Starting Python in 2024: A Complete Resource-Packed Guide for Beginners 🐍

If I had access to this roadmap and resources three years ago, my Python journey would have been so much faster. Now, I'm sharing these insights to help you become a Python pro.

What is Python? 🤔

Python is a high-level programming language known for its simplicity and readability, making it ideal for beginners.

Since its creation, Python has become popular among developers, data scientists, and researchers due to its versatility and ease of use. Here's an example that shows Python’s simplicity compared to Java:

Python:

print("Hello, world.")

Java:

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

Why learn python? 💻

• Popularity

  

• Open Source: Python is free to use, and its source code can be modified and distributed.

• Extendable: Python can be extended with modules written in other languages like C++.

• Broad Standard Library: Python’s extensive standard library provides modules and functions to simplify everyday programming tasks.

Common Uses of Python

Python's versatility is one of its strongest suits. Here are some of the key areas where Python shines:

1. Web Development: Frameworks like Django and Flask make it easy to build robust web applications. 🌐

2. Data Science and Machine Learning: Libraries such as Pandas, NumPy, and Scikit-learn are essential tools for data analysis and machine learning. 📊

3. Automation: Python can automate repetitive tasks, making your workflow more efficient. 🛠️

4. Game Development: Libraries like Pygame allow for the creation of simple games. 🎮

5. Scripting: Python is often used for writing scripts to automate boring tasks. 📝

Learning Resources

I list down some free resources that you can learn from and gain practical skills.

1. Books: "Automate the Boring Stuff with Python" and "Python Crash Course" are excellent starting points. 📖

2. Interactive Platforms: Websites like HackerRank and LeetCode provide hands-on coding practice. 💻

3. YouTube Channels: FreeCodeCamp and Corey Schafer have excellent Python tutorials. 📺

   • Python cheetsheet 👇🏻.

   • Learn django from here 👇🏻.

   • Very helpful in understanding oops concept visualize python code.

   • Learn from github repositories learn-python python-for-beginners.

Step-Wise Learning

Here's a step-by-step guide to mastering Python:

1. Learn the Basics: Start with basic syntax, data types, and control structures. 📝

   • Follow this roadmap.

2. Practice with Small Projects: Build simple programs like a calculator or a to-do list app. 🛠️

   • List of projects.

3. Understand OOP: Learn about object-oriented programming concepts. 🏗️

   • Telusko.

   • In hindi you can refer here.

4. Explore Libraries: Dive into popular libraries relevant to your interests (e.g., Pandas for data science). 📚

   • You can read this blog to explore more.

5. Build Real Projects: Create more complex projects to apply what you've learned. 🌟

   • Roam here you'll get some idea.

   • I would recommend to brainstorm and find ideas which aligns your skillset.

6. Contribute to Open Source: Join open-source projects to gain real-world experience. 🤝

   • Additionally, if you reach till here learn these topic make you good python programmer dunder-methods, Pip, Async io, decorators, generators, Context managers , meta-classes, concurrency and parallelism, testing build and manipulate module.

Open Source Repositories to Contribute To

Contributing to open source is a great way to improve your skills and give back to the community. Here are some Python projects you can consider:

1. Contribute to various python libraries Awesome-for-beginners.

2. Here you can find the current trend and contribute /trending-python.

Community support 🔨⚒

1. Roam in these subreddits - learnpython and Python.

2. Join local communities in your region pycon.

3. Join various github discussions section.

Happy coding! 🐍💻