![]() ![]() ![]() pkg) and hash checking instructions, see Installing Miniconda. Conda env will export or create environments based on a file with conda and pip. Pip accepts a list of Python packages with -r or -requirements. Package requirements can be passed to conda via the -file argument. Store conda and pip requirements in text files. These quick command line instructions will get you set up quickly with the latest Miniconda installer. To install additional conda packages, it is best to recreate the environment. Anaconda Distribution is available for Windows, macOS, and Linux. Conda and pip are often considered as being nearly identical. ![]() Anaconda Distribution includes the anaconda package, Anaconda Navigator, and the conda package and environment manager. Take advantage of Anaconda’s extensive open-source package distribution and easy environment management. For an archive of Miniconda versions, see. Anaconda Distribution provides the option to easily install an additional 7,500+ open-source packages for data science, including advanced and scientific analytics. Easily launch AI and data science projects on your local machine with Anaconda Navigator. For installers for older versions of Python, see Other installer links. This list of installers is for the latest release of Python: 3.11.5. The following instructions are for Miniconda. A list of installed packages appears if it has been installed correctly. Miniconda allows you to create a minimal, self-contained Python installation compared to Anaconda and use the Conda package manager to install additional. In your terminal window or Anaconda Prompt, run the command conda list. from the Start menu, open the Anaconda Prompt. Latest Miniconda installer links by Python version The Anaconda metapackage has no actual content, but lists all of the AD Python packages as prerequisites so they all get installed when you install Anaconda. Installing on Windows Download the installer. ![]()
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