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Business intelligence laboratory - Pandas lab starter code

This repository contains two notebooks:

  1. Introduction to Pandas, also available here
  2. The lab starter code. This is the one you need to fill out, commit and push to the repository. Your last commit before the deadline is will be graded.

Installation

The Anaconda Python distribution contains all necessary packages but you can also install the packages one-by-one via Miniconda or pip. Miniconda requires less disk space than Anaconda.

Installing the required packages via (Mini)conda:

conda install -c conda-forge notebook pandas matplotlib seaborn

You can optionally install the extension library for Jupyter and enable the Table of Contents (main/toc2) extension.

Running Jupyter

You are now ready to start a local jupyter server. Jupyter can be started from the terminal (we recommend Git BASH on Windows) by running:

jupyter notebook

This will start a local Jupyter server on port 8888. A URL that looks like this should be shown in the terminal:

http://127.0.0.1:8888/?token=TOKEN

Opening this URL should give you a directory listing. Navigate to the location of your Github Classroom repository and open the notebook.

Submission

Submissions must be made through Github Classroom. The invitation link is available in Moodle.

VERY IMPORTANT replace the contents of the neptun.txt file with your own Neptun code. Do not change the file's name.

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