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Preface

Introduction

Contributing
Install python and an IDE
GitHub
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
Open issue

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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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