you too, here's the link to the post [LINK]

However, I'll be happy to share some ideas with you right now. Just a heads up: you can alter the projects to your own specific interests or goals in mind. Though it's a personal project meaning not an assignment from school, you can always personalise it to yourself as well! Also, I don't know the level you are, e.g. beginner or you're pretty confident in programming, if the project sounds hard, try to simplify it down - no need to go overboard!!

But here is the list I came up with (some are from my own list):

Personal Finance Tracker

A web app that tracks personal finances by integrating with bank APIs. You can use Python with Flask for the backend and React for the frontend. I think this would be great for learning how to work with APIs and how to build web applications 🏦

Online Food Ordering System

A web app that allows users to order food from a restaurant's menu. You can use PHP with Laravel for the backend and Vue.js for the frontend. This helps you learn how to work with databases (a key skill I believe) and how to build interactive user interfaces 🙌🏾

Movie Recommendation System

I see a lot of developers make this on Twitter and YouTube. It's a machine-learning project that recommends movies to users based on their past viewing habits. You can use Python with Pandas, Scikit-learn, and TensorFlow for the machine learning algorithms. Obviously, this helps you learn about how to build machine-learning models, and how to use libraries for data manipulation and analysis 📊

Image Recognition App

This is more geared towards app development if you're interested! It's an Android app that uses image recognition to identify objects in a photo. You can use Java or Kotlin for the Android development and TensorFlow for machine learning algorithms. Learning how to work with image recognition and how to build mobile applications - which is super cool 👀

Social Media Platform

(I really want to attempt this one soon) A web app that allows users to post, share, and interact with each other's content. Come up with a cool name for it! You can use Ruby on Rails for the backend and React for the frontend. This project would be great for learning how to build full-stack web applications (a plus cause that's a trend that companies are looking for in developers) and how to work with user authentication and authorization (another plus)! 🎭

Text-Based Adventure Game

If you're interested in game developments, you could make a simple game where users make choices and navigate through a story by typing text commands. You can use Python for the game logic and a library like Pygame for the graphics. This project would be great for learning how to build games and how to work with input/output. 🎮

Weather App

Pretty simple project - I did this for my apprenticeship and coding night classes! It's a web app that displays weather information for a user's location. You can use Node.js with Express for the backend and React for the frontend. Working with APIs again, how to handle asynchronous programming, and how to build responsive user interfaces! 🌈

Online Quiz Game

A web app that allows users to take quizzes and compete with other players. You could personalise it to a module you're studying right now - making a whole quiz application for it will definitely help you study! You can use PHP with Laravel for the backend and Vue.js for the frontend. You get to work with databases, build real-time applications, and maybe work with user authentication. 🧮

Chatbot

(My favourite, I'm currently planning for this one!) A chatbot that can answer user questions and provide information. You can use Python with Flask for the backend and a natural language processing library like NLTK for the chatbot logic. If you want to mauke it more beginner friendly, you could use HTML, CSS and JavaScript and have hard-coded answers set, maybe use a bunch of APIs for the answers etc! This project would be great because you get to learn how to build chatbots, and how to work with natural language processing - if you go that far! 🤖

Another place I get inspiration for more web frontend dev projects is on Behance and Pinterest - on Pinterest search for like "Web design" or "[Specific project] web design e.g. shopping web design" and I get inspiration from a bunch of pins I put together! Maybe try that out!

I hope this helps and good luck with your project!

[xpc-web-dev]

Studying code calmly and avoiding a burnout. Day 2

(27/06/2023)

Hello everyone.

How are you? I hope well.

Today I continued my saga of studying calmly avoiding a burnout (it's serious but it's funny at the same time kkkkkk)

I finished module 1 of javascript and did well in the logic exercises.

And here I've been reflecting and comparing myself a lot with the June 2022 bea, she couldn't do a logic exercise and today I've mastered it well. Sometimes I get choked up. But I can always work it out if I really try.

I installed python 3.11 and here was another overcoming because as I have the linux terminal (I will never recommend it for beginners) I kept having to install and update the version. But today I got it.

(This exercise was to only test my terminal in vscode)

Hey, you must ask yourself, but why python if you have a front-end?

Because I need to learn function and ordering algorithms and I find it easier with python than with javascript. (precisely because I know more about python than js)

With this I started my introductory computer science course and I hope to finish it by Thursday. And how are your studies?

I wish you can overcome your obstacles to achieve your goals, discipline, constancy.

And my personal advice, when my goals aren't enough to motivate me, I decide to win in the power of hate.

Recommend, anger is good if you use it responsibly and intelligently. UEUEHHEUEEU. Drink water.

