Install and configure Anaconda & JupyterLab Desktop for a smooth workflow. We cover common pitfalls on both Windows and Mac systems, recommended settings, and essential features to enhance your Python development experience.
Installing Anaconda
Download and Installation Steps:
– Download Anaconda from the Anaconda download page
– Skip the registration step if prompted
– Choose your operating system (Windows, macOS, or Linux)
– Run the installer
Important Installation Options:
– Creating shortcuts you need to run it later
– Adding Anaconda to PATH is not recommended by default
– Register Anaconda as the default Python 3.11 (recommended)
– Installation may take 5-15 minutes depending on your system
Installing Jupyter Lab Desktop
Setup Process:
– Visit the JupyterLab Desktop GitHub page to download the installer
– Download the appropriate version for your OS
– Run the installer
– Launch Jupyter Lab when prompted
Potential Installation Issues:
If you encounter environment-related issues:
– Click “Change Default Python Environment”
– Install the bundled environment if prompted
– Restart Jupyter Lab if necessary
Configuring Jupyter Lab
Recommended Settings:
– Theme selection (Light/Dark)
– Add ruler lines at 80 and 100 characters
– Choose Multi Document IDE mode for better tab management
– Enable table of contents for better navigation
Environment Management:
To install a new environment:
– Download the environment file (available here)
– Use command: conda env create --file lab_python_course_env.yml
– Ensure Jupyter Lab is listed in dependencies
– Installation time varies (20 seconds to 30 minutes)
Platform-Specific Notes
Windows:
– Terminal opens PowerShell by default (not Conda-enabled)
– Use Anaconda Prompt for environment installation
macOS:
– Dark theme activates by default
– May need to reset theme preference after restart
– Terminal supports Conda commands directly
Pro Tips
Efficient Workflow Features:
– Use separate console for debugging (keeps notebooks clean)
– Enable table of contents for better navigation
– Set default environment in settings
– Use Zen mode for distraction-free coding
Troubleshooting
Common issues to watch for:
– Environment not showing up (restart Jupyter Lab)
– Theme resetting (known bug)
– Installation taking longer than expected (normal)
– Missing packages (check environment file)
Need more Python development tips? Check out our YouTube channel for detailed tutorials and guides.