
This series introduces Python from the ground up – variables, functions, control flow, modules, and the rest. If you are new to programming or just new to Python, start here.
I’ve been writing code for decades, long enough to remember when languages felt deliberately awkward. Python is the opposite: readable, practical, and still capable enough for serious work.
Why Python? It turns up everywhere – web development, data analysis, automation, scripting, AI. It reads almost like English, which helps when you are learning. You do not need to memorise obscure syntax before you can do something useful.
We’ll work through the basics in order, with examples you can run yourself. Whether you want to automate boring tasks, crunch data, or build a web app, the same foundations apply.
These are tutorials, not lectures. I’ll share what works in practice, including the bits that tripped me up along the way.
20 tutorials in this topic
- Python Basics: Setting Up Your Development Environment
- Hello, Python! Writing Your First Python Program
- Variables and Data Types in Python: The Fundamentals
- Control the Flow: Understanding If-Else and Loops in Python
- Functions in Python: Reusing Code Effectively
- Lists and Tuples: Organizing Data in Python
- Dictionaries and Sets: Python’s Powerful Collections
- String Manipulation: Playing with Text in Python
- Error Handling in Python: Managing the Unexpected
- File Handling in Python: Reading and Writing Files
- Modules and Packages: Expanding Your Python Toolbox
- Virtual Environments: Keeping Your Projects Organized and Secure
- Understanding Object-Oriented Programming in Python
- Decorators and Generators: Advanced Python Features
- Regular Expressions in Python: Pattern Matching Made Easy
- Working with Databases: Python and SQL
- Web Scraping with Python: Gathering Data from the Internet
- Python and APIs: Interacting with Web Services
- Data Analysis Basics with Python’s Pandas Library
- Building a Simple Web Application with Flask
