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 ppconda 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.gitcd pplectures2022
jupyter lab