Anaconda Distribution is a full featured installer that comes with a suite of packages for data science, as well as Anaconda Navigator, a GUI application for working with conda environments.
Conda provides package, dependency, and environment management for any language. The following documentation site provides all you need to get started with leveraging the power of conda.
Conda is a powerful command line tool for package and environment management that runs on Windows, macOS, and Linux. This guide to getting started with conda goes over the basics of starting up and using conda to create environments and install packages.
Conda provides package, dependency, and environment management for any language. Here, you will find everything you need to get started using conda in your own projects.
This 20-minute guide to getting started with conda lets you try out the major features of conda. You should understand how conda works when you finish this guide.
Conda can no longer find your environment with the --name flag. You’ll generally need to pass the --prefix flag along with the environment’s full path to find the environment.
If you would like to learn more about how environments are structured, head over to conda environments. Below is a more precise overview of everything that happens during the installation process for a single package:
Conda treats Python the same as any other package, so it is easy to manage and update multiple installations. Conda supports Python 3.10, 3.11, 3.12, and 3.13.
