Data Structures & Applications

• Jupyter Notebooks for teaching and learning Data structures using C++
• Some chapters of notebooks are based on open-source textbook: CS2 Software Design & Data Structures from Virginia Tech's OpenDSA Project

Requirements

• Linux/MacOS/WSL on Windows (Not tested on Windows itself)
• Jupyter Notebook
• xeus-cling notebook kernel
• git

Install required tools

• Note: these libraries and tools need to be installed just once, if you've Jupyter Notebook with C++, you can safely ignore this section.

• Install Miniconda: https://conda.io/miniconda.html

• open a terminal/shell and run the following commands

• create a virual environment to keep C++ specific installtions seperate from base installation

    conda create -n cpp python=3.7 # create virtual env named cpp with Python3.7 support
    conda activate cpp #activate the virual environemnt
    conda install notebook
    conda install -c conda-forge xeus-cling
    conda install -c conda-forge jupyter_contrib_nbextensions
    conda install -c conda-forge jupyter_nbextensions_configurator
    jupyter nbextensions_configurator enable --user

Run notebooks

• clone the repository locally once the tools are installed
• open a terminal and cd into this cloned repo and run jupyter notebook

    cd <cs2notebooks repo folder>
    jupyter notebook

• open 00-TableOfContents notebook or open individual chapters

Stop Jupyter Notebook server

• Enter ctrl+c to stop jupyter notebook from the terminal where its running from

$ conda deactivate # to deactivate the virtual env and go back to base installation