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

What I Read: I Like Notebooks

By Andrew Fairless on August 17, 2021July 22, 2021

https://youtu.be/9Q6sLbz37gk I Like NotebooksOct 28, 2020Jeremy Howard “I like using Jupyter Notebooks… Particularly when combined with nbdev… In this video, I explain why, and explain why I have a differentContinue readingWhat I Read: I Like Notebooks

What I Read: Data Scientists Need to Know How to Code

By Andrew Fairless on July 5, 2021June 22, 2021

https://www.kdnuggets.com/2021/06/data-scientists-need-know-code.html Data Scientists, You Need to Know How to CodeBy Tyler Folkman, Head of AI at Branded Entertainment Network “You write tons of code in Jupyter notebooks, hundreds of lines,Continue readingWhat I Read: Data Scientists Need to Know How to Code

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: Object-Oriented Programming Disaster

By Andrew Fairless on April 27, 2021April 10, 2021

https://betterprogramming.pub/object-oriented-programming-the-trillion-dollar-disaster-92a4b666c7c7 Object-Oriented Programming — The Trillion Dollar DisasterWhy it’s time to move on from OOPIlya SuzdalnitskiJul 10, 2019 “Object-Oriented Programming has been created with one goal in mind — toContinue readingWhat I Read: Object-Oriented Programming Disaster

What I Read: Software Engineering Best Practices for Data Scientists

By Andrew Fairless on April 13, 2021April 2, 2021

https://towardsdatascience.com/software-engineering-best-practices-for-data-scientists-4c199ede6e03?gi=f6afc2a55c8a Software Engineering Best Practices for Data ScientistsA crash course on how to bridge the gap between data science and software engineeringMadison HunterMar 12 “…data scientists should be able toContinue readingWhat I Read: Software Engineering Best Practices for Data Scientists

What I Read: My Love / Hate Relationship With Jupyter

By Andrew Fairless on April 12, 2021April 2, 2021

https://kaskada.com/insights/my-love-hate-relationship-with-jupyter My Love / Hate Relationship With Jupyterby Max BoydBlog | A week ago | 6 — 8 mins “As a Data Scientist, I haven’t found something that fits myContinue readingWhat I Read: My Love / Hate Relationship With Jupyter

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: Essential data science skills

By Andrew Fairless on February 10, 2021January 13, 2021

https://towardsdatascience.com/essential-data-science-skills-that-no-one-talks-about-74bca9ec4892 Essential data science skills that no one talks about.Old fashioned engineering skills are what you need to boost your data science careerMichael KolomenkinOct 19 “I want to talk aboutContinue readingWhat I Read: Essential data science skills

What I Read: Coding habits for data scientists

By Andrew Fairless on December 22, 2020December 9, 2020

https://www.thoughtworks.com/insights/blog/coding-habits-data-scientists 21 Oct 2019Coding habits for data scientistsDavid TanDeveloper “If you’ve tried your hand at machine learning or data science, you know that code can get messy, quickly…. While thisContinue readingWhat I Read: Coding habits for data scientists

Tag: programming