[amethystsnow]

why the hell is python basically "the beginner language" its so fucking annoying i wanted to try to do something relatively simple (click when the pixel under my cursor changes color) but i had to spend like 45 minutes getting it to be able to control my mouse and do things such as click because i found the module i need for it and tried to install that only for pip to just not work because apparently you need to either be in regular command prompt and type "py -m" before it or you need this longass command in order to do it through the python console and it took way too long to find someone who mentioned that information necessary to install modules but then it wasnt working in pycharm because apparently the installations are specific to the venv rather than just python and so i had to figure out hwo to open up the console in pycharm and use the longass command to install it there BUT THEN that dindt work because the venv didnt allow installing other software or whatever so i had to go to the cfg file for it and FINALLY was able to install it and use it in pycharm. and then i learned that i have to install another module in order to use the sleep command. sleep. why does this beginner language not have a sleep command by default thats such a basic common mechanic why to i need to install and import time anyway if you actually read through all of my rambling and complaining thank you for that and FUCK python. i am however going to continue using it for this little project (building off of the original purpose) because once the modules are installed it is a very simple language

[zabeelinstitutes-blog]

The Ultimate Guide to Mastering Power BI: A Comprehensive Course by Zabeel Institute

In today's data-driven world, businesses are constantly seeking ways to leverage data for better decision-making. One of the most powerful tools to achieve this is Microsoft Power BI, a business analytics solution that empowers organizations to visualize their data, share insights, and make data-driven decisions in real time. If you're looking to gain expertise in this powerful tool, Zabeel Institute's Power BI course in Dubai is the perfect starting point.

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Power BI is a suite of business analytics tools that allows users to analyze data and share insights. With its user-friendly interface and robust capabilities, Power BI enables both beginners and seasoned professionals to create interactive dashboards and reports. Whether you're dealing with simple data sets or complex analytics, Power BI makes data visualization intuitive and accessible.

Why Learn Power BI?

Learning Power BI opens up a world of opportunities. As businesses increasingly rely on data to drive their decisions, professionals skilled in Power BI are in high demand. Here are some compelling reasons why you should consider enrolling in a Power BI course:

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At Zabeel Institute, the Analyzing Data with Microsoft Power BI course is designed to equip you with the skills needed to harness the full potential of Power BI. This comprehensive course covers everything from the basics to advanced data visualization techniques.

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The course begins with an introduction to the Power BI environment. You'll learn about the Power BI service, Power BI Desktop, and how to navigate through these tools efficiently. Understanding the interface is crucial for leveraging the full capabilities of Power BI.

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Power BI allows you to connect to a wide range of data sources, including Excel, SQL Server, Azure, and many more. In this module, you'll learn how to import data from various sources and prepare it for analysis.

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Before you can visualize your data, it often needs to be cleaned and transformed. This section of the course will teach you how to use Power Query to shape and clean your data, ensuring it's ready for analysis.

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Data modeling is a crucial step in the data analysis process. In this module, you'll learn how to create relationships between different data sets and build a robust data model that supports your analysis.

5. Building Interactive Dashboards

One of Power BI's strengths is its ability to create interactive dashboards. You'll learn how to design visually appealing dashboards that provide meaningful insights at a glance.

6. Advanced Data Visualizations

Once you're comfortable with the basics, the course delves into more advanced visualizations. You'll explore custom visuals, R and Python integration, and how to create sophisticated reports that stand out.

7. DAX (Data Analysis Expressions)

DAX is a powerful formula language in Power BI. This section covers the fundamentals of DAX, enabling you to perform complex calculations and create dynamic reports.

8. Power BI Service and Collaboration

Power BI is not just about creating reports—it's also about sharing and collaborating on those reports. You'll learn how to publish your reports to the Power BI service, set up security, and collaborate with your team.

9. Power BI Mobile App

In today's mobile world, being able to access your reports on the go is essential. The course will show you how to use the Power BI Mobile App to view and interact with your dashboards from anywhere.

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To ensure you're getting the most out of Power BI, the course concludes with a module on best practices. This includes tips on performance optimization, report design, and maintaining data security.

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When it comes to learning Power BI, choosing the right institute is crucial. Zabeel Institute stands out for several reasons:

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Understanding Power BI is one thing, but knowing how to apply it in the real world is what truly matters. Here are some examples of how Power BI can be used across various industries:

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To illustrate the impact of Power BI, let's look at a few success stories:

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Mastering Power BI is not just about learning a tool—it's about acquiring a skill that can transform the way you work with data. Whether you're looking to advance your career, enhance your business's decision-making capabilities, or simply stay ahead in today's data-driven world, Zabeel Institute's Power BI course is the perfect choice.

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Ready to transform your career with Power BI? Enroll in Zabeel Institute's Power BI course now and start your journey towards mastering data analysis and visualization. Visit Zabeel Institut for more information.

[blubberquark]

The Dark Arts

As a beginner programmer, you should know that eval() is evil, that you should never copy and paste code in cases when you could just put that code in a function and call that function from both places, that you should use a real debugger instead of printing out values, and that you should not use raw sockets in Python.

