Use conda for your Python packages and your operating system’s package manager for applications (web browsers, text editors, etc.).* You likely have a package manager for your operating system, such as Homebrew, apt-get, or yum. The instructions below describe how to install Miniforge, which is conda-forge without the Anaconda default channel. Until recently, the (relatively) hard part had been to ensure that you’re using conda-forge, rather than an Anaconda default channel. The software in conda-forge are not subject to Anaconda’s licensing restrictions, and the conda package manager is free software, so both can be used without any legal restrictions in national labs and universities. Within a conda environment, you can still use pip to install packages that are not in this channel, thereby getting access to everything in the Python Package Index (PyPI), and everything in the conda environment is kept isolated from all other Python environments, so that you don’t disturb any applications that rely on a version of Python that ships with your operating system. pip install fails with an error or you get an ImportError/ ModuleNotFoundError after you think you’ve installed it-then this page is for you.Ĭonda-forge is a “channel” for the conda package manager containing the Scientific Python ecosystem, Scikit-HEP, and even ROOT with carefully aligned package versions to ensure that you get a consistent, working system.

If, for instance, you’re having trouble installing Scikit-HEP packages-e.g. This page is for everyone, but especially newcomers to Python or package management. Also, we describe how to replace conda with mamba because it is the fastest way to install packages into that environment. For a newcomer, conda-forge is usually the simplest and most reliable way to get started, so we describe that. Scikit-HEP supports users of the two major systems: (a) pip with virtual environments and (b) conda-forge. Many ways to install Python and Python packages have been developed over the years, and not all of them are compatible with each other. Installing conda Avoiding the spaghetti installation

Conda install