Organized by Topic. See here for list of videos
Here are some of the current topics. More to come week by week!
Introducing the IDLE environment
Exploring the basic interface to the unittest module
What are lambda functions? When should you use them? Plus an example of stable sorting
Learn about Python lists, their methods, and Big-O characteristics
Learn about a useful built-in for accessing the index of sequence items. Code smells to avoid, and unpacking.
Explains conditional expressions and short circuiting
Using pip to install from PyPi
Using venv in Python 3 to isolate environments
Installing Jupyter using pip
Using PIP is an easy way to install the Seaborn package on your computer
Using PIP and Conda to upgrade Jupyter Notebook
Learn about Cookie Cutter to bootstrap your Python project
Exploring the basic interface to the unittest module
Using the FTFY (fixes text for you) library to decipher Mojibake
Dealing with titlecase, capitalization, and hints to avoid pitfalls
Dealing with whitespace in strings (strip, join, replace, and regular expressions)
Unicode has additional whitespace characters that you might not know about. Not to fret, Python can handle them.
Various ways to combine strings, and insert the oxford comma
A string is a sequence of individual characters in Python. You can index, slice, and iterate over it.
Using Jupyter and enumerate to get the index during looping
Using Jupyter and enumerate to get the index during looping
Getting data from nba-reference.com. Cleaning the data in pandas
Plotting with a series. Finding the cumulative sum, dealing with missing values, and adding plot labels
Comparing two plots. Adding legends and labels with pandas and matplotlib
Making a matplotlib plot do steps by using List Comprehensions
Changing a plot by calling set_index
Using Seaborn to change the plot style
Using cell magic to embed plots in Jupyter
Histograms are a basic visualization for seeing the lay of the land. How do we create one in Matplotlib, Pandas, and Seaborn
Using Pandas to load an Excel file and plot Presidential data
Using Seaborn to visualize the relationship between two variables
Using matplotlib to create a bubble plot that shows 3 dimensions
Using pandas to create a bubble plot that shows 3 dimensions
Using seaborn to create a bubble plot that shows 3 dimensions. Insight into hue_kws
Plotting with a series. Finding the cumulative sum, dealing with missing values, and adding plot labels
Using the Anaconda distribution to isolate working environments
Using the Anaconda distribution to install packages
Using PIP and Conda to upgrade Jupyter Notebook
Installing Jupyter using pip
Brief introduction to Jupyter Notebook
Using cell magic to embed plots in Jupyter
Using PIP and Conda to upgrade Jupyter Notebook
How to use Markdown in Jupyter
Using the display function to view multiple items in a cell