Productive and Efficient Data Science with Python

Productive and Efficient Data Science with Python

With Modularizing, Memory profiles, and Parallel/GPU Processing

Sarkar, Tirthajyoti

APress

07/2022

383

Mole

Inglês

9781484281208

15 a 20 dias

773

Descrição não disponível.

Chapter 1: What is Productive and Efficient Data Science.- Chapter 2: Better Programming Principles for Efficient Data Science.- Chapter 3: How to Use Python Data Science Packages more Productively.- Chapter 4: Writing Machine Learning Code More Productively.- Chapter 5: Modular and Productive Deep Learning Code.- Chapter 6: Build Your Own Machine Learning Estimator/Package.- Chapter 7: Some Cool Utility Packages.- Chapter 8: Testing the Machine Learning Code.- Chapter 9: Memory and Timing Profiling.- Chapter 10: Scalable Data Science.- Chapter 11: Parallelized Data Science.- Chapter 12: GPU-Based Data Science for High Productivity.- Chapter 13: Other Useful Skills to Master.- Chapter 14: Wrapping It Up.

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Data Science;Python;Machine Learning;Data Science Pipeline;High Performance Computing;Parallel Processing;Object Oriented Programming;Numpy;Pandas;Matplotlib;Seaborn;Keras;Scikit-Learn