Pycon 2017 Big Data Workshop

Pycon 2017 Big Data Workshop Information Guide

1. Overview on Pycon 2017 Big Data Workshop
2. Core Information
3. Recent Updates
4. Full Guide
5. Future Outlook

Overview on Pycon 2017 Big Data Workshop

"Speaker: Larry Hastings One of the most interesting projects in Python today is Larry Hastings' ""Gilectomy"" project: the removal ... "Speakers: Paul Everitt, Guido van Rossum Panel Discussion Slides can be found at: and ... "Speaker: Aileen Nielsen Time series analysis is more relevant than ever with the rise of "Speakers: Ben Zaitlen, Matthew Rocklin, Min Ragan-Kelley, Olivier Grisel An overview of parallel computing techniques available ... Raoul-Gabriel Urma Sunday 12:30 Room C Modern applications generate and manipulate a lot of Here is the code for today's session - Free course ...

V Vishnu Anirudh My talk will focus on Version Control Systems (VCS) for

Core Information

Recent Updates

Talk: Itamar Turner-Trauring - Small Big Data: using NumPy and Pandas when your data doesn't fit ...

PyCon PH 2017 - Big Data Processing and Data Science Environment in Python by Rick Bahague

Ben Zaitlen, Matthew Rocklin, Min Ragan Kelley, Olivier Grisel Parallel Data Analysis PyCon 2017

PyCon.DE 2017 Uwe Korn - Connecting PyData to other Big Data Landscapes using Arrow and Parquet

PyCon.DE 2017 Alexander Hendorf - Effective Data Analysis with Pandas Indexes

PYCON UK 2017: Making Sense of Big Data File Formats: Avro and Parquet

Pycon 2017 - Workshop - Building Spark application using Python

Developing Python Applications and Analyzing Big Data in the Cloud - Chris Boesch

Managing Big Data in Machine Learning projects

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: June 18, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.