NumPy Essentials
| By: | Jaidev Deshpande |
| Publisher: | Packt Publishing |
| Print ISBN: | 9781784393670 |
| eText ISBN: | 9781784392185 |
| Edition: | 1 |
| Copyright: | 2016 |
| Format: | Reflowable |
Lifetime - $31.19
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Details
Table of Contents
Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy
Key Features
- [*] Optimize your Python scripts with powerful NumPy modules
- [*] Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself
- [*] Packed with rich examples to help you master NumPy arrays and universal functions
Book Description
In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus 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; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.What you will learn
- [*] Manipulate the key attributes and universal functions of NumPy
- [*] Utilize matrix and mathematical computation using linear algebra modules
- [*] Implement regression and curve fitting for models
- [*] Perform time frequency / spectral density analysis using the Fourier Transform modules
- [*] Collate with the distutils and setuptools modules used by other Python libraries
- [*] Establish Cython with NumPy arrays
- [*] Write extension modules for NumPy code using the C API
- [*] Build sophisticated data structures using NumPy array with libraries such as Panda and Scikits