Sometimes I see beginners who do not yet understand why you can’t just use eval() or sockets - or eval() together with sockets, even - pretend to be more experienced so the greybeards on IRC will explain to them, only to come back a couple of days later with a bug that should have been really obvious if they were really as experienced as they claimed. Topics like eval() are not closely guarded secrets that the greybeards want to keep to themselves, they are much more like actual literally esoteric knowledge, knowledge that is accessible only to those who have been initiated.

This time, I am trying something different. Instead of explaining why you shouldn’t use those things unless you know what you are doing, I will give you the exceptions. This knowledge will be next to useless unless you have been initiated in the art of software engineering, unless you could already have arrived at the same conclusion on your own.

You have been warned.

Print Debugging

I tried to debug a platformer with break points. Super annoying. Instead I use print, I draw boxes on the screen, I have an in-game log console, I have a button I can hold to show more debug info. It varies from game to game.

Debugging movement is not even about bugs, but about game feel.

eval()

I use eval() in my yarn.py library. It’s something like YarnSpinner, which is something like Twine, but for dialogue trees and multiple choice text embedded in games, not for whole games that are just text. Since it doesn’t use it to run code that was sent over the wire, but code that is part of data files that come with your application, it’s reasonably safe to do this. Statements like <<if $EXPR >> and <<print $EXPR >> will evaluate $EXPR in the scope of the yarn.py session, so that they have access to local variables. The statement <<run $PROG >> will execute $PROG with exec().

I thought about having statements like <<set $VAR to $VALUE>> and to store variables in a dictionary. But why bother? After all this, I’d have my own interpreter for a language that’s worse than Python, so I might as well use eval() and exec().

Adding convenient functionality to yarn.py, like the ability to query a node that has been visited, is only a matter of implementing a function in Python and adding it to the interpreter scope in eval(). Instead of adding a special case to the evaluator to handle visited nodes, I have added a visited dictionary to the interpreter scope, and so users can write <<if visited[”StartNode”]>>.

Copy+Paste

I copied and pasted code in a game of mine that lets you save and view replays. In addition to keeping the the gameplay code under source control, for every major revision of the game I copied the gameplay code into a new file. This way, I can import the appropriate gameplay module for a replay file, and run that.

Gameplay code is decoupled from input handling or rendering. Those actually get updated with every new release.

If I had substantial code sharing between versions, I would need to carefully add conditionals each time I made a change. And if I didn’t have old versions of the gameplay code at all, characters would just miss jumps, get stuck in the ceiling, or otherwise come out of sync with the original gameplay as I tweak the physics of movement.

Good thing I have the animations decoupled from the gameplay, or I’d need to version those too.

Raw Sockets

In my multiplayer real-time strategy game I used raw sockets. Every frame, the game receives UDP packets and updates data structures that keep track of received network communication. Then it sends UDP packets back. As long as a packet goes unacknowledged, it is sent again and again on every subsequent frame.

There were no problems with partial data, because I used UDP packets, which either arrive whole or not at all. There were no problems with buffering and de-syncing, because if no packets were received, the game loop would just continue and try again next frame. Packets didn’t have sequence numbers, but they had time stamps and frame numbers.

This form of networking does not require rollback, client-side prediction, async, or a separate thread, but it does introduce a small, fixed amount of lag. With good networking conditions (wired Ethernet LAN), the lag can be as low as a single frame.

pickle

Just kidding! You should never use pickle.

[dankdungeonsrpg]

Make Your Own C64 Dungeons!

I recently came across a fun YouTube video about programming in basic/python using an 80s guidebook (thanks YouTube algorithm).

P.S. the Commodore 64 had a radical advertising campaign!

Peak '80s Fantasy

The book they were using was published by Usborne Books in the early '80s and is part of a series which are available as free PDF downloads on their website. I was immediately enthralled by:

Write Your Own Fantasy Games For Your Microcomputer: "Dungeon of Doom"

This hit me so hard with the '80s TSR/Games Workshop vibes I almost passed out.

As I dug into the ~50 page book I was not disappointed. It's full of fun art, wonderful layout spreads, and very useful guidance.

The book starts off talking about what a TTRPG is and outlines the tenants of your standard fantasy D&D-style game.

However it also points out that different genres besides fantasy can be played in, which I appreciated.

The way it all works is here; the dungeon levels, the classes, the monsters, the treasure!

Okay, So I Can't USE It Per Se...

Now, I don't have an coding experience, so using this book for its intended purpose would be tough for me. I majored in English after all, this kind of stuff confuses the heck outta me.

That said, these books are for beginners so with a little work and a C64 emulator I'm sure I could figure it out. Maybe I will someday, but I think it has a lot of value in another way.

Teaching The Flow

As someone who has written a few games, and read a few more, I've become really familiar with good instructions and how they are useful anywhere.

