pypr-2122/table-of-contents

Python Programming 21-22 - Table of contents

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 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 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 Search and understand documentation Code available here	Tutorial sheet	NumPy, plotting, and input/output to a file
Week 5: Better plots, docstrings, and introduction to SciPy Label and customise plot appearance Writing good docstrings SciPy for statistics and optimisation	Plotting with matplotlib Docstrings and doctest Introduction to SciPy Code available here	Tutorial sheet	Sorting and efficiency
Week 6: More containers, comprehensions, and problem-solving methods Tuples Dictionaries Comprehensions The algorithm design process Problem-solving example: the post office problem	List comprehensions, tuples and dictionaries Code available here	Tutorial sheet	Zipf's law
Week 7: Iterators and generators, and introduction to Pandas Iterators Generators pandas dataframes to manipulate data	Introduction to pandas Code available here	Tutorial sheet	API requests: Weather forecast
Week 8: More pandas, Seaborn Dealing with missing data and text data with pandas Fancy visualisations with seaborn	No videos this week	Tutorial sheet	Getting started with Project 2
Week 9: More pandas, Seaborn More on groupby Pivot tables Melting dataframes to convert to long format	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 Code available here	No tutorial sheet	No workshop task
Week 10: Object-oriented programming Classes and objects Defining your own classes Attributes and methods Special methods and operator overloading Inheritance	Object-oriented programming Code available here	Tutorial sheet	No workshop task