The Ultimate Python Tutorial (Keep Updating)
Mastering Python takes time, patience, and a commitment to excellence.
Elegant, convenient, beginner-friendly, …
There are many words that can describe Python. But I would say:
Python is easy to learn but hard to master.
This is why I write in-depth Python tutorials on Medium based on my years of front-line experience.
This post is a navigator of all my Python articles. It will keep updating and evolving just like Python itself.
If you have any interesting topics or questions about Python, feel free to leave your comments and connect with me:
Table of Contents
· 🏆 Best of the Best · 🔄 Better Control Flow Statements in Python · 🧰 Dive into Built-in Methods · 🧩 Functional Programming · 🧬 Object-Oriented Programming · 🎩 How To Write Elegant Python Code · 🕒 Benchmarking · 🧠 Core Concepts · 🚀 Make Python Faster · 🐞 Debugging · 📚 Advanced Topics · 🌐 Web Development · 🧐 Testing · 🔍 Data Structures & Algorithms ∘ Sort algorithms ∘ Built-in data structures ∘ General algorithms · 🔡 String Handling · 🤖 Automation · ✨ Fancy Punctuations · 💻 Python on Command-Line Interface · 📊 Data Science · 🛠️ Tools ∘ Essentials tools ∘ Third-party tools · 🎉 Jun for Fun
🏆 Best of the Best
- 9 Fabulous Python Tricks That Make Your Code More Elegant
- 19 Sweet Python Syntax Sugar for Improving Your Coding Experience
- 10 Remarkable Python OOP Tips That Will Optimize Your Code Significantly
- 10 Python Interview Questions for Senior Developers
- 11 Python Tricks To Show Off Your Advanced Skills
🔄 Better Control Flow Statements in Python
- The Art of Writing Loops in Python
- 5 Ways To Break Out of Nested Loops in Python
- For-Else: A Weird but Useful Feature in Python
🧰 Dive into Built-in Methods
- 9 Python Built-In Decorators That Optimize Your Code Significantly
- 7 Uses of Python Functools That Make Your Code More Professional
- 7 Levels of Using the Zip Function in Python
- 10 Python Itertools To Make Your Code Neater, Cleaner, and Better
- The Eval Function in Python: A Powerful but Dangerous Weapon
- 4 Functions That Make Reading Python Code Easier
- 3 Ways to Explore a Python Object
- 3 Built-In Infinite Iterators in Python
🧩 Functional Programming
- Higher Order Functions in Python
- 8 Levels of Using List Comprehension in Python
- The 4 Types of Comprehensions in Python
- 5 Levels of Understanding Closures in Python
- 7 Levels of Using Decorators in Python
- 5 Uses of Lambda Functions in Python
🧬 Object-Oriented Programming
- Class Attribute and Instance Attribute in Python
- Class Method and Static Method in Python
- Constructors in Python Classes
- Abstract Classes in Python
- The Property Decorator of Python Classes
- 3 Levels of Understanding the Singleton Pattern in Python
🎩 How To Write Elegant Python Code
- 5 Python Slicing Tricks That Will Make Your Code More Elegant
- Mind the Default Arguments in Python Functions
- 5 Best Practices of Destructuring Assignments in Python
🕒 Benchmarking
- 5 Ways To Calculate the Execution Time of Your Python Programs
- 5 Built-In Timers in Python: Differences and Usages
🧠 Core Concepts
- Iterable and Iterator in Python
- Generators in Python
- 5 Levels of Understanding the Mutability of Python Objects
- Master Python Scope by the LEGB Rule
- Randomness in Python: A Comprehensive Guide
- 5 Levels of Generating Weighted Random Numbers in Python
- 3 Key Skills for Handling Modules in Python
🚀 Make Python Faster
- Speed Up Your Python Programs with Rust
- 3 Facts of the Integer Caching in Python
- String Interning in Python: A Hidden Gem That Makes Your Code Faster
🐞 Debugging
- Make Your Python Program Bug-Free: 8 Essential Tips
- Exceptions Handling in Python
- Six Debugging Techniques for Python Programmers
📚 Advanced Topics
- 8 Levels of Using Type Hints in Python
- 5 Levels of Using Context Managers in Python
- Memory Management in Python: 3 Popular Interview Questions
- Regular Express in Python
- 9 Practical Examples of Using Regular Expressions in Python
- File Handling in Python
- File and Directory Management in Python: 10 Essential Operations
- Shallow Copy and Deep Copy
- Pickle in Python
- StringIO in Python
- 4 Facts To Know Before You Use Boolean Operators in Python
- 5 Levels of Handling Date and Time in Python
🌐 Web Development
- Backend Architecture of A Python Web Application
- What is WSGI? A Readable Explanation for Python Developers
- How To Setup a Simple Web Server in Python
🧐 Testing
🔍 Data Structures & Algorithms
Sort algorithms
- Mastering Radix Sort in Python: A Visual Guide
- A Deep Dive into Heap and Heap Sort in Python: From Beginner to Expert
Built-in data structures
- 5 Levels of Using deque in Python — Explaining with Real Interview Questions
- 5 Levels of Using Sets in Python
- 8 Stunning Python Dictionary Tricks That Make Your Code Elegant
- 3 Ways To Create a Dictionary in Python
- 7 Ways To Merge Dictionaries in Python
- 3 Variants of Python Dictionaries That Make Your Coding Easier
- 5 Ways To Merge Lists in Python
- 7 Advanced Python List Operations That Can Effectively Optimise Your Code
General algorithms
- Finding Prime Factors of an Integer in Python
- Tail Recursion and Tail Call Optimization
- Algorithms for Interview 1: Stack
- Algorithms for Interview 2: Monotonic Stack
🔡 String Handling
- 7 Levels of Using F-Strings in Python
- 9 Python String Manipulation Tricks That Make Your Coding Easier
- 4 String Formatting Techniques in Python — Feel the Evolution
- 5 Ways To Remove Spaces of a Python String
- 3 Ways To Search Substrings of Python Strings
- 5 Ways To Convert Python Integers into Binary Strings
🤖 Automation
- 9 Time-Saving Python Scripts To AutomateYour Daily Life
- Email Automation in Python: Sending These 3 Types of Emails Effortlessly
- Server Automation in Python: Unleash Your Productivity
✨ Fancy Punctuations
- 3 Uses of the Ellipsis in Python
- 5 Uses of Asterisks in Python
- 4 Usage Scenarios of Underscores in Python
💻 Python on Command-Line Interface
- 7 Levels of Building Command-Line Interfaces in Python
- 8 Advanced Python CLI Tricks To Save You From Writing Code
📊 Data Science
- 10 Pandas Functions That Help You Understand a Dataset Completely
- 9 IPython Magic Commands That Make Your Programming Easier