In it's explanation of the flow of player input and computer response it lays out the exact kind of procedures we in the OSR are always harping on about.

It's got me thinking that flow charts are something I should just use in my game design. Bulleted lists are all well and good, but curved arrows! That's the stuff.

I think most kinds of modules would benefit from this kind of spread too, especially anything with a strong narrative arc.

I will point out that a couple WoTC 5e modules do think to use this method, but commit to it so poorly that the sparse chart is nearly useless (I'm looking at you Descent into Avernus).

Well That's Basically It

I don't have too much more on this subject other than "Look at this book!" and "Wow, everyone should incorporate the lessons here in their writing!"

Maybe I can convince one of my friends who actually knows programming to help me and we can create our own Dungeon of Doom computer game?

It can't be that hard to make a video game right...

[shemsuji432]

Tips for the Best Way to Learn Python from Scratch to Pro

Python, often regarded as one of the most beginner-friendly programming languages, offers an excellent entry point for those looking to embark on a coding journey. Whether you aspire to become a Python pro or simply want to add a valuable skill to your repertoire, the path to Python proficiency is well-paved. In this blog, we’ll outline a comprehensive strategy to learn Python from scratch to pro, and we’ll also touch upon how ACTE Institute can accelerate your journey with its job placement services.

1. Start with the basics:

Every journey begins with a single step. Familiarise yourself with Python’s fundamental concepts, including variables, data types, and basic operations. Online platforms like Codecademy, Coursera, and edX offer introductory Python courses for beginners.

2. Learn Control Structures:

Master Python’s control structures, such as loops and conditional statements. These are essential for writing functional code. Sites like HackerRank and LeetCode provide coding challenges to practice your skills.

3. Dive into Functions:

Understand the significance of functions in Python. Learn how to define your functions, pass arguments, and return values. Functions are the building blocks of Python programmes.

4. Explore Data Structures:

Delve into Python’s versatile data structures, including lists, dictionaries, tuples, and sets. Learn their usage and when to apply them in real-world scenarios.

5. Object-Oriented Programming (OOP):

Python is an object-oriented language. Learn OOP principles like classes and objects. Understand encapsulation, inheritance, and polymorphism.

6. Modules and Libraries:

Python’s strength lies in its extensive libraries and modules. Explore popular libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

7. Web Development with Django or Flask:

If web development interests you, pick up a web framework like Django or Flask. These frameworks simplify building web applications using Python.

8. Dive into Data Science:

Python is a dominant language in the field of data science. Learn how to use libraries like SciPy and Scikit-Learn for data analysis and machine learning.

9. Real-World Projects:

Apply your knowledge by working on real-world projects. Create a portfolio showcasing your Python skills. Platforms like GitHub allow you to share your projects with potential employers.

10. Continuous learning:

Python is a dynamic language, with new features and libraries regularly introduced. Stay updated with the latest developments by following Python communities, blogs, and podcasts.

The ACTE Institute offers a structured Python training programme that covers the entire spectrum of Python learning. Here’s how they can accelerate your journey:

Comprehensive Curriculum: ACTE’s Python course includes hands-on exercises, assignments, and real-world projects. You’ll gain practical experience and a deep understanding of Python’s applications.

Experienced Instructors: Learn from certified Python experts with years of industry experience. Their guidance ensures you receive industry-relevant insights.

Job Placement Services: One of ACTE’s standout features is its job placement assistance. They have a network of recruiting clients, making it easier for you to land a Python-related job.

Flexibility: ACTE offers both online and offline Python courses, allowing you to choose the mode that suits your schedule.

The journey from Python novice to pro involves continuous learning and practical application. ACTE Institute can be your trusted partner in this journey, providing not only comprehensive Python training but also valuable job placement services. Whether you aspire to be a Python developer, data scientist, or web developer, mastering Python opens doors to diverse career opportunities. So, take that first step, start your Python journey, and let ACTE Institute guide you towards Python proficiency and a rewarding career.

I hope I answered your question successfully. If not, feel free to mention it in the comments area. I believe I still have much to learn.

If you feel that my response has been helpful, make sure to Follow me on Tumblr and give it an upvote to encourage me to upload more content about Python.

Thank you for spending your valuable time and upvotes here. Have a great day.

[softssolutionservice]

Python Development Course: Empowering the Future with Softs Solution Service

Python, a high-level programming language, has emerged as a favorite among developers worldwide due to its emphasis on readability and efficiency. Originating in the late 1980s, Python was conceived by Guido van Rossum as a successor to the ABC language. Its design philosophy, encapsulated by the phrase "Beautiful is better than ugly", reflects a commitment to aesthetic code and functionality. 

What sets Python apart is its versatile nature. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. This flexibility allows developers to use Python for a wide range of applications, from web development and software engineering to scientific computing and artificial intelligence. 

