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Mastering Numerical Computing with NumPy
Mastering Numerical Computing with NumPy

Mastering Numerical Computing with NumPy: Master scientific computing and perform complex operations with ease

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Profile Icon Umit Mert Cakmak Profile Icon Tiago Antao Profile Icon Mert Cuhadaroglu
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Jun 2018 248 pages 1st Edition
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Mastering Numerical Computing with NumPy

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Key benefits

  • • Grasp all aspects of numerical computing and understand NumPy
  • • Explore examples to learn exploratory data analysis (EDA), regression, and clustering
  • • Access NumPy libraries and use performance benchmarking to select the right tool

Description

NumPy is one of the most important scientific computing libraries available for Python. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts. Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system. By the end of this book, you will have become an expert in handling and performing complex data manipulations.

Who is this book for?

Mastering Numerical Computing with NumPy is for you if you are a Python programmer, data analyst, data engineer, or a data science enthusiast, who wants to master the intricacies of NumPy and build solutions for your numeric and scientific computational problems. You are expected to have familiarity with mathematics to get the most out of this book.

What you will learn

  • • Perform vector and matrix operations using NumPy
  • • Perform exploratory data analysis (EDA) on US housing data
  • • Develop a predictive model using simple and multiple linear regression
  • • Understand unsupervised learning and clustering algorithms with practical use cases
  • • Write better NumPy code and implement the algorithms from scratch
  • • Perform benchmark tests to choose the best configuration for your system

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 28, 2018
Length: 248 pages
Edition : 1st
Language : English
ISBN-13 : 9781788993357
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Languages :
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Product Details

Publication date : Jun 28, 2018
Length: 248 pages
Edition : 1st
Language : English
ISBN-13 : 9781788993357
Category :
Languages :
Tools :

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Table of Contents

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

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