Artfully balance a harmony of statistics, engineering, and machine learning to solve larger-than-life problems. Focused heavily on Python-based tooling.
Use Pandas and Plotly to create cloud-hosted data visualizations on-demand in Python.
Making high-quality data visualizations is a critical skill for Data Scientists. Learn how to get better at it using Plotly's Python library.
Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
Compare similar datasets to identify rows which
Downcast strings in Pandas to their proper data-types using HDF5.
Use Panda's Multiindex to make your data work harder for you.
Create beautiful data visualizations out-of-the-box with Python’s Seaborn.
Improve your Jupyter workflow with JupyterLab's powerful interface & customizations.