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High-Performance Computing with Python 3.x

You're reading from High-Performance Computing with Python 3.x Get to grips with various techniques and tools to provide High-Performance Computing in Python 3.x

Product type Video

Published in Feb 2019

Publisher Packt

ISBN-13 9781789956252

Length 4hrs 12mins

Edition 1st Edition

Languages

Python

Tools

Dask

Concepts

Scientific Computing

Author (1):

Mohammed Kashif

View More author details

Table of Contents (8) Chapters

1. Getting Started with Faster and Efficient Python Code

2. Parallel Programming in Python FREE CHAPTER

3. Using NumPy and SciPy to Speedup Computations

4. Optimizing Python Code Using Cython

5. Speeding Up Your Python Code Using Numba

6. Distributed Computing Using Python

7. Distributed Programming Using Dask

8. Reactive Programming Using Python

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Authors (1)

Mohammed Kashif

Mohammed Kashif

Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he was working as a Python developer at Qualcomm. He completed his Master's degree in computer science from IIIT Delhi, with specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the higher-education industry.

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