Best Python IDEs – Part 2: VS Code vs. JupyterLab vs. Anaconda Cloud


In the previous post we narrowed down the selection from 13 IDEs to 3. Let’s dive deep into our final three Python IDE contenders: JupyterLab Desktop, Anaconda Cloud, and VS Code. We’ll examine their unique features to help you choose the best one for your needs.

JupyterLab Desktop

JupyterLab Desktop stands out with several powerful features:

Key Features:
– Intuitive launcher for creating new notebooks, consoles, and terminals
– Built-in plot zooming functionality that works out of the box
– Ability to create new views for cell output (useful for keeping plots visible)
– Easy drag-and-drop functionality for copying cells between notebooks
– Visual indicators for modified cells (orange for unsaved changes)
– Separate console feature for debugging without cluttering your main notebook

Environment Management:
– Quick environment switching from the top-right menu
– Easy access to environment settings
– Support for Conda environment installation via terminal
– Ability to set default environments

Anaconda Cloud

Advantages:
– Online version of JupyterLab – no installation required
– Pre-installed environments available
– Built-in Anaconda Assistant for AI support
– Similar interface to JupyterLab Desktop
– Strong privacy focus – data collection disabled by default

Limitations:
– 5GB storage limit (one environment uses about 80%)
– Some features like plot widgets may require additional setup
– Limited environment customization options
– Free version has usage limits (30 AI responses per day)

VS Code

Unique Features:
– Platform independent (Windows, macOS, Linux)
– Hybrid Python files with cell execution capability
– Built-in variable explorer
– Table of contents navigation
– Support for multiple programming languages

Considerations:
– Less intuitive folder management
– More complex configuration through JSON files
– Additional features that may not be needed for Python-only development
– Missing some JupyterLab features like persistent plot views

Final Recommendation

For beginners, our recommendation depends on your situation:

Choose JupyterLab Desktop if:
– You want the most user-friendly local installation
– You need reliable plot interaction features
– You prefer a clean, focused interface

Choose Anaconda Cloud if:
– You can’t install software locally
– You want built-in AI assistance
– You need access from multiple devices

Choose VS Code if:
– You’re already familiar with VS Code
– You work with multiple programming languages
– You need hybrid Python files for both notebook and script usage


This article is part of our comprehensive guide to Python IDEs. Check out Training Scientists for more detailed insights and video tutorials.

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