Python Scripting: A Beginner’s Guide

First things first, let’s get real here. Learning how to learn is the most important skill when it comes to computer programming. Why? Because languages evolve, libraries are created, and tools are upgraded. Knowing how to learn will help you keep up with these changes and become a successful programmer.

2. Consistency is key! Make sure you code every day for at least 25 minutes (you can work your way up from there). This will really help develop muscle memory, which plays a large part in programming.

3. Take notes by hand when learning new concepts. Research suggests that this method helps with long-term retention, especially during interviews where you may be asked to write code on a whiteboard.

4. Use the interactive Python shell (also called a “Python REPL”) to learn about basic data structures and operations. This will also help when debugging your programs.

5. Take breaks! When learning or debugging, it’s important to step away and absorb the concepts. The Pomodoro Technique is widely used and can help: work for 25 minutes, take a short break, and then repeat the process. Fresh eyes make a big difference when debugging.

6. Surround yourself with other Python learners! This will allow you to share tips and tricks that you’ve learned along the way. Don’t worry if you don’t know anyone there are plenty of ways to meet others who are passionate about learning Python, such as local events or Meetups.

7. Teach what you’ve learned! This will solidify your understanding and expose any gaps in your knowledge. You can do this by whiteboarding with other Python lovers, writing blog posts explaining newly learned concepts, recording videos to explain something you’ve learned, or simply talking to yourself at your computer.

8. Pair programming is a technique that involves two developers working together on one workstation to complete a task. This can help you learn from someone else’s thinking and problem-solving skills.

9. Ask “GOOD” questions! When asking for help, make sure to give context on what you are trying to do, outline the things you have already tried, offer your best guess as to what the problem might be, demo what is happening (including code, traceback error messages, and steps executed), and explain why you’re having trouble.

10. Build something! Start with small exercises to build confidence and muscle memory, then move on to building more complex projects once you have a solid grasp of basic data structures, object-oriented programming, and writing classes. There are many lists out there with ideas for beginner Python projects find one that interests you and get started!

11. Contribute to open source! This can help you learn best practices for Python programming and practice communicating with other developers. Submit a bugfix request or contribute in another way, then watch as project managers review your work and provide comments and suggestions.

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