By Ivan Idris
About This Book
- Written as a step by step advisor, this booklet goals to provide you a robust beginning in NumPy and breaks down its complicated library positive factors into basic tasks
- Perform excessive functionality calculations with fresh and effective NumPy code
- Analyze huge datasets with statistical services and execute advanced linear algebra and mathematical computations
Who This booklet Is For
This booklet is for the scientists, engineers, programmers, or analysts trying to find an outstanding, open resource mathematical library. wisdom of Python is believed. additionally, a few affinity, or not less than curiosity, in arithmetic and information is needed. in spite of the fact that, i've got supplied short factors and tips that could studying resources.
What you'll Learn
- Install NumPy, matplotlib, SciPy, and IPython on a number of working systems
- Use NumPy array gadgets to accomplish array operations
- Familiarize your self with standard NumPy functions
- Use NumPy matrices for matrix algebra
- Work with the NumPy modules to accomplish quite a few algebraic operations
- Test NumPy code with the numpy.testing module
- Plot basic plots, subplots, histograms, and extra with matplotlib
In state-of-the-art global of technology and expertise, it is all approximately pace and adaptability. by way of clinical computing, NumPy tops the record. NumPy offers you either pace and excessive productiveness. This ebook will stroll you thru NumPy with transparent, step by step examples and simply the correct amount of thought. The booklet makes a speciality of the basics of NumPy, together with array items, capabilities, and matrices, each one of them defined with useful examples. you'll then know about varied NumPy modules whereas appearing mathematical operations akin to calculating the Fourier rework, discovering the inverse of a matrix, and deciding upon eigenvalues, between many others. This publication is a one-stop strategy to understanding the fine details of the colossal NumPy library, empowering you to take advantage of its wide variety of mathematical positive factors to construct effective, high-speed programs.
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Additional info for NumPy: Beginner's Guide - Third Edition
NumPy: Beginner's Guide - Third Edition by Ivan Idris