Create Cloud-hosted Charts with Plotly Chart Studio Use Pandas and Plotly to create cloud-hosted data visualizations on-demand in Python.
4 Ways To Improve Your Plotly Graphs Making high-quality data visualizations is a critical skill for Data Scientists. Learn how to get better at it using Plotly's Python library.
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.
Welcome to SQL: Modifying Databases and Tables Brush up on SQL fundamentals such as creating tables, schemas, and views.
Geocoding Raw Datasets for Mapbox Use the Mapbox Python SDK to transform a collection of addresses into lat/long coordinates.
