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Real-Real-World Programming with ChatGPT

O'Reilly on Data

These posts often recount someone trying ChatGPT or Copilot for the first time with a few simple prompts, seeing how it does for some small self-contained coding tasks, and then making sweeping claims like “WOW this exceeded all my highest hopes and wildest dreams, it’s going to replace all programmers in five years!”

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Ray for Data Science: Distributed Python tasks at scale

Domino Data Lab

They were expert Python programmers, but they didn’t want to spend lots of time and energy using most toolkits available. Out of this need emerged Ray , an open-source system for scaling Python (and now Java) applications from single machines to large clusters. start = time.time() # How long will this take? 1.511 seconds).

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The importance of structure, coding style, and refactoring in notebooks

Domino Data Lab

Notebooks are increasingly crucial in the data scientist’s toolbox. Although considered relatively new, their history traces back to systems like Mathematica and MATLAB. For Data Scientists, spinning up notebook instances as the first step in exploratory data analysis has become second nature. Notebook Structure.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. Introduction.