Python Programming - Table of contents

Week	Videos	Tutorial sheet	Workshop task
Week 1: Getting started with Python Introduction: Python and Jupyter Variables and objects Basic object types: int, float, str, bool	"Python Programming"?... How to get the Week 1 tutorial sheet Python basics: print(), variables, and objects	Tutorial sheet	Pair programming
Week 2: Lists, loops, and functions Type-casting and duck-typing Containers: lists, ranges for loops Writing your own functions	Lists, loops, and functions Code-along: paying interest to a bank account Code available here	Tutorial sheet	Fun with sequences
Week 3: Conditional statements, more loops, and code review Conditional statements: if-elif-else Nested loops and while loops Code review and debugging essentials	Conditional statements, while loops, and error traces Code-along: the bin packing problem Code available here	Tutorial sheet	Code review
Week 4: Numpy, plotting, and reading/writing text files Namespaces and scope Numpy arrays, linear algebra and complex numbers Plotting with matplotlib Reading and writing text files	Namespaces, scope, NumPy, and reading/writing a text file Code-along: Maths with NumPy Search and understand documentation Code available here	Tutorial sheet	NumPy, plotting, and input/output to a file
Week 5: Better plots, docstrings, and algorithm design Label and customise plot appearance Writing good docstrings The algorithm design process Problem-solving examples: the post office problem, the bisection algorithm	Structured programming and algorithm design Code-along: the bisection algorithm Docstrings and doctest Code available here	Tutorial sheet	Sorting and efficiency
Week 6: More containers, iterators and generators Tuples Dictionaries Comprehensions Iterators Generators	List comprehensions, tuples and dictionaries Iterables, iterators and generators Benchmarking and profiling Code available here	Tutorial sheet	Code review
Week 7: SciPy and Pandas SciPy for statistics and optimisation pandas dataframes to manipulate data	SciPy and pandas Code-along: a word cloud from your feedback Jupyter notebooks and git/GitHub	Tutorial sheet	Zipf's law
Week 8: More pandas, Seaborn Dealing with missing data and text data with pandas Fancy visualisations with seaborn	No videos this week	Tutorial sheet	Edinburgh cycle hire data
Week 9: Object-oriented programming Classes and objects Defining your own classes Attributes and methods Special methods and operator overloading Inheritance	Object-oriented programming Code-along: creating a "Polynomial" class	Tutorial sheet	Code review
Week 10 A few more pandas/seaborn video examples.	pandas 1: Grouping dataframes pandas 2: Reshaping dataframes pandas 3 + seaborn: Visualising data in "long" form Edinburgh bike data: Average duration and distance Edinburgh bike data: Most common starting station Edinburgh bike data: Most common time of day Code available here	No tutorial sheet	No workshop task