Real-world examples of Python snippets used to solve complex data problems, primarily leveraging Pandas and related libraries.
Parse dates and times from Excel .xlsx correctly when using Pandas.
Speed up data analysis by parallelizing your DataFrames.
Reshaping Pandas DataFrames with a real-life example, and graphing it with Altair.
Using Pandas with databases wrong way, and how to clean it up with SQLAlchemy.
Cleaning data in Pandas the dirty way.
Set up CRON jobs to interact with Conda environments.
Use SQLAlchemy with PyMySQL to make database connections easy.