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Mastering Numerical Computing with NumPy

You're reading from  Mastering Numerical Computing with NumPy

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781788993357
Pages 248 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Umit Mert Cakmak Umit Mert Cakmak
Profile icon Umit Mert Cakmak
LinkedIn
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.
See other products by Umit Mert Cakmak
Tiago Antao Tiago Antao
Profile icon Tiago Antao
LinkedIn
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.
See other products by Tiago Antao
Mert Cuhadaroglu Mert Cuhadaroglu
Profile icon Mert Cuhadaroglu
LinkedIn
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.
See other products by Mert Cuhadaroglu
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Table of Contents (11) Chapters

Preface Working with NumPy Arrays Linear Algebra with NumPy Exploratory Data Analysis of Boston Housing Data with NumPy Statistics Predicting Housing Prices Using Linear Regression Clustering Clients of a Wholesale Distributor Using NumPy NumPy, SciPy, Pandas, and Scikit-Learn Advanced Numpy Overview of High-Performance Numerical Computing Libraries Performance Benchmarks Other Books You May Enjoy

Loading and saving files

In this section, you will learn how to load/import your data and save it. There are many different ways of loading data, and the right way depends on your file type. You can load/import text files, SAS/Stata files, HDF5 files, and many others. HDF (Hierarchical Data Format) is one of the popular data formats which is used to store and organize large amounts of data and it is very useful while working with a multidimensional homogeneous arrays. For example, Pandas library has a very handy class named as HDFStore where you can easily work with HDF5 files. While working on data science projects, you will most likely see many of these types of files, but in this book, we will cover the most popular ones, such as NumPy binary files, text files (.txt), and comma-separated values (.csv) files.

If you have a large dataset in memory and on disk to manage, you can...

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Authors (3)

Left arrow icon
Profile icon Umit Mert Cakmak
LinkedIn
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.
See other products by Umit Mert Cakmak
Profile icon Tiago Antao
LinkedIn
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
See other products by Tiago Antao
Profile icon Mert Cuhadaroglu
LinkedIn
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.
See other products by Mert Cuhadaroglu
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