Speeding Up Your DataFrames With Polars
How can you get more performance from your existing data science infrastructure? What if a DataFrame library could take advantage of your machine’s available cores and provide built-in methods for handling larger-than-RAM datasets? This week on the show, Liam Brannigan is here to discuss Polars.
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Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel
This interview was recorded for GOTO Unscripted.gotopia.techRead the full transcription of this interview hereOscar Beijbom - Co-Founder at NyckelPrayson Daniel - Principal Data Scientist at NTT DATADESCRIPTIONSelf-driving vehicles have been a hot topic for a while now and everyone is waiting for...
#170 Visualize this: Visualizing Python's visualization ecosystem
Topics covered in this episode:
Python visualization graph
Awesome Zen of Python
Jupytext
Tour of Python Itertools
justpy.io
Modularity for Maintenance
Extras
Joke
See the full show notes for this episode on the website at pythonbytes.fm/170
R for the Rest of Us Podcast Episode #4: Abdoul Madjid
In this episode I speak with Abdoul Madjid about his journey to R. To learn more about Abdoul, you can find him on Twitter and on Mastodon. His data visualization, done as part of Tidy Tuesday, is on GitHub.
#201: Choosing JupyterHub and Python over MATLAB
See the full show notes for this episode on the website at talkpython.fm/201
#171: 1M Jupyter notebooks analyzed
See the full show notes for this episode on the website at talkpython.fm/171
Brian Granger and Fernando Perez of the IPython Project
You can find past episodes and other information about the show at podcastinit.com
Brief Introduction
Date of recording – June 3rd, 2015
Hosts – Tobias Macey and Chris Patti
Overview – Interview with Fernando Perez and Brian Granger, core developers of IPython/Project Jupyter
Follow us o...
#44: Project Jupyter and IPython
See the full show notes for this episode on the website at talkpython.fm/44
