Python – Page 2 – Andrew Fairless, Ph.D.

What I Read: SciPy builds for Python 3.12

By Andrew Fairless on January 25, 2024November 20, 2023

https://labs.quansight.org/blog/building-scipy-with-flang The ‘eu’ in eucatastrophe – Why SciPy builds for Python 3.12 on Windows are a minor miracleAxel ObermeierPublished November 8, 2023 “…behind the ordinary-seeming “SciPy released builds compatible withContinue readingWhat I Read: SciPy builds for Python 3.12

What I Read: Composable Data Systems

By Andrew Fairless on October 19, 2023September 9, 2023

https://wesmckinney.com/blog/looking-back-15-years/ The Road to Composable Data Systems: Thoughts on the Last 15 Years and the FutureWes McKinneySeptember 1, 2023 “Julien Le Dem… coined the term “deconstructed database” to describe theContinue readingWhat I Read: Composable Data Systems

What I Read: speed up Python with Rust

By Andrew Fairless on August 24, 2023July 30, 2023

https://pythonspeed.com/articles/easiest-rust-python/ The easiest way to speed up Python with RustItamar Turner-Trauring7/9/23 8:00 PM “If you want to speed up some existing Python code, writing a compiled extension in Rust canContinue readingWhat I Read: speed up Python with Rust

What I Read: When NumPy slow

By Andrew Fairless on August 15, 2023July 9, 2023

https://pythonspeed.com/articles/numpy-is-slow/ When NumPy is too slowby Itamar Turner-TrauringLast updated 27 Jun 2023, originally created 27 Jun 2023 “What should you do when your NumPy-based code is too slow?”

What I Read: speed up Numba and NumPy

By Andrew Fairless on August 1, 2023June 15, 2023

https://pythonspeed.com/articles/speeding-up-numba/ Understanding CPUs can help speed up Numba and NumPy codeby Itamar Turner-TrauringLast updated 08 Jun 2023, originally created 07 Jun 2023 “In practice, your initial Numba code may beContinue readingWhat I Read: speed up Numba and NumPy

What I Read: Competitive Machine Learning

By Andrew Fairless on May 9, 2023March 30, 2023

https://mlcontests.com/state-of-competitive-machine-learning-2022/ The State of Competitive Machine Learning2022 Edition “We summarise the state of the competitive landscape and analyse the 200+ competitions that took place in 2022. Plus a deep diveContinue readingWhat I Read: Competitive Machine Learning

What I Read: Structural pattern matching, Python

By Andrew Fairless on October 19, 2022September 9, 2022

https://benhoyt.com/writings/python-pattern-matching/ Structural pattern matching in Python 3.10Ben HoytSeptember 2021 “Part of what I want to do here is evaluate some real code and see how much (or little) pattern matchingContinue readingWhat I Read: Structural pattern matching, Python

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: Engineering Trade-Offs in Automatic Differentiation

By Andrew Fairless on March 8, 2022January 20, 2022

https://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/ Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and JuliaDecember 25 2021Author: Christopher Rackauckas “To understand the differences between automatic differentiation libraries, let’s talk about theContinue readingWhat I Read: Engineering Trade-Offs in Automatic Differentiation

What I Read: How troubleshoot memory problems in Python

By Andrew Fairless on July 13, 2021June 22, 2021

https://innovation.alteryx.com/how-to-troubleshoot-memory-problems-in-python/ How to troubleshoot memory problems in PythonFreddy BoultonJun 16, 2021 “Memory problems are hard to diagnose and fix in general, but I’d argue it’s even harder in Python. Python’sContinue readingWhat I Read: How troubleshoot memory problems in Python

Tag: Python