If we preview the file, it looks like this: If you want to install many packages at once, you can save them one package per line in a text file called requirements.txt. Installing Packages With requirements.txt You can also upgrade multiple packages in one line of code. Here we are installing both scikit-learn and the statsmodel package in one line of code. To pip install more than one Python package, the packages can be listed in line with the same pip install command as long as they are separated with spaces.
Installing and Upgrading the scikit-learn and statsmodel Package This upgrade will also upgrade any necessary dependency packages as well, automatically. You can update the package in a similar way we upgraded pip above. If the package you are looking to use is already installed but simply out of date. Pip will always install the latest version, so if you wish to install an older version of scikit-learn, all you need to do is specify it in the installation statement use a double equal sign: Upgrading Packages These other packages are called dependencies. This is because pip will install any other packages that scikit-learn depends on. You may notice from the logs that more then the scikit-learn package is being installed. In the following example, you will learn how you can install the scikit-learn package, which will install the other necessary dependencies. You can use pip list in the command line, and it will display the Python packages in your current working environment in alphabetical order. If pip is giving you an upgrade warning, you can upgrade using pip itself: Viewing a Pip Listīefore you make any installs, it is a good idea to see what is already installed. Here we see that pip 19.1.1 is compatible with Python 3.5.2. It is important that the pip version is compatible with the Python version. You can print the pip version the same way you print the Python version. Pip has a variety of commands and option flags designed to manage Python packages. They can be installed through pip, the standard package manager for Python, via the command line. The Python standard library comes with a collection of built-in functions and built-in packages.ĭata science packages like scikit-learn and statsmodel are NOT part of the Python standard library.
Pip is a standard package manager used to install and maintain packages for Python.
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