Conda or Mamba commands – 19 useful commands

These Conda and Mamba commands allow you to efficiently manage Python environments and packages, ensuring a smooth workflow for development, experimentation, and reproducibility. Here’s what these commands empower you to do:​

• Create fully isolated Python environments for different projects, avoiding package and dependency conflicts.​
• Quickly install, remove, and update individual packages or entire sets of dependencies with just a single command.​
• Effortlessly switch between multiple project environments with activation and deactivation commands.​
• Keep your work organized by listing, exporting, and removing environments as needed.​
• Share environment specifications for perfect reproducibility by exporting and importing environment files in YAML, TXT, or JSON formats.​
• Clean up disk space by removing cached or unnecessary files left over from package installations.​
• Search for available packages and check the status of installed packages in any environment.​

Streamlining these tasks helps to reduce “dependency hell,” making scientific development, machine learning, and software projects more reliable and collaborative.

Comparison between Mamba specification files

• YAML/YML format is the most complete and widely compatible with conda/mamba; not directly usable by pip but can list pip dependencies.
• requirements.txt is the only format natively compatible with pip, but lacks the richness of conda/mamba features such as channel information.
• JSON is mainly for programmatic use and not typically recommended for beginners or collaborative reproduction.​
• For pip-only workflows, use requirements.txt. For full Python environment reproducibility, YAML is best.