Python’s standard library is another of its strengths, offering a rich set of modules and tools that enable developers to perform various tasks without the need for additional installations. This extensive library, combined with Python’s straightforward syntax, makes it an excellent language for rapid application development. 

One of Python's most significant contributions to the tech world is its role in data science and machine learning. Its easy-to-learn syntax and powerful libraries, like NumPy, Pandas, and Matplotlib, make it an ideal language for data analysis and visualization. Furthermore, frameworks like TensorFlow and PyTorch have solidified Python's position in the development of machine learning models. 

Education in Python programming has become crucial due to its growing demand in the industry. Recognizing this, institutions like Softs Solution Service, IT training institute in Ahmedabad, have stepped up to provide comprehensive Python Development Training. Their Online Python Development Course is tailored to meet the needs of both beginners and seasoned programmers. This course offers an in-depth exploration of Python's capabilities, covering everything from basic syntax to advanced programming concepts. 

The course structure usually begins with an introduction to Python's basic syntax and programming concepts. It then progressively moves into more complex topics, such as data structures, file operations, error and exception handling, and object-oriented programming principles. Participants also get to work on real-life projects, which is vital for understanding how Python can be applied in practical scenarios. 

A significant advantage of online courses like the one offered by Softs Solution Service is their accessibility. Students can learn at their own pace, with access to a wealth of resources and support from experienced instructors. Additionally, these courses often provide community support, where learners can interact with peers, share knowledge, and collaborate on projects. 

Python's future seems bright as it continues to evolve with new features and enhancements. Its growing popularity in various fields, including web development, data analytics, artificial intelligence, and scientific research, ensures that Python developers will remain in high demand. 

In summary, Python is not just a programming language; it's a tool that opens a world of possibilities for developers, data scientists, and tech enthusiasts. With resources like the Online Python Development Course from Softs Solution Service, mastering Python has become more accessible than ever, promising exciting opportunities in the ever-evolving world of technology.

[aletaiechhryret]

The Best Programming Languages For Beginners

When choosing the right programming language, it’s essential to consider your goals and career. You want to make sure that you choose a programming language that is both in demand and easy to learn. Python is an ideal choice for beginners because it reads like English and has a simplified syntax. It’s also versatile and can be used for anything from web development to software development.

Python

Python is a popular general-purpose programming language that’s easy to learn for beginners and widely used in web development, machine learning, art, automation, and more. It also has a vast community of resources that are available to new programmers.

Java is another widely used programming language, especially for mobile app development. It’s used at companies of all sizes (including HubSpot!) and is one of the easiest to learn if you want to develop for a variety of platforms.Better is to click here or visit our official website to know about Programming question answer.

C is an older programming language but still a good choice for beginners because it’s more ��machine-level” and gives you the lowest-level control over computer hardware. It’s also the most common base for other languages, like C# and Ruby.

Java

Despite being not as beginner-friendly as Python, Java is a good programming language to start with. It's a general-purpose programming language with a versatile library and free online tutorials.

It's also a cross-platform language, which makes it suitable for mobile and desktop applications. It's the language of choice for Android development and used in a number of enterprise-level software applications.

C is one of the oldest languages and forms the basis for modern languages like Python, Java, and JavaScript. However, it has a low level of abstraction and requires that code is compiled (translated into machine-readable code) before it can be run. This can make it difficult for beginners to understand. Moreover, its syntax can be confusing. But, it's an excellent foundation for more advanced language learning.

Many people are interested in learning programming, but choosing the best language can be intimidating. Luckily, there are plenty of resources to help you get started. You can learn the basics of multiple languages with a coding boot camp, such as the Georgia Tech Coding Boot Camp, which offers a variety of courses including HTML, JavaScript, and jQuery.

Other popular languages include C, which is a general-purpose, compiled language that’s widely used in back-end software applications like web servers. Python is a versatile programming language that’s easy to learn for beginners and can be used in any application. Ruby is a dynamic, object-oriented language that’s commonly implemented using the Rails framework. Its concise syntax and convention-over-configuration approach makes it easier to build and deploy apps.

Perl

Perl is a high-level dynamic general-purpose scripting language. It is popular among system administrators for its text-processing capabilities, specifically its own in-built version of regular expressions. It is also used for web development and GUI programming.

Beginners can start learning the basics of the programming language by following the free online courses offered on Udemy. These courses begin with basic theory and then move on to specific aspects of the language. They include topics such as lists, arrays, and subroutines. They also cover how to handle errors in coding. Perl has a large community of developers, with over 230 local groups, mailing lists and support/discussion websites. It is also open source and supports more than 25,000 extension modules on CPAN. This flexibility makes it an ideal programming language for beginners.

HTML

Computer programming allows us to create the software and applications that make our lives easier, more entertaining, and more efficient. But deciding which language to learn can be a difficult choice for beginners, particularly when there are so many options available.

