
Installing conda — conda 25.11.1.dev16 documentation
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 Documentation — conda-docs documentation
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 …
Getting started with conda — conda 25.11.1.dev11 documentation
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 …
Installing on Windows — conda 25.11.1.dev16 documentation
Updating conda # Open Command Prompt or PowerShell from the start menu. Run condaupdateconda.
Getting started with conda — conda 4.11.0.post3+0050c5148 …
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.
Managing environments — conda 25.11.1.dev16 documentation
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.
User guide — conda 25.11.1.dev18 documentation
Follow these instructions to get a working installation of conda on your computer
Installing with conda — conda 25.11.1.dev9 documentation
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 …
Commands — conda 25.11.1.dev15 documentation
Commands # Conda provides many commands for managing packages and environments. The links on this page provide help for each command. You can also access help from the …
Managing packages — conda 25.11.1.dev16 documentation
It is possible to have pip installed outside a conda environment or inside a conda environment. To gain the benefits of conda integration, be sure to install pip inside the currently active conda …