Python IDEs and Tools

Introduction

Choosing the right IDE and configuring your development environment properly is crucial for productivity.

Popular IDEs

IDE	Best For	Cost	Features
VS Code	General, lightweight	Free	Extensions, Git, terminal
PyCharm	Professional Python	Free/Paid	Intelligent refactoring, debugger
Jupyter Notebook	Data Science, ML	Free	Interactive cells, inline plots
Spyder	Scientific computing	Free	Variable explorer
Thonny	Absolute beginners	Free	Simple, step-by-step debugger

VS Code Setup

Essential Extensions

Python (by Microsoft) — IntelliSense, linting, debugging
Pylance — Fast language support
Python Indent — Correct auto-indentation
autoDocstring — Auto-generate docstrings

Settings

{
    "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
    "editor.formatOnSave": true,
    "[python]": {
        "editor.defaultFormatter": "ms-python.black-formatter",
        "editor.formatOnSave": true
    },
    "python.linting.enabled": true,
    "editor.tabSize": 4
}

Virtual Environments

# Create virtual environment
python3 -m venv .venv

# Activate
source .venv/bin/activate     # Linux/macOS
.venv\Scripts\activate        # Windows

# Deactivate
deactivate

Why It Matters

A proper development setup saves time, prevents errors, and ensures code quality.

Common Mistakes

Installing packages globally instead of in a virtual environment
Not configuring the correct Python interpreter in VS Code
Ignoring linting warnings

Practice Exercises

Set up VS Code with Python extensions and auto-formatting with Black.
Create a virtual environment, install a package, and verify isolation.
Configure a debug configuration in VS Code for a Python script.