If you're a data scientist, you might already know that conda is the go-to package manager for managing Python packages and their dependencies. Installing multiple packages from a requirements.txt file using conda can help you save time and energy, as it avoid having to manually add dependencies one by one. In this article, we'll explain the basics of installing multiple packages from a requirements.txt file using conda.
The first step is to install conda, which is a package manager for both Python and R, allowing you to manage all your packages in one place. You can install the latest version of conda from their official website.
Once you have installed conda, you'll need to create a requirements.txt file. This file will contain the list of packages you want to install. Each package is listed on its own line, and each line should start with the package name, followed by any additional parameters.
The next step is to activate your environment. This is done by running "conda activate
After the installation is complete, you can run the "conda list" command to see a list of all the packages that were installed. This list should match the packages you specified in your requirements.txt file.
See more about conda install requirements.txt
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