Python – Page 3 – Andrew Fairless, Ph.D.

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

What I Read: Make Python Code Fast

By Andrew Fairless on June 17, 2021June 7, 2021

https://www.kdnuggets.com/2021/06/make-python-code-run-incredibly-fast.html How to Make Python Code Run Incredibly FastIn this article, I have explained some tips and tricks to optimize and speed up Python code.By Pralabh Saxena, Software Developer “InContinue readingWhat I Read: Make Python Code Fast

What I Read: Conda Tips

By Andrew Fairless on May 26, 2021May 1, 2021

https://towardsdatascience.com/conda-essential-concepts-and-tricks-e478ed53b5b Conda: Essential Concepts and TipsFor beginners and experienced usersGiacomo VianelloMar 17 “I hope this gives you a hint of why conda is such an amazing tool. Let’s jump intoContinue readingWhat I Read: Conda Tips

What I Read: Exploiting machine learning pickle files

By Andrew Fairless on April 4, 2021March 21, 2021

https://blog.trailofbits.com/2021/03/15/never-a-dill-moment-exploiting-machine-learning-pickle-files/ Never a dill moment: Exploiting machine learning pickle filesMarch 15, 2021By Evan Sultanik “we discuss the underhanded antics that can occur simply from loading an untrusted pickle file orContinue readingWhat I Read: Exploiting machine learning pickle files

What I Read: 15 common coding mistakes data scientist make

By Andrew Fairless on March 28, 2021March 7, 2021

https://towardsdatascience.com/15-common-coding-mistakes-data-scientist-make-in-python-and-how-to-fix-them-7760467498af 15 common coding mistakes data scientist make in Python (and how to fix them)Gerold CsendesDec 1, 2020 “I gradually realized in my data science career that by applying softwareContinue readingWhat I Read: 15 common coding mistakes data scientist make

What I Read: Python Concurrency

By Andrew Fairless on March 25, 2021March 7, 2021

https://python.hamel.dev/concurrency/ Python NotesPython Concurrency: The Tricky Bits2020-02-05 concurrency An exploration of threads, processes, and coroutines in Python, with interesting examples that illuminate the differences between each.“I’ve found many data scientistsContinue readingWhat I Read: Python Concurrency

What I Read: Architectures for Modern Data Infrastructure

By Andrew Fairless on February 4, 2021January 10, 2021

https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/ Emerging Architectures for Modern Data Infrastructureby Matt Bornstein, Martin Casado, and Jennifer Li “We’re now starting to see the rise of massive, complex systems built around data – whereContinue readingWhat I Read: Architectures for Modern Data Infrastructure

What I Read: Software Tips for Data Science

By Andrew Fairless on February 2, 2021January 8, 2021

https://medium.com/swlh/software-engineering-tips-and-best-practices-for-data-science-5d85dbcf87fd Software Engineering Tips and Best Practices for Data ScienceWith great code comes great machine learningAhmed BesbesAug 28 “However, jupyter notebooks hide some serious pitfalls that may turn your codingContinue readingWhat I Read: Software Tips for Data Science

What I Read: ML For Python Developers

By Andrew Fairless on January 8, 2021December 23, 2020

https://medium.com/modern-nlp/10-great-ml-practices-for-python-developers-b089eefc18fc 10 Useful ML Practices For Python DevelopersFast bug-free codingPratik BhavsarFeb 26 “Since my start, I have made tremendous mistakes and thought of sharing what I see to be theContinue readingWhat I Read: ML For Python Developers

Tag: Python