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🌱 Beginner

Python IDE Setup – Choose and Configure Your Code Editor

Once Python is installed, you need a place to write your code. A good code editor (IDE) makes the difference between a frustrating and a productive experience. This lesson walks you through setting up the best Python environments and configuring them properly.

⏱️ 15 min read 🎯 Beginner 📅 Updated 2026

VS Code – The Recommended Choice

Visual Studio Code is the most popular Python editor worldwide. It is free, fast, open source, and has an excellent Python extension maintained by Microsoft. Features: syntax highlighting, IntelliSense autocomplete, integrated terminal, debugger, Jupyter support, Git integration.

Python
# After installing VS Code and the Python extension:
# 1. Open a folder: File → Open Folder
# 2. Create a new file: hello.py
# 3. Type your code:
print("Hello from VS Code!")
# 4. Press Ctrl+F5 to run (no debug)
# 5. Output appears in the integrated terminal

PyCharm – Best for Professional Python

PyCharm Community Edition is a free, full-featured Python IDE. Better refactoring tools, more intelligent autocomplete, and built-in virtual environment management compared to VS Code. Heavier on memory (~400MB). Ideal if you plan to work on large Python projects exclusively.

💡
Tip

PyCharm Professional (paid) adds Django support, database tools, and scientific mode. The Community edition is sufficient for most learners.

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Jupyter Notebook – Best for Data Science

Jupyter Notebook lets you mix code, output, and text in a single document. Ideal for data analysis and machine learning experiments. Install with: pip install jupyter. Launch with: jupyter notebook in your terminal.

Python
# Install and launch Jupyter
# In terminal:
# pip install jupyter
# jupyter notebook

# Each "cell" runs independently:
x = 10
y = 20
print(x + y)   # Shows output directly below the cell
▶ Output
30

Running Python from Terminal

No matter which editor you use, knowing how to run Python from the terminal is essential. Create a .py file, then run it from the directory containing the file.

Python
# Create file: my_script.py
name = input("Enter your name: ")
print(f"Hello, {name}!")

# Run from terminal:
# python my_script.py        (Windows)
# python3 my_script.py       (macOS/Linux)
▶ Output
Enter your name: Alice Hello, Alice!

Virtual Environments – Why and How

Virtual environments isolate project dependencies so different projects don't conflict. Always create one before installing packages for a real project.

Python
# Create a virtual environment
python -m venv myenv

# Activate it:
# Windows: myenv\Scripts\activate
# macOS/Linux: source myenv/bin/activate

# Install packages (only affects this env)
pip install requests pandas

# Deactivate when done
# deactivate
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