![]() Make sure that if you are installing a version of a package from PyPI you don't already have the same package installed from conda. Conda and PyPI packages generally play nicely. PyPI often has packages that are not on conda or conda-forge. U specifies to update all dependent packages. Pip install -U pandas Install or update the pandas package from PyPI - the Python package manager. ![]() This is useful when a package doesn't exist on the main channel or the version on the main channel isn't as new as you would like.Ĭonda update pandas Download and install the latest pandas package from the main conda channel. Manage packages in active environmentĬonda list List installed packages and versions in the active environment.Ĭonda install pandas Download and install the pandas package from the main conda channel.Ĭonda install -c conda-forge pandas Download and install the pandas package from the main conda-forge channel. Wherever you go on your machine you will stay in your activated virtual environment.Ĭonda deactivate Deactivate the current environment. Conda can be setup to activate an environment whenever you open your terminal. You can tell you are in a virtual environment because your command line prompt will start with the name of your virtual environment in parentheses. Activate and deactivate environmentĬonda activate myenv Activate the myenv virtual environment. Create environmentĬonda create -n myenv pandas jupyterlab Create a new conda environment named myenv with the latest version of Python on the main conda channel and have pandas and jupyterlab installed into it.Ĭonda create -n myenv python=3.9 Create a new conda environment named myenv with the Python version specified. Anaconda installs many packages and tools that are common for data science. Anaconda and miniconda come with Python and pip installed. Use conda commands to create and manage a virtual environment and the Python packages inside it.ĭownload the Anaconda or Miniconda.
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