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Want fast access to Python and the conda commands and you wish to sort out the other programs later. Choosing a version of Anaconda or Miniconda Whether you use Anaconda or Miniconda, select the most recent version. Select an older version from the archive only if you are testing or need an older version for a specific purpose.
To install, run the following command, depending on your Linux architecture: Linux x86. # Include the bash command even if you aren't using the Bash shell # Replace ~/Downloads with the path to the installer file, if necessary # Replace <INSTALLER_VERSION> with the version of the installer file # For example, Anaconda3-2023.09-0-Linux-x86_64.sh.
Download the installer: Miniconda installer for Windows. Anaconda Distribution installer for Windows. Miniforge installer for Windows. Verify your installer hashes. Double-click the .exe file. Follow the instructions on the screen. If you are unsure about any setting, accept the defaults. You can change them later.
Choose whether to add Anaconda to your PATH environment variable or register Anaconda as your default Python. We don’t recommend adding Anaconda to your PATH environment variable, since this can interfere with other software. Unless you plan on installing and running multiple versions of Anaconda or multiple versions of Python, accept the ...
Choose whether to add Anaconda to your PATH environment variable or register Anaconda as your default Python. We don’t recommend adding Anaconda to your PATH environment variable, since this can interfere with other software. Unless you plan on installing and running multiple versions of Anaconda or multiple versions of Python, accept the ...
A command line interface (or CLI) is a program on your computer that processes text commands to do various tasks. Conda is a CLI program, which means it can only be used via the command line. On Windows computers, Anaconda recommends that you use the Anaconda Prompt CLI to work with conda. MacOS and Linux users can use their built-in command ...
Scikit Image. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library with C++, Java, Python, and MATLAB interfaces. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.
