Data Science
Artfully balance a harmony of statistics, engineering, and machine learning to solve larger-than-life problems. Focused heavily on Python-based tooling.
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.
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 Multiindex to make your data work harder for you.
Data Visualization With Seaborn and Pandas
Create beautiful data visualizations out-of-the-box with Python’s Seaborn.
Upgrading to JupyterLab on Ubuntu
Improve your Jupyter workflow with JupyterLab's powerful interface & customizations.
