It is available on Linux, Windows, and Mac OS X.

Machine Learning Python Packages: scikit-learn.

Analytics & Scientific Computing Python Packages: NumPy, Matplotlib, Pandas, SciPy.

Among them, the open-source Anaconda Python Distribution ) is probably the most popular for data science, by bundling: Usage: h2jupynb If no arguments are given to this script it is assumed that: your Hoffman2 user name is the same as on your client machine the time duration for your session is of 2 hours the parallel environment is shared the memory per slot for your session is of 1GB the number of slots for your session is of 1 the python version for your notebook is 3.9.6 the port on which the server is started is 8789 the starting directory on Hoffman2 is your $HOME use GPU? default is no GPU type default is RTX2080Ti (if -g yes) CUDA version 10.2 (if -g yes) not running on owned nodes not running in exclusive mode no specific CPU selected (see 'ARCH' in output of 'qhost') python versions currently available are: 2.7.18, 3.7.3, 3.9.6, anaconda3 cuda versions currently available are: 9.2, 10.0, 10.2, 11.Picking a IDE with a powerful graphic debugger is CRITICAL in program development!!! Python's Anaconda Distribution (Recommended for Data Science)īesides the Official Python Distribution from, there are many Python distributions available.

Passing environmental variable to your Julia notebook.Installing and Running Julia kernels in Jupyter.Installing R packages within an R notebook.Installing python libraries via conda in an anaconda python notebook.Running python/anaconda virtual environment kernels in Jupyter.Running anaconda python kernels in Jupyter.Installing python libraries via Pip in a python notebook.Requesting resources for your Jupyter Notebook session.Required software on your local computer.Configure the X2Go client to connect to Hoffman2.How to reconnect to a suspended NX session.Download NoMachine Client for your operating system.Instructions for Windows Subsystem for Linux.

Cygwin anaconda python