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Preface

Introduction

Contributing
Install python and an IDE
GitHub
Conda virtual environment
Docker
Python Prerequisites

Algorithms and computational modelling

The importance of design
Designing using objects
Scientific coding in numpy
Exercises
Debug challenges
- numpy debug
Solutions

Statistical Programming

Data wrangling
Visualising data
Exercises
Solutions

Managing Data Science Projects

Version control
Deployment
Exercises
Solutions
- Python package exercise

Appendix

Acknowledgements

Appendix Basic Python

Lectures
- Python Basics
- Conditionals and Loops
Practicals

Repository
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Debug challenges

Debug challenges#

To test your numpy skill there are two debug challenges

Debug a monte-carlo simulation of an acute stroke pathway.

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By Thomas Monks

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