Programming languages may seem different on the surface, but they all have similar structures and features. This means that whichever language you choose to learn, you’ll be learning important coding concepts that will be applicable to any other languages you might decide to explore later on.

Before deciding which programming language to learn, it’s important to consider your goals and current skill level. Once you’ve identified your goals, it’s easy to narrow down your options and find the best programming language for beginners.

[londonittraining6]

python training london

python training london

what is python programmingWelcome to the captivating world of Python programming! If you've ever been curious about coding or are looking to enhance your skills, then you're in the right place. Whether you're a beginner eager to dip your toes into the vast ocean of programming or an experienced developer seeking to expand your repertoire, Python has something incredible in store for everyone.

In this blog post, we'll explore everything there is to know about Python - from its origins and benefits, to what makes it such a popular language among programmers worldwide. So grab your favorite beverage and get ready to embark on an exhilarating journey into the realm of Python programming. Let's dive in!

What is Python?Python is a high-level, interpreted programming language that was created by Guido van Rossum and first released in 1991. Known for its simplicity and readability, Python has gained immense popularity among programmers of all levels. It supports multiple programming paradigms, including object-oriented, procedural, and functional programming.

One of the standout features of Python is its clean and elegant syntax. With minimalistic code structure, developers can write concise programs that are easy to understand and maintain. The language also boasts a vast standard library that provides ready-to-use modules for various tasks such as file handling, networking operations, database access, and more.

Python's versatility extends beyond traditional software development. It finds application in areas like web development using frameworks like Django or Flask, data analysis with libraries like pandas or NumPy, machine learning through scikit-learn or TensorFlow - just to scratch the surface.

Furthermore, Python's cross-platform compatibility allows you to run your code seamlessly on different operating systems such as Windows, macOS, Linux without any modifications. This flexibility makes it an ideal choice for building applications across diverse environments.

Whether you're creating simple scripts or complex applications/systems from scratch – Python offers an extensive range of tools and resources to make your coding experience smooth sailing. Its vast community support ensures that you'll never be short on help when facing challenges along the way.

In summary (not conclusive), Python is a dynamic programming language loved by beginners and professionals alike due to its simplicity yet powerful capabilities across various domains – making it an essential tool in every programmer's arsenal.

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Mastering Real Multithreading In Python - Tips And Tricks For Optimal Performance

Are you tired of slow and unresponsive Python programs? Are you ready to take your programming skills to the next level by mastering real multithreading in Python? Look no further!

In this blog post, we will share tips and tricks for achieving optimal performance with real multithreading. Whether you’re a beginner or an experienced developer, these techniques will help you elevate your programming game and create lightning-fast applications that impress even the toughest critics. So let’s dive in and become masters of real multithreading in Python!

INTRODUCTION TO MULTITHREADING IN PYTHON

Multithreading is a powerful tool that can help you write more efficient code. In Python, the standard library provides the threading module, which allows you to create and work with threads. In this article, we’ll look at some tips and tricks for working with threads in Python.

First, let’s take a look at what a thread is. A thread is simply a unit of execution. When you create a new thread, it starts running in parallel with the main thread of your program. This can be useful when you have tasks that are independent of each other and can be run concurrently.

For example, let’s say you’re writing a program that downloads files from the web. You could have one thread responsible for downloading the files, while another thread handles extracting data from the downloaded files. By using two threads, you can make better use of your computer’s resources and potentially speed up the overall execution of your program.

Of course, working with threads also comes with its own set of challenges. For example, if two threads try to access the same data at the same time, they may end up corrupting that data. To avoid this, we need to use synchronization primitives such as locks and semaphores. We’ll discuss these later on in the article.

Now that we know what threads are and why they can be useful, let’s look at how to create and work with them in Python.

OVERVIEW OF MULTITHREADING BENEFITS

Python’s “threading” module allows for the creation of threads within a Python program. These threads can run concurrently, which can lead to performance gains on multicore processors. Multithreading can also be used to improve responsiveness in GUI applications.

There are several benefits to using multithreading in Python programs:

Concurrency: Threads can run concurrently, which can lead to more efficient use of processor resources on multicore processors.

Improved responsiveness: Threads can be used to improve the responsiveness of GUI applications by running tasks in the background while the main thread continues to process user input.

Better utilization of resources: Threads can be used to better utilize system resources such as network and I/O devices. By running multiple threads, these resources can be shared among the various threads and utilized more efficiently.

Reduced latency: Threads can be used to reduce latency in applications that need to perform time-sensitive tasks. By running multiple threads, tasks can be executed in parallel, which can lead to shorter overall execution times.

TYPES OF THREADS AND HOW TO CREATE THEM IN PYTHON

There are two types of threads in Python: the main thread and daemon threads. The main thread is the one that starts when the program begins execution. Daemon threads are created by the main thread and run in the background. They are used to perform tasks such as garbage collection and logging.

