The Python Guide

Jul 14, 2026

Learn Python from scratch: a guided path through variables, data types, functions, classes, modules, files, and the tooling around the language.

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Python is one of the best first languages you can learn, and one of the most useful languages you’ll ever know.

It reads almost like English. It runs everywhere. And it dominates entire fields: data science, machine learning, automation, scripting, backend development.

I wrote a long series of Python tutorials covering the language from the ground up. The core of Python changes very slowly, so these fundamentals are solid ground. This page organizes the best of them into a learning path.

Where to start

Read these in order to get the foundation:

Introduction to Python explains what Python is and why it matters
The basics of working with Python covers variables and the core syntax
Python Data Types
Python Operators
Python Control Statements covers if and conditionals
Python Loops
Python Functions

If you’re on a Mac, Installing Python 3 on macOS gets you set up first.

Data structures

Python’s built-in collections are a big part of what makes it pleasant to use:

Python Strings
Python Lists are the workhorse you’ll use every day
Python Tuples
Python Dictionaries
Python Sets
Python List comprehensions for the idiomatic way to transform lists

Objects, classes, and beyond

Once the basics feel comfortable, these take you to intermediate territory:

Python Objects
Python Classes
Python Modules to organize code across files
Python Exceptions for error handling
Python Lambda Functions
Python Decorators is a classic “aha” topic. Worth the effort.

Practical Python

The everyday tasks you’ll reach for again and again:

Tooling

Two things every Python developer needs early:

Install third-party Python packages with pip
Python Virtual Environments keep dependencies isolated per project. Learn this before your first real project, not after.
The PEP8 Python style guide covers how Python code is expected to look

Go deeper

I collected the whole series, organized and expanded, in the free Python Handbook. You can download it as PDF or EPUB and work through it offline.

All posts on this topic are in the Python tag archive.

Tagged: Python · All topics

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