data type – Andrew Fairless, Ph.D.

What I Read: How fast process CSV file

By Andrew Fairless on May 8, 2024March 7, 2024

https://datapythonista.me/blog/how-fast-can-we-process-a-csv-file How fast can we process a CSV fileMarc GarciaThu 22 February 2024 “…we’ll see in this blog post how to process a CSV file as fast as possible.”

What I Read: Accelerating PyTorch

By Andrew Fairless on September 6, 2023August 1, 2023

https://magazine.sebastianraschka.com/p/accelerating-pytorch-model-training Accelerating PyTorch Model TrainingUsing Mixed-Precision and Fully Sharded Data ParallelismSebastian Raschka, PhDJun 26, 2023 “…how to scale PyTorch model training with minimal code changes. The focus here is onContinue readingWhat I Read: Accelerating PyTorch

What I Read: Pandas Anti-Patterns

By Andrew Fairless on August 17, 2022July 18, 2022

https://www.aidancooper.co.uk/pandas-anti-patterns/ 4 Pandas Anti-Patterns to Avoid and How to Fix ThemAidan Cooper “This post highlights four common pandas anti-patterns and outlines a complementary set of techniques that you should useContinue readingWhat I Read: Pandas Anti-Patterns

What I Read: Against SQL

By Andrew Fairless on September 1, 2021August 17, 2021

https://scattered-thoughts.net/writing/against-sql/ Against SQLJamie BrandonLast updated 2021-07-09 “The core message that I want people to take away is that there is potentially a huge amount of value to be unlocked byContinue readingWhat I Read: Against SQL

What I Read: Building a Gigascale ML Feature Store

By Andrew Fairless on February 18, 2021January 18, 2021

https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/ Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and CompressionNovember 19, 2020 21 Minute Read Data, Machine Learning 36Arbaz Khan Zohaib Sibte Hassan “When aContinue readingWhat I Read: Building a Gigascale ML Feature Store

What I Read: Floating-Point and Deep Learning

By Andrew Fairless on January 18, 2021December 27, 2020

https://eigenfoo.xyz/floating-point-deep-learning/ Floating-Point Formats and Deep Learning “Floating-point format is not a crucial consideration in deep learning, but it can make a significant difference. What is floating-point, why should you (aContinue readingWhat I Read: Floating-Point and Deep Learning

What I Read: Strictly-Typed Schemas

By Andrew Fairless on December 14, 2020December 1, 2020

https://www.kdnuggets.com/2020/02/loving-memory-strictly-typed-schemas.html In Loving Memory of Strictly-Typed SchemasPrateek SanyalFeb 13 “Today, as I lead a team of highly skilled data engineers, it pains me to watch our sprints get crowded withContinue readingWhat I Read: Strictly-Typed Schemas

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