Python Tutorials

Choosing the Best Python IDE: VS Code, PyCharm & Jupyter

5 min read

You have successfully installed the Python interpreter on your computer. Now, where do you actually type your code?

While you could write Python in a basic text editor like Windows Notepad or macOS TextEdit, doing so would be incredibly frustrating. Professional developers use an Integrated Development Environment (IDE) or an advanced Code Editor. Think of these tools like Microsoft Word for programmers—they provide spell-checking (syntax highlighting), auto-complete, error detection, and built-in tools to run your code instantly.

In this guide, we will explore the three most popular environments for Python developers and show you how to set them up.

Prerequisites

Before setting up your editor, you must ensure:

  • Python is already installed on your computer (refer to the previous chapter).
  • You know whether your computer is running Windows, macOS, or Linux.
  • You have a stable internet connection to download the editor software.

Step-by-Step Installation & Setup Guide

Every developer has a personal preference, but Visual Studio Code (VS Code), PyCharm, and Jupyter Notebooks dominate the Python ecosystem. Here is how to set up each one.

1. Visual Studio Code (The Best All-Rounder)

VS Code is a free, open-source editor created by Microsoft. It is currently the most popular code editor in the world. It is incredibly fast, lightweight, and supports almost every programming language via extensions. (Highly Recommended for Beginners)

  1. Download: Navigate to code.visualstudio.com and download the installer for your OS (Windows, macOS, or Linux).
  2. Install: Run the installer. On Windows, ensure you check the boxes for “Add to PATH” and “Add ‘Open with Code’ action to Windows Explorer” for convenience.
  3. Open VS Code: Launch the application. [Insert Screenshot of the VS Code Welcome Screen]
  4. Install the Python Extension: * Click the Extensions icon on the left sidebar (it looks like four blocks, with one flying away).
    • In the search bar, type Python.
    • Find the official extension published by Microsoft and click Install.

2. PyCharm (The Heavyweight Python Specialist)

PyCharm is developed by JetBrains. Unlike VS Code, which is a general text editor, PyCharm is a dedicated IDE built specifically and exclusively for Python. It is powerful out-of-the-box but can feel overwhelming and resource-heavy for absolute beginners.

  1. Download: Go to jetbrains.com/pycharm/download.
  2. Choose Your Edition: You will see two options. Download the Community Edition—it is completely free and has everything a beginner needs.
  3. Install: Run the downloaded installer (.exe, .dmg, or .tar.gz) and follow the standard installation prompts for your operating system.
  4. Launch: Open PyCharm. It will automatically detect your installed Python interpreter and set up your initial environment.

3. Jupyter Notebooks (The Data Science Standard)

Jupyter Notebooks are entirely different. Instead of a standalone app, they run inside your web browser. They allow you to write code in small “cells” and see the output immediately below the cell. This makes them the undisputed industry standard for Data Science, Machine Learning, and data visualization.

  1. Open your Terminal/Command Prompt: * Windows: Search for cmd.
    • macOS/Linux: Open the Terminal app.
  2. Install via pip: Type the following command and press Enter. This uses Python’s built-in package manager to download Jupyter.
    • Windows/Mac/Linux: pip install notebook (Use pip3 install notebook if you are on Mac/Linux and the first command fails).
  3. Launch Jupyter: Once installed, simply type jupyter notebook in your terminal and press Enter.
  4. Start Coding: A new tab will automatically open in your default web browser displaying the Jupyter interface! [Insert Screenshot of a Jupyter Notebook interface]

Verifying the Setup

Let’s test our newly installed editor (using VS Code as our example) to ensure it is communicating perfectly with Python.

  1. Open VS Code.
  2. Go to File > New Text File.
  3. Save the file immediately as test_editor.py (the .py extension tells VS Code this is a Python file).
  4. Type the following code:
# Define a variable holding a welcome message
ide_status_message = "My code editor is working perfectly!"

# Print the message to the console
print(ide_status_message)

# Expected Output:
# My code editor is working perfectly!
Code language: PHP (php)
  1. Run the Code: Click the small “Play” button (▶) in the top right corner of the VS Code window. A terminal panel will pop up at the bottom of the screen displaying your output!

Common Errors & Troubleshooting

  • Error: “Python is not installed” or “Select Interpreter” prompt (VS Code)
    • The Fix: VS Code needs to know where Python lives on your computer. Press Ctrl + Shift + P (or Cmd + Shift + P on Mac) to open the Command Palette. Type Python: Select Interpreter and choose the Python version you installed in the previous chapter.
  • Error: pip is not recognized as an internal or external command (When installing Jupyter)
    • The Fix: This means Python was not added to your system’s PATH during installation. You must reinstall Python (refer to the previous chapter) and ensure the “Add Python to PATH” box is checked.
  • Issue: My PyCharm is running very slowly.
    • The Fix: PyCharm creates a “virtual environment” and indexes files for every new project, which takes a lot of RAM. If you have an older computer, VS Code is a much lighter and faster alternative.

Summary

  • An IDE or Code Editor is essential software that provides tools like auto-complete, error checking, and code execution.
  • VS Code is the best all-around choice for beginners due to its speed, massive extension library, and straightforward interface.
  • PyCharm is a powerful, Python-specific environment that requires zero configuration but can be heavy on computer resources.
  • Jupyter Notebooks run in your browser and are the ultimate tool for Data Science and interactive coding.
  • Always make sure you install the Python Extension if you choose to use VS Code!

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