![]() As with python virtual environments, you can have any number of these environments and activate the required one. Where packages contain compiled libraries, these are generally available as pre-compiled binaries. ![]() This enables the installation of packages from conda channels, typically conda-forge, which are not restricted to being Python packages. By contrast, a Conda environment is a much bulkier, more fully featured environment, using the conda package manager.Depending on the package being installed, if it requires compiled libraries to accompany it, it may try to compile these locally, but depending what development libraries are available, occasionally this might not succeed. When you run "pip" to install a Python package, additional Python packages may be installed automatically in order to satisfy dependencies. This enables you to install packages in your home directory without writing to the underlying Python installation itself (for example when you do not have write permission), and you can have any number of separate virtual environments and "activate" the relevant one when needed. A Python virtual environment is a relatively lightweight environment, which is used for running Python packages, typically installed using the "pip" installer from the Python Package Index ( pypi) or locally from Python source containing a "setup.py" file. ![]() Description of Python virtual environments and Conda environments This page gives an overview of what they are, and how to choose which one is most suitable for your needs. Separate pages explain the details of how to create and install Python virtual environments and Conda environments. ![]() Typical examples why you may wish to do this is if you have asked us to add packages to Jaspy but wish to make use of them before the next release, or if they are not likely to be relevant to other users. This article describes two types of software environments that you can create in order to install packages for your own use on JASMIN. Since Python 3.3, a subset of virtualenv has been integrated in the Python standard library under the venv module.Conda environments and Python virtual environments Introduction Create Virtual Environment with Virtualenv/venvĪ commonly used tool for virtual environments in Python is virtualenv. This also keeps things tidy when testing packages and making sure your main Python installation stays healthy. This is useful if you need different versions of Python or packages for different projects. This means that each environment can have its own dependencies or even its own Python versions.
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