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You're reading from  Mastering Numerical Computing with NumPy

Product typeBook
Published inJun 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788993357
Edition1st Edition
Languages
Python
Tools
NumPy
Concepts
Scientific Computing
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Authors (3):
Umit Mert Cakmak
Umit Mert Cakmak
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Umit Mert Cakmak

Umit Mert Cakmak is a data scientist at IBM, where he excels at helping clients solve complex data science problems, from inception to delivery of deployable assets. His research spans multiple disciplines beyond his industry and he likes sharing his insights at conferences, universities, and meet-ups.
Read more about Umit Mert Cakmak

Tiago Antao
Tiago Antao
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Tiago Antao

Tiago Antao is a bioinformatician currently working in the field of genomics. A former computer scientist, Tiago moved into computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University of Porto (Portugal) and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine (UK). Postdoctoral, Tiago has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequencing data at the University of Oxford (UK), before helping to set up the bioinformatics infrastructure at the University of Montana. He currently works as a data engineer in the biotechnology field in Boston, MA. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.
Read more about Tiago Antao

Mert Cuhadaroglu
Mert Cuhadaroglu
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Mert Cuhadaroglu

Mert Cuhadaroglu is a BI Developer in EPAM, developing E2E analytics solutions for complex business problems in various industries, mostly investment banking, FMCG, media, communication, and pharma. He consistently uses advanced statistical models and ML algorithms to provide actionable insights. Throughout his career, he has worked in several other industries, such as banking and asset management. He continues his academic research in AI for trading algorithms.
Read more about Mert Cuhadaroglu

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Summary

In this chapter, you have explored various low-level libraries that can be paired with NumPy, as well as their configuration. We have deliberately run through the EC2 provision so that you can get familiar with basic Linux command line operations. You have also investigated various compute-intensive, numerical, linear algebra operations that you will use to benchmark different configurations in the next chapter.

In the next chapter, we will create a benchmark python script to be run on each configuration. You will be able to see the performance metrics for different linear algebra operations and different sizes of matrices

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Mastering Numerical Computing with NumPy
Published in: Jun 2018Publisher: PacktISBN-13: 9781788993357
© 2018 Packt Publishing Limited All Rights Reserved

Authors (3)

author image
Umit Mert Cakmak

Umit Mert Cakmak is a data scientist at IBM, where he excels at helping clients solve complex data science problems, from inception to delivery of deployable assets. His research spans multiple disciplines beyond his industry and he likes sharing his insights at conferences, universities, and meet-ups.
Read more about Umit Mert Cakmak

author image
Tiago Antao

Tiago Antao is a bioinformatician currently working in the field of genomics. A former computer scientist, Tiago moved into computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University of Porto (Portugal) and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine (UK). Postdoctoral, Tiago has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequencing data at the University of Oxford (UK), before helping to set up the bioinformatics infrastructure at the University of Montana. He currently works as a data engineer in the biotechnology field in Boston, MA. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.
Read more about Tiago Antao

author image
Mert Cuhadaroglu

Mert Cuhadaroglu is a BI Developer in EPAM, developing E2E analytics solutions for complex business problems in various industries, mostly investment banking, FMCG, media, communication, and pharma. He consistently uses advanced statistical models and ML algorithms to provide actionable insights. Throughout his career, he has worked in several other industries, such as banking and asset management. He continues his academic research in AI for trading algorithms.
Read more about Mert Cuhadaroglu

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