SCIMUS 2017

Lectures/Workshops Ecole Centrale de Nantes October 2017.

Content

• Lab 1: Data collection - Working with Web APIs
• Lab 2: Introduction to Data Processing - Python - Pandas
• Lab 3: Data processing at scale - Introduction to Spark & Collaborative Filtering
• Slides

Labs Setup

1. Clone the repository:

   git clone https://github.com/glinmac/scimus-2017
   

2. Start the Jupyter notebook:

   cd scimus-2017/labs
   jupyter notebook
   

3. Open your Web Navigator at the following URL: http://localhost:8888/tree

4. For each lab:

   1. Open the notebook in Jupyter
   2. Make a copy of the notebook (File>Make a copy...)
   3. Rename it to Lab 1 - Student Name 1 - Student Name 2
   4. Start working on this new copy
   5. Email report at the end of the session