It has no idea about RPM format either, nor about what you already have installed through the system ( yum) packages. Now, pip is the installer/manager for Python modules available via PyPI.īut it has no idea whatsoever about your package manager. All the packaged software that depends on Python modules in one way or the other, will depend on the system-packaged Python modules. Python modules that are available through yum ( dnf) often serve as a base for the core OS functions like yum itself. You can simply install them as any other package, for example: sudo yum install python2-requests You will find that many Python modules are available through the yum repositories as RPM packages, e.g.: For CentOS/RHEL/Fedora, it’s yum or dnf, and this is what we’ll touch in our examples. But their common feature is the package management system.įor Debian-based systems, that is apt. This command will show information about the package, including the location where it is installed.Here, I’m going to touch on why not to run pip as root, give some examples on how it’s going to break things miserably, and what to do instead.Įach Linux/GNU distro is unique in some way. For example, to find out the location where numpy package is installed, you can run: pip show numpy You can use the pip show command to find out where a package is installed. The location of the site-packages directory can vary depending on the operating system and the way Python was installed ((in my case inside D:\ drive)). For example, I am using windows operating system and I have installed Python in D:\ drive.īy default, pip installs packages in the site-packages directory of the Python installation. The location of the installed packages depends on the configuration of your Python environment and the operating system you are using. But you need to install each version in different virtual environment. You can install multiple versions of same package using pip command easily. But now that library is updated with different functions. This is required while testing any python code written earlier using any library. While working in a Python project, sometimes you need to use multiple versions of the same package. Install multiple versions of same package The command will run the setup.py script and install the package in your python environment. Finally, run the following command to install the package.Now open your terminal or cmd and navigate to the extracted directory.Download the package source code in a zip or tar.gz format.Let’s say we want to install package or library requests manually to do that: Once you mention those in that text file, save this file as requirements.txt in your project directory or working directory.Īlso Read: Install TensorFlow GPU with Jupiter notebook for Windows For example, if you want to install spacy libray with version 3.5.1 and NLTK version 3.8.1, you need to mention those in the text file like below: spacy=3.5.1 To create a requirements file, simply open a text editor and list the packages you want to install, each on a new line, in the format package_name=version_number. While implementing any GitHub project you may see that the GitHub projects contain a riqurement.txt file.Ī requirements file is nothing but a simple text file which contains list of all the packages you want to install along with their version numbers. Method 2: Install packages from a requirements fileĪnother common way to install multiple packages using requirements files. pip install numpy=1.19.3 pandas=1.2.0Ībove command will install numpy version 1.19.3 and pandas version 1.2.0 in your Python environment. Now if you want to install a specific version of any package you want to install. Install specific versions of different packages This means that pip will first install numpy package then it will install pandas. Note that, above command will install packages in a specific order. To do this, you just need to mention list of packages you want to install separated by a space after the pip install command.įor example, if you want to install numpy and pandas, you can run the following command in your terminal: pip install numpy pandasĪbove single line command will install multiple packages ( numpy and pandas) at once. The simplest way to install multiple packages in Python is by using the pip install command. Method 1: Install multiple packages using pip In this post, we will explore different ways to install multiple packages in Python using pip or without pip. For some projects sometimes you may need to install multiple packages at once. If you are working or learning Python then you must use different packages or libraries to develop something new.
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