Explanation of why Python continues to grow

Which programming language has been around for over 30 years and is growing in popularity each year?

If you guessed Python, you nailed it. In the 2022 October Report, it turns out that Python is still the second most used programming language on GitHub. Interestingly, Python usage has grown by over 22% year-over-year, and at some point in 2022 he will have over 4 million developers using Python on GitHub.

In this article, we’ll delve into a brief history of Python, its benefits and use cases, and explore why the programming language invented in the 1980s continues to dominate development. And since this is his GitHub, he also provides some helpful tips and tricks for developers new to Python and those with experience.

So what is Python? 🤔

Python is a high-level interpreted programming language with a simple syntax that is easy to read and very easy to use for both users and beginners.originally built to satisfy Guido Van Rossum’s Aspirations for Programming Languages Easy to use and beautiful to look at, Python was first released to the world in 1991.

Fun facts: Python is Named after a BBC TV show“Monty Python’s Flying Circus”.

Since its development, it has been widely applied by developers, data scientists, researchers, etc. But how can you make your coding language look simple and beautiful? Here’s some evidence:

python

print("Hello world.")

Java

public class HelloWorld {
    public static void main (String[]args) {
      System.out.println.("Hello world");
    }
}

• Easy to read. Python code uses English keywords instead of punctuation, and its line breaks help define code blocks. In practice, this means that you can identify what the code is designed to do just by looking at it.

• It’s open source. you can Download source codemodify it and use it as desired.

• Portable. Some languages ​​require code changes to run on different platforms, but Python is a cross-platform language. same You can run your code on any operating system using the Python interpreter.

• Extensible. Python code can be written in other languages ​​(such as C++) and users can add low-level modules to the Python interpreter to customize and optimize the tool.

• There is an extensive standard library. this library Anyone can access it, meaning users don’t have to write code for every function. Users have access to built-in modules that solve problems such as everyday programming.

What is Python commonly used for? 💻

import antigravity

def main():
    antigravity.fly()

if __name__ == '__main__':
    main()

Using Python for web and software development

Python is a popular language for web and software development because it allows you to create complex multi-protocol applications while maintaining a clean and readable syntax. In fact, some of the most popular applications are built with Python. Additionally, Python’s open source community provides developers with a wealth of reusable code, frameworks, and support. Case in point: Django It is one of the most used Python frameworks designed by experienced developers to help others build their applications faster and avoid issues that can slow them down.

Use Python for task automation

One of the main advantages of Python is the ability to automate repetitive manual tasks. With Python, you can learn how to automate almost anything using pre-built code from built-in modules or robust libraries. Alternatively, you can write your own custom scripts to perform specific actions.For example, you can easily automate emails “smtplib” module or copy the file “shutil” modulePython also has a robust set of test frameworks, making it an excellent language for test automation.frameworks such as pie test, behaveand robot Developers can create simple yet effective tests to ensure build quality.

Use Python for machine learning and data science

I have an interesting fact. Python is the language of choice for data science and research. Its syntax is easy to understand and adaptable, so people with little or no development experience can easily learn Python and use it to analyze data for research, reporting, predictive or regression analysis, and more. can be operated. Collecting and analyzing data can be a time-consuming task for a data scientist. Python is also one of the top languages ​​for training machine learning (ML) models. Through specific algorithms, these models can analyze and identify patterns in data and make predictions or decisions based on that data. It also constantly evolves and faces new variables based on the output of previous datasets. Data scientists and developers training ML models often rely on libraries such as: NumPy, pandaand Matplotlibto automate functions such as cleaning, data transformation, and visualization.

Using Python for financial analysis

and using Python for artificial intelligence

Python is also found in some of the most complex artificial intelligence (AI) technologies. In fact, Python is one of the preferred languages ​​for AI. Python’s clean, readable code enables developers to create consistent and reliable systems. Its vast library offers numerous frameworks such as: pie brain, providing developers with powerful algorithms for machine learning tasks. Additionally, Python’s visualization capabilities help transform these large datasets into easy-to-understand charts or reports for AI or ML. Interestingly, OpenAI, an artificial intelligence research institute, utilizes the Python framework. pie torchas a standard framework for deep learning to train AI systems.

Why is Python so popular? 🙌

• It’s more productive. Compared to other more complex programming languages ​​like C++, Python’s syntax allows users to do more with fewer resources, saving them time and effort writing the same lines of code. .

• It has a large and supportive user community. Even the best developers run into problems. This is where the user community becomes an invaluable resource. Python has a huge community with documentation, tutorials, tips and tricks for learning the language.of Python community on GitHubFor example, we provide everything from information about the latest versions of languages ​​to bug reports and update notes.

• Academic. Python has become the go-to language in academia, and some students even encounter it in elementary school. (Believe it or not, A children’s picture book dedicated to Python.) Computer Science students are often taught Python, but the use of Python extends beyond that field into STEM and other areas of academic research. For example, you can use Python to solve differential equations, perform statistical analysis, simulate and track particle diffusion, and more.

• High corporate demand. Learning and knowing Python is often considered a top skill among job seekers because of its broad applicability to development and data analysis work. According to StatistaPython was the 3rd most requested language by recruiters worldwide in 2022.

Conclusion

Python is everywhere and is used to build quite a few technologies, websites, and even systems that most people encounter on a daily basis. Power everything from your favorite video streaming service to the ML algorithms that power your next cryptocurrency trade. For an even broader example (pun intended absolutely), NASA uses Python to power data analysis on sophisticated James Webb Space Telescope, making it one of the few programming languages ​​that is literally otherworldly. 🚀

How to get started with Python 📓

To get started, Download the latest version of Python.

Start building now on GitHub

Start building today for free with GitHub codespace, every developer on GitHub gets 60 free hours per month to spin up a development environment in the cloud faster from any device.examine django Quick start template Start coding right in your browser!

You can also use GitHub co-pilot, AI Pair Programmers on GitHub, writing the first lines of Python. Method is as follows.

1. Install the GitHub Copilot extension to your code editor.
2. Please describe the purpose of the project in the comments.
3. Write a comment describing the required library.
4. As you start tabbing, GitHub Copilot will suggest lines of code to help you learn new techniques and methods.

From machine learning to data analytics, Python’s versatility allows for continued explosive growth for both developers and non-developers alike. Try Python on GitHub or on your local machine, be a part of this growth and get started today!