With this Library
This library only intends to ease those getting into Jupyter and Notebooks.
We provide options for:
and more.
However, this is intended to meet the most common cases.
For more details see the Grouping and Aggregating with Utils tutorial.
Growing into DataFrames
There are many other libraries that go into detail farther than we will want to provide.
If you are just getting started, I might suggest working with d3 as a swiss army knife of the internet
If you are more familiar with Pandas and DataFrames, I might suggest DanfoJS
Additionally, if you are looking for number processing at hardware accelerated speeds, I would suggest reviewing other libraries, such as ScramJet and NumJS
Additionally, StdLib has some amazing work with hardware acceleration and GPU utilization.
For more details see the Super-Charge manipulation with DataFrames tutorial.