Being REALLY Lazy With Multiple Aggregations in Pandas Perform multiple aggregate functions simultaneously with Pandas 0.25
Splitting Columns With Pandas Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
Comparing Rows Between Two Pandas DataFrames Find data that is not common between two Pandas DataFrames; effectively the opposite of finding an intersection of data.
Recasting Low-Cardinality Columns as Categoricals Downcast strings in Pandas to their proper data-types using HDF5.
Using Hierarchical Indexes With Pandas Use Panda's multi-index to create smarter datasets. Speed up your workflow by easily selecting and aggregating related data.
Reshaping Pandas DataFrames A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.
Data Visualization With Seaborn and Pandas Create beautiful data visualizations out-of-the-box with Python’s Seaborn.
Building an ETL Pipeline: From JIRA's REST API to SQL Build a pipeline which extracts raw data from the JIRA's Cloud API, transforms it, and loads the data into a SQL database.
