Currently, Python 2.7 is available via Anaconda 2, and Python 3.6 is available via Anaconda 3. Determine the required python version: You need to determine which version of Python you'd like to develop with.Īs an RCE user, you have the ability to install Python modules locally to your home directory and use them in your projects. If you install a module with pip, it automatically becomes available in all conda environments. If you install a module using conda, you can make it available to a limited set of conda environments if you so choose. We also have additional documentation for using Anaconda Python in the RCE. You can find full documentation for using Conda at. You can easily activate or deactivate (switch between) these environments.įor example, to create an Python 3.6 environment with the Pandas version of 0.19 and its dependencies, open the Anaconda shell from the RCE applications menu, then issue these commands:Ĭonda create -name mypandas019 python=3.6 pandas=0.19 If you change one environment, your other environments are not affected. Conda is only aware of a subset of Python packages, and is not meant as a replacement to pip.Ī virtual environment is a named, isolated, working copy of Python that that maintains its own files, directories, and paths so that you can work with specific versions of libraries or Python itself without affecting other Python projects. Conda is also an environment manager application. For example, you may have one environment with NumPy 1.7 and its dependencies, and another environment with NumPy 1.6 for legacy testing. Conda is a package manager application that quickly installs, runs, and updates packages and their dependencies. It can query and search the package index and current installation, and install and update packages into existing conda environments.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |