Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

T. SarkarProductive and Efficient Data Science with Pythonhttps://doi.org/10.1007/978-1-4842-8121-5_5

5. Modular and Productive Deep Learning Code

Tirthajyoti Sarkar¹  

(1)

Fremont, CA, USA

 

In the previous chapter, I explored the idea that most data scientists often come from a background that is quite far removed from traditional computer science/software engineering. Consequently, they produce code that is perfectly suitable for great exploratory data analysis, statistical modeling, or innovative ML experiments but not robust enough for the production phase of a large business platform. Data scientists often think in terms of the next analysis script but ...