![]() Install numpy with sys library in Jupyter Notebook So in that case, you do not install one dependency package of a project into another using PIP command in Jupyter notebook, it would be a great practice to use Python sys library, which will return the current versions of pip on which your Jupyter Notebook is running. And using Python3.9 for your latest Jupyter Notebook protect and 3.8 for an old project. Many Pythonista use multiple Python versions on the same system, for instance, you might have Python3.8 and 3.9 running side by side on the same system. The approach of installing Python Package using sys library in Jupyter Notebook is similar to the above ! pip install command. Install Python package in Jupyter Notebook using “ Python sys library.“ The -yescommand will make all the permission to yes even if the operating system has multiple users. ![]() ![]() Similar to the pip install command we use the conda install command to install Python packages for the conda environment. If you are using Jupyter Notebook with anaconda and want to install python packages using Jupyter Notebook then you need to write the following command on your Notebook cell !conda install -yes numpy Many Pythoneer also uses conda distribution for installing Jupyter Notebook and Python packages, in that case, the above command won’t be of any help.
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