PY01 - Introduction to Python Programming

Python fundamentals

Welcome to the first UCL Data Science Society Workshop of the year!!

In this workshop we will set you up with the tools that we will use for the rest of term and introduce you to variables, data types and operators in Python.

These act as the foundations for developing more complicated and advanced workflows that you often see in Data Science and Sofware Development applications.

Author: Tony Wu, Head of Science (20/21), UCL Data Science Society
Updated Philip Wilkinson, Head of Science (21/22) UCL Data Science Society (philip.wilkinson.19@ucl.ac.uk)

Requirements

Prior to this lecture please install

• Anaconda
• Git

To install the environment:

1. Search your laptop for Anaconda Prompt (Anaconda 3)

2. Navigate to the directory you have the current documents i.e.

   cd Docuemnts/Data_Science/DSS/lectures/fundamental-python-workshop

3. Create a new environmt using the environment.yml

   conda env create -f environment.yml source

4. Create an Ipython kernal for the DSS environment

   python -m ipykernel install --user --name DSS --display-name DSS

5. Active the environment

   conda activate DSS

6. Launch Jupyter notebook

   jupyter notebook

Proudly presented by the UCL Data Science Society

Structure

├── PY01 - Introduction to Python Programming - Logic
│   ├── README.md
│   ├── problem.ipynb
│   ├── solution.ipynb
    └── workshop.ipynb