After self-studying Python for a year, going from zero knowledge to being able to write small projects, I have really encountered too many pitfalls! Today, I have compiled a super detailed guide to help you avoid detours and quickly get started with Python! Common pitfalls for beginners: 1. Blindly reading books without writing code. Understanding the code in books does not mean you can write it! You must practice coding, even if it’s just typing out the examples from the book; you will gain different insights! Suggestion: Start with simple exercises, such as printing “Hello World”, creating a calculator, or a number guessing game. 2. Getting stuck on versions, Python 2 or 3? Don’t get stuck! Just learn Python 3! Python 2 is no longer maintained, and the future belongs to Python 3! Suggestion: Install Python 3.8 or above for better compatibility and more powerful features. 3. Blindly pursuing advanced frameworks while ignoring the basics. Many people want to learn Django, web scraping, or data analysis right away, but they don’t even understand the basic syntax, which makes learning increasingly confusing! Suggestion: First, solidify your understanding of basic syntax (variables, loops, conditionals, functions), and then gradually expand to advanced applications. My learning resources: 1. Introductory courses: – Bilibili: Xiao Jia Yu’s “Zero Basics Introduction to Learning Python” – MOOC: Python from Beginner to Practice 2. Practice websites: – LeetCode (algorithm practice) – Codewars (fun programming challenges) 3. Useful tools: – PyCharm (a great tool for coding) – Jupyter Notebook (essential for data analysis) My learning insights: – Keep coding every day, even if it’s just for 10 minutes – Explore technical communities like GitHub and CSDN to see how others code – Don’t be afraid to make mistakes; the debugging process is part of your progress – After landing a job at a big tech company, I summarized these super practical experiences! If you’re self-studying programming, be sure to avoid pitfalls! As a successful programmer at a big tech company, I want to tell everyone: don’t learn programming blindly! Especially for self-learners, you must plan your learning path; otherwise, you will waste a lot of time. Mastering the following 4 points will greatly enhance your programming efficiency, and you’ll be able to use them without hesitation. Must-follow programming bloggers: Programming expert Lao Wang: Essential for practical programming learning, full of valuable content! Code Mengmeng: Beginner-friendly, with detailed explanations! Programming Lighthouse: Classic tutorials that are easy to understand, even for beginners! Algorithm veteran: Suitable for in-depth learning of algorithms to enhance professional skills! Books on programming thinking: “The Essence of Programming” “Code Complete” “Practical Python Programming Techniques” “The Beauty of Programming: Insights from Microsoft Technical Interviews” These books will help you establish a programming mindset, transforming you from a novice to an expert! Programming tutorial websites: Code-related: GitHub, GitLab, Gitee Tutorial-related: MOOC, NetEase Cloud Classroom, Coursera, Udemy With these websites, you’ll never run out of learning resources! Programming resource library: To excel in your craft, you must first sharpen your tools! I have compiled the resources I used while learning programming, including: Python/Java installation packages (various versions) Python introductory learning videos (just open and watch) Classic project case tutorials (thorough explanations, even beginners can learn) Collection of programming plugins (code formatting, code completion, debugging assistance, etc.) Various code template packages (ready to use) Little tip: Learning programming is a gradual process. Mastering the right methods and resources will greatly enhance your efficiency! I hope these experiences can help you in your programming journey!