Install “Microsoft’s Open R” (which is an enhanced version of R by Microsoft). The task below is to create a custom Anaconda overlay environment called myconda and, just for the sake of explanation, Install some software into my own Anaconda environment To get going with your own setup for your own CoCalc project,Īnd your own kernel. It is mostly used for Python packages, but it can manage and deliver almost any kind of software.ĬoCalc provides a global environment, which you can start by running anaconda2020 in a Linux Terminal or a related kernel in a Jupyter Notebooks. Anaconda Environment Ĭonda is an alternative packaging system by Anaconda. (my-special-env) ~/my-special-env$ open my-special-env.ipynbĪll in all this gives you a precisely defined environment, outfitted with checksums for all dependencies for reproducibility. Installed kernelspec my-special-env in /home/user/.local/share/jupyter/kernels/my-special-env (my-special-env) ~/my-special-env$ python3 -m ipykernel install -user -name=my-special-env This example might be included in internal tests, to make sure future updates do not break that library. Special requirements and dependencies to build & installĪ short but complete example, such that we can verify that we properly installed the software. Install will happen faster if you include as much as possible of the following information: Uncomplicated install requests are typically handled within 1 business day for paying customers. Please open a support request to tell us to install it globally for everyone. If a package may have general use but is not already installed in CoCalc, Install some software into my own Anaconda environmentĬonfigure a Jupyter kernel for my custom Anaconda environment Related: Custom Jupyter Kernel, Setup Jupyter Extensions and Install R Packages. This page describes how to install a Python package in a CoCalc project.ĬoCalc already includes hundreds of packages for several Python environments.Ĭheck first if the lib you’re looking for is already installed!
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