Curriculum for Jan 2015 Python course at TIY Durham

Timeline

Week 1

By the end of this week, students should be comfortable with:

• Computational thinking
• Setting up your computer for development
• Variables
• Loops
• Functions
• Modules
• Dictionaries
• Testing your code
• Using Git and GitHub to manage source code

References:

• Notebooks
• Chapters 1-5 in I2CPUP.

Week 2

• Debugging
• Tuples
• Higher-order functions
• Recursion
• Exceptions
• Object-oriented programming
• Algorithmic complexity
• Search and sort algorithms

References:

• Chapters 6-10 in I2CPUP.

Week 3

• Stochastic programming
• Randomness
• Creating simulations
• Monte Carlo simulations
• Plotting
• NumPy
• Simple statistics
• Basic statistical inquiry

References:

• Chapters 11-14 in I2CPUP.

Week 4

• Regular expressions
• Loading and manipulating data with pandas
• Common data formats
• Publicly available data sets
• Data set quality
• Cleaning data sets
• Relational databases
• Database design

References

• Python for Data Analysis

Week 5: Data

• Consuming REST APIs
  • OAuth
• Neural networks
• Classification algorithms
• Clustering
• Recommendation algorithms

References

• Chapter 19 in I2CPUP.

Week 6: Web

• HTML
• CSS
• Flask
• REST

Week 7: Web

• JavaScript
• Web dataviz

Week 8: Systems

• Linux
• Installing packages
• Running programs remotely
• Supervisors
• Ansible

Week 9

This week is a week for review and catch-up. Things will fall through the cracks during the previous 8 weeks, and so we have this week as a flex week to make sure we cover everything you need.