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Why each platform (mac, linux) has it's own wheels.
What are best practices for wheels creation.
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Talk
Table of contents
Intro to wheels: How did we transition from eggs to wheels?
Understanding Wheels structure.
Deep dive into numpy/torch wheels and understand why they are big.
Standard Conventions around Wheels. (esp around naming wheels)
What domain would you say your talk falls under?
Core Python
Duration in minutes (including Q&A)
30 mins
Prerequisites
installation of any package manager.
Speaker X(Twitter): Account link (Optional)
x.com/abhiksark
Profile Picture
No response
Speaker bio
Abhik Sarkar is the Head of Machine Learning at Cloudastructure, Inc., where he creates computer vision solutions for security. Abhik is passionate about diving into the core of Python, exploring its nuances, and continually expanding his expertise.
The talk/workshop speaker agrees to
Share the slides, code snippets and other material used during the talk
Title of the talk
Rolling with Python: A Deep Dive into Wheels
Description
in this talk will go deep-dive into wheels:
What format do you have in mind for your talk?
Talk
Table of contents
What domain would you say your talk falls under?
Core Python
Duration in minutes (including Q&A)
30 mins
Prerequisites
installation of any package manager.
Speaker X(Twitter): Account link (Optional)
x.com/abhiksark
Profile Picture
No response
Speaker bio
Abhik Sarkar is the Head of Machine Learning at Cloudastructure, Inc., where he creates computer vision solutions for security. Abhik is passionate about diving into the core of Python, exploring its nuances, and continually expanding his expertise.
The talk/workshop speaker agrees to
Share the slides, code snippets and other material used during the talk
If the talk is recorded, you grant the permission to release
the video on BangPyper's YouTube
channel
under CC-BY-4.0
license
Not do any hiring pitches during the talk and follow the Code
of
Conduct
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