Threads can be created in Python using the threading module. To create a thread, you need to instantiate a Thread object. The constructor takes an optional argument, which is a function that will be run by the thread. If no function is provided, the thread will simply exit when it is started.

Once you have created a Thread object, you can start it by calling its start() method. This will cause the function that was passed to the constructor to be executed by the thread. If no function was passed, the thread will simply exit when it is started.

If you want to wait for a thread to finish before continuing execution of your program, you can call its join() method. This will block until the thread has finished running. Note that if you try to join() a daemon thread, your program will never terminate since daemon threads do not ever finish running (unless they are terminated with an unhandled exception).

SYNCHRONIZATION TECHNIQUES

There are many synchronization techniques that can be used to achieve optimal performance in Python. Here are some tips and tricks to help you get the most out of your multithreading applications:

1. Use locks wisely. Locks are a necessary evil in multithreaded programming. They are useful for protecting critical sections of code, but they can also lead to deadlocks if not used correctly. When using locks, always try to acquire them in the same order to avoid deadlocks. 2. Use thread-safe data structures. Some data structures, such as lists and dictionaries, are not thread-safe. This means that if multiple threads try to access and modify them concurrently, strange things can happen. To avoid this, you can use thread-safe versions of these data structures, such as the Queue class from the standard library. 3. Use the new asyncio module. The asyncio module was added in Python 3.4 and it provides a powerful framework for writing concurrent code using coroutines. If you’re targeting Python 3.4 or newer, this is definitely the way to go for optimal performance.

KEY PERFORMANCE OPTIMIZATIONS FOR MULTITHREADED APPLICATIONS

Python’s standard library provides a number of synchronization primitives including locks, semaphores, and events. In this section, we’ll cover some key performance optimizations that can be made when using these synchronization primitives in multithreaded applications.

One optimization that can be made is to use a lock object’s acquire() method with the blocking argument set to False . This will cause the acquire() method to return immediately if the lock is already held by another thread. If the lock is not available, then the current thread will continue executing without blocking. This can be useful in situations where it is not critical for the current thread to acquire the lock.

Another optimization that can be made is to use a semaphore object’s release() method with the count argument set to a value greater than 1 . This will release the semaphore multiple times, which can be helpful in situations where multiple threads are waiting on the semaphore. Releasing the semaphore multiple times can help to avoid unnecessary context switches between threads.

It is important to note that using too many synchronization primitives can actually hurt performance. When used excessively, synchronization primitives can introduce a significant amount of overhead into an application. Therefore, it is important to use them judiciously and only when absolutely necessary.

DEBUGGING TIPS AND PRACTICES

When it comes to debugging multithreaded Python applications, there are a few practices that can make your life much easier. Firstly, it’s important to understand the basics of the Python threading model. The Python Global Interpreter Lock (GIL) ensures that only one thread can execute Python code at a time. This means that if you’re trying to debug a multithreaded application, you need to be aware of the potential for threads to block each other.

Another important practice is to use a tool like pdb or ipdb when debugging multithreaded applications. These tools allow you to set breakpoints in your code and inspect the state of your application at those points. This can be extremely helpful in understanding what is happening in your code and why it is not working as expected.

It’s often useful to run your application under a profiler like Profile or pyprof2calltree. This can help you identify which parts of your code are taking up the most time, which can be helpful in pinpointing areas that need optimization.

CONCLUSION

We have come to the end of our discussion on mastering real multithreading in Python. With these tips and tricks, you will be able to optimize your code for maximum performance. Working with threads can be tricky, so it is important to understand the fundamentals before diving into complex operations like thread pooling or synchronization.

If you use these techniques correctly, you can drastically improve your program’s execution time and maintain a level of concurrency that suits your needs perfectly.

[blubberquark]

The socket module in Python: More than a footgun

Previously: Beginner Problems With TCP & The socket Module in Python, Things To Think About Before You Implement Online Multiplayer

I think I have previously undersold how terrible the socket module in Python is. It's worse. Or rather, what's worse is that often enough, the socket module is all that is available with the "batteries included" with Python 3.X. For anything more, you need to look on PyPI, and there are far too many modules on there that sort of do what you want, but are unmaintained. That is not good for networking, especially on the Internet!

The socket module has a lot of functionality you don't need for Internet applications, and is missing a lot of functionality you do need. Some of that functionality is present with asyncio, but not with socket. This weird feature imparity leads to beginner programmers using asyncio without understanding the use case for asyncio, or without understanding what async does, mixing blocking functions with asyncio.

Even experienced programmers won't be happy with socket. They can see and sidestep some of the pitfalls, but they can't really make productive use of socket on its own. There is no pure-Python way to get your own IP address, network interfaces, or your public IP address. There is no interface for path MTU discovery, and no abstraction layer for handling mixed IPv6/IPv4 connections.

