Perform multiple aggregate functions simultaneously with Pandas 0.25
My favourite utility function that I have written since coming into Python.
The crash-course for newcomers to Python’s largest web framework. Create your first functioning Django web application.
Easily install and manage multiple versions of Python on Ubuntu 18.04 or older.
Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
Extract and move data between BigQuery and relational databases using PyBigQuery: a connector for SQLAlchemy.
Find data that is not common between two Pandas DataFrames; effectively the opposite of finding an intersection of data.
Using the SQLAlchemy ORM to build data models with meaningful relationships. Create one-to-one, one-to-many, many-to-one, and many-to-many relationships.
Manage files in your Google Cloud Storage bucket using the google-cloud-storage Python library.
Working with Spark's original data structure API: Resilient Distributed Datasets.