Jupyter notebooks for Parallel Programm (CS/JHU) Fall 2022

The tools we are going to use for lectures:

• python -- interpreted programming language favored by CS-oriented data scientist and ML folks
• conda -- package manager and configuration environment for Python
• jupyter lab -- literate programming environment that mixes code and markdown
• github -- cloud-based repository management for sharing stuff

To get here, we need to do the following:

For windows, I recommend using WSL (Windows Systems for Linux). I am running Ubuntu 20.04.2 LTS which comes with Python 3.8.

Anaconda prefers that you download an installer from https://www.anaconda.com/products/individual If you are using WSL, you need to download and run the Ubuntu installer Create and activate a conda virtual environment

• conda create -n pp
• conda activate pp

conda install numba scikit-learn scikit-image jupyterlab pip

Clone the github repository and move into directory

• git clone https://github.com/randalburns/pplectures2022.git
• cd pplectures2022

jupyter lab