The socket module is not just a footgun. It's little helper gnomes opening your gun safe at light, reloading the footguns you thought safe while you sleep. Even an experienced programmer must treat the socket module as if it can go off at any time!

Solution: A modern Internet-oriented networking module

We need a high-level Internet-oriented networking module as part of Python. Let's call it "networking". It doesn't need any OS-specific networking features, and it doesn't need IPC. It should just have an easy way to opening a socket and communicating over the Internet.

You should be able to query things like IPv4/IPv6 support, and stuff like mobile IP or multi-path TCP, but by default, there should just be a simple interface that takes a DNS name, IPv4 address or IPv6 address, and lets you connect.

There should probably be a "do-what-i-mean multicast" option for UDP, with functions to send and receive broadcast and multicast packets, instead of re-implementing the wrangling of IP addresses and subnet masks every time.

There should probably be a way to extend this, by implementing different message-oriented, datagram-oriented, or stream-oriented protocols, such as SSL and ENet as separate modules.

Most importantly, this module would have its equivalent of Java's BufferedReader. I know that this is super easy to implement, but the lack of a BufferedReader is a major stumbling block for beginners, and it pushes those beginners to use asyncio without understanding what that is or how it works. The "networking" module could have async versions of everything in a separate networking.async namespace. I don't think having awaitable and blocking operations available on the same socket/connection object is sensible, it would be another footgun, so this API duplication seems to me to be the safer option.

We really need full blocking/async parity. I can't stress this enough. Otherwise you end up in bizarre situations where library users write async code inside sync functions and spin up the event loop for every function call, but then call blocking functions in their async code, because to them, async is just a cumbersome way to call blocking functions.

Solution: Interface/Network/Service Discovery

We need a network discovery module as part of Python, maintained and developed in tandem with the old socket and the new networking. It should allow the user/developer to easily enumerate all available network interfaces, their IP addresses, MTU, IPv4/IPv6 status, connectivity, whether they are metered, and whether their networks are connected to the Internet.

Path MTU discovery and ping might also be useful.

Maybe service discovery protocols like Bonjour could live in this module too, or they could be their own module.

Solution: Dealing with NAT

In an ideal world, we would all be using IPv6, and we would somehow know the worldwide unique IP address of our friend's PC - the device we are trying to communicate with. Our router would know to route packets to that IP to our friend's router, and all would be well.

In the real world we are using NAT and VPNs. Some devices have an IPv4 address, others don't. IPv6 usually doesn't help us connect to a friend's PC to play a game.

We need a module (I propose the name "unfirewall" or "traversal") to allow the user/developer to connect or send packets to a computer behind NAT. This module must set up a connection that is either stream-based or datagram-based, and present the same API as raw sockets created with the networking module, or SSL sockets built on top of it.

Whatever system you are using to connect your stream or datagram socket, whether you go through a SOCKS proxy or a TURN server, or you manage to do NAT hole punching via STUN, it should return a networking object that is mostly indistinguishable from one that was connected through your local LAN.

Solution: Common Data Types

Python needs data types for networking addresses, such as IPv4 addresses, IPv6 addresses, DNS names, IDNA, and so on. The above mentioned modules should accept parameters with those types, in addition to old-fashioned 32-bit unsigned integers for IPv4 addresses.

Solution: Network Reliability Simulation

Once we have an ecosystem of modern networking APIs, it becomes easier to write your own network un-reliability simulator. Dropped connections, uneven transmission speeds, partial reads and writes leading to TCP stream read() not lining up with send() from the other end, dropped UDP packets, a whole second of latency, low bandwidth, all those could be simulated on localhost.

Those changes would turn Python networking from a footgun for beginners into something that still causes cursing and frozen GUI widgets when your WLAN connection gets choppy. There is no software fix for radio signal quality, or for an excavator cutting the fiber optic connection between your town and the rest of the world.

[codewithtls]

Learn Coding Online: Master Programming Skills

In today’s digital era, coding has become essential, opening doors to countless opportunities in technology and beyond. Whether you are a beginner or looking to enhance your existing skills, the ability to learn coding online provides unmatched flexibility and convenience.

Online coding courses are designed to cater to diverse learners, offering tutorials, exercises, and real-world projects that build practical knowledge. From programming languages like Python, JavaScript, and Java to advanced topics such as machine learning and web development, there is no shortage of resources to help you master coding from home.

Platforms allowing you to learn coding online are ideal for working professionals, students, and hobbyists. They offer self-paced modules, live classes, and interactive coding challenges, ensuring learners can progress quickly. Additionally, online learning platforms often feature communities and forums, enabling collaboration and peer support.

By choosing to learn coding online, you gain access to expert instructors, cutting-edge tools, and a curriculum tailored to meet industry demands. Whether your goal is to switch careers, start a tech venture, or enhance your problem-solving skills, coding is a valuable asset that empowers your future.