However, that does not mean you can not use it with conda. It is built to work with the pip package manager. There is a clear drawback of using the requirements.txt file. Hence, if you want to replicate the project in a new environment, you can reference this file to install the dependencies instead of manually tracking them down. This file keeps a list of modules and packages required in a given project. The requirements.txt is a simple text file that allows you to keep track of the Python modules installed and enabled in a given environment. It also enables you to create and manage virtual environments with simple commands. Conda is a powerful command-line utility that allows you to download, install, update, and uninstall packages. The Anaconda distribution comes with the conda package manager. It comes with a command-line interface for terminal nerds and the Anaconda navigator, allowing you to manage environments and packages with a GUI interface.Īs a result, it is a favored Python platform for anyone who wishes to quickly set up a full-fledged Python environment without installing the packages manually.
The Anaconda distribution is also free and very user-friendly. This is because it offers a collection of over 800 packages installed and curated to work correctly out of the box.
It is a popular tool for data science and machine learning developers. The Anaconda Distribution, commonly known as Anaconda, is one of the most renowned Python distribution platforms.
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