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What is the pip installation command?

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Release: 2023-12-19 10:58:02
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The pip installation command is "pip install ". pip is Python's package management tool, used to install, manage and uninstall Python packages. You can use pip to easily install, manage and uninstall Python. Packages that enable users to better organize and develop Python projects.

What is the pip installation command?

# Operating system for this tutorial: Windows 10 system, Dell G3 computer.

pip is Python's package management tool, used to install, manage and uninstall Python packages. The following are the common commands and usage of pip:

  1. Installation package: Use the pip install command to install the Python package. For example, to install a package named requests, you can execute the following command:
pip install requests
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  1. Upgrade package: Use the pip install --upgrade command to upgrade the installed package. For example, to upgrade the requests package, you can execute the following command:
pip install --upgrade requests
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  1. Uninstall the package: Use the pip uninstall command to uninstall the installed package. For example, to uninstall the requests package, you can execute the following command:
pip uninstall requests
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  1. Display installed packages: Use the pip list command to list all installed Python packages and their versions.
pip list
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  1. Export and install dependencies: Use the pip freeze command to export the current environment's packages and their versions to a text file, usually called "requirements.txt". The same dependencies can then be installed based on that file using the pip install -r command. For example:
pip freeze > requirements.txt
pip install -r requirements.txt
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  1. Search for packages: Use the pip search command to search for packages on PyPI (Python Package Index). For example, to search for a package named numpy, you can execute the following command:
pip search numpy
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The above are some common commands and usage of pip. You can easily install, manage and uninstall Python packages using pip, allowing you to better organize and develop Python projects.

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