📦 Conda Package Manager: Automated Dependency Tracking

The Conda Package Manager automates the management of Python packages in Conda environments by tracking installed dependencies, detecting new imports, and synchronizing the environment.

🚀 Features

• Automatic Dependency Detection: Extracts package imports from `.py` files.
• Environment Synchronization: Installs missing packages and removes redundant ones.
• Conda Hooks Integration: Runs automatically on environment activation/deactivation.
• Logging System: Tracks changes in package installations and removals.
• Customizable Behavior: Users can enable or disable automatic syncing.

🛠 Technologies Used

• Programming Language: Bash (Shell Scripting)
• Environment Management: Conda
• Version Control: GitHub

💡 Skills & Competencies Gained

• Shell Scripting: Automating package management using Bash.
• Dependency Management: Handling Python environments dynamically.
• Conda Hooks: Integrating scripts into Conda environment lifecycle.
• Process Automation: Ensuring seamless updates without manual intervention.
• Logging & Debugging: Tracking package changes to avoid conflicts.

⚡ Challenges & Solutions

• Handling Edge Cases: Ensured support for different Python versions and Conda environments.
• Performance Optimization: Used efficient text processing commands (`grep`, `awk`, `comm`).
• Package Conflicts: Implemented checks to prevent unintended uninstallations.

📅 Future Enhancements

• 🔹 Add GUI support for visualizing package changes.
• 🔹 Expand to pip & poetry support beyond Conda.
• 🔹 Integrate GitHub Actions for automated CI/CD testing.

🔗 GitHub Repository

Check out the source code and full documentation on GitHub.