Introduction to Python Data Wrangling with Python datatable Series 1/3

This meetup was recorded in San Francisco on January 29th, 2020.

Description:
This talk will be the first of a series of talks regarding Python datatable. We will provide an introduction of H2O’s datatable focusing on what datatable is, what is not, when to use it, high-level library overview, where to ask questions, how to contribute, a short demo followed by the Q/A session.

Prerequisites:
Knowledge of Python
Jupyter Lab Installed
Python datatable installed on your local machine or use cloud

Bios:
Pasha is a Hacker Scientist at H2O.ai. He holds an MS in Applied Physics and Mathematics from Moscow Institute of Physics and Technology, an MA in Economics from New Economic School (Moscow), and a PhD in Economics (econometrics) from Stanford University. During his education, he obtained knowledge in Computer Science, Machine Learning, Statistics, and Econometrics.

Oleksiy Kononenko: Oleksiy is a maker scientist and hacker at H2O.ai, focusing on highly optimized algorithms for machine learning and data analysis. He holds M.S., summa cum laude, and Ph.D. degrees in applied mathematics from National University of Kharkiv, Ukraine. In 2009, Oleksiy was selected as a research fellow by CERN and contributed to R&D for Large Hadron Collider and the next generation of high energy particle accelerators. In 2013 he joined SLAC and Stanford University to develop high- performance simulation suite for 3D multi-physics modeling. Oleksiy authored more than 60 scientific papers, was an invited speaker at major international conferences, prominent institutions, and companies worldwide.

[gerarddesilva]

Hi. How can I access parts 2 and 3? Thanks