In todays world of science and technology, its all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy will give you both speed and high productivity. This book will walk you through NumPy with clear, step-by-step examples and just the right amount of theor
NumPy Beginners Guide
โ Scribed by Ivan Idris
- Publisher
- Packt Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 348
- Edition
- 3rd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
In todays world of science and technology, its all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy will give you both speed and high productivity. This book will walk you through NumPy with clear, step-by-step examples and just the right amount of theory. The book focuses on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier transform, finding the inverse of a matrix, and determining eigenvalues, among many others. This book is a one-stop solution to knowing the ins and outs of the vast NumPy library, empowering you to use its wide range of mathematical features to build efficient, high-speed programs.
๐ SIMILAR VOLUMES
<p>An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library</p> <p><b>Overview</b></p> <ul> <li>Perform high performance calculations with clean and efficient NumPy code</li> <li>Analyze large data sets with statistical functi
<p>An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library</p> <p><b>Overview</b></p> <ul> <li>Perform high performance calculations with clean and efficient NumPy code</li> <li>Analyze large data sets with statistical functi
Time for action -- using the datetime64 data typeWeekly summary; Time for action -- summarizing data; Average True Range; Time for action -- calculating the average true range; Simple Moving Average; Time for action -- computing the simple moving average; Exponential Moving Average; Time for action
NumPy quick start -- Beginning with NumPy fundementals -- Get in terms with commonly used functions -- Convenience functions for your convenience -- Working with matrices and ufuncs -- Move further with NumPy modules -- Peeking into special rountines -- Assure quality with testing -- Plotting with M