Packt is pleased to announce the release of its new book Learning NumPy Array , a step-by-step guide that gives readers a comprehensive overview of NumPy. The book has 165 pages and costs $26.99, and is now available in all the popular eBook formats for $16.99.
About the Author:
Ivan Idris pursued an MSc in experimental physics and his main area of interest is applied computer science. His areas of expertise include Java development, Business Intelligence, big data, and cloud computing. Ivan enjoys coding, writing technical articles, and has also authored The NumPy 1.5 Beginner's Guide and NumPy Cookbook.
NumPy is an essential package to use for any scientific computing with Python. It can also be used as an efficient multidimensional container of generic data that allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Learning NumPy Array will enable readers to write efficient code that is closely associated with mathematics. The book starts from the installation of NumPy, and progresses on to various scientific computing projects.
This book is ideal for programmers, scientists, and engineers with basic Python computational knowledge. It will also help readers analyze large data to enhance the performance of calculations with clean NumPy code.
Learning NumPy Array covers the following topics:
Chapter 1: Getting Started with NumPy
Chapter 2: NumPy Basics
Chapter 3: Basic Data Analysis with NumPy
Chapter 4: Simple Predictive Analytