High Performance Data Processing in Python

  • 2019-01-29 01:55 PM
  • 118

numpy and numba are popular Python libraries for processing large quantities of data. This talk explains how numpy/numba work under the hood and how they use vectorisation to process large amounts of data extremely quickly. We use these tools to reduce the processing time of a large, real 600GB dataset from one month to 40 minutes, even when the code is run on a single Macbook Pro.

Social Network for Developers ☞ https://morioh.com
Developers Chat Channel ☞ https://discord.gg/KAe3AnN
Playlists Video Tutorial ☞ http://dev.edupioneer.net/f086e182ab
Learn to code for free and get a developer job ☞ https://codequs.com/
Aiodex’s Referral Program  will give you 20% -80% commission from their transaction fee for 7 years. The value will be calculated starting from the date the member you invite sign up ☞ http://vrl.to/c4099b4d9f
Next Generation Shorten Platform: Optimal choice to make a profit and analyze traffic sources on the network. Shorten URLs and Earn Big Money ☞ https://viralroll.com/
Get Free 15 Geek ☞ https://geekcash.org/

Learn More

Complete Python Bootcamp: Go from zero to hero in Python 3

Complete Python Masterclass

Learn Python by Building a Blockchain & Cryptocurrency

Python and Django Full Stack Web Developer Bootcamp

The Python Bible™ | Everything You Need to Program in Python

Learning Python for Data Analysis and Visualization

Python for Financial Analysis and Algorithmic Trading

The Modern Python 3 Bootcamp

PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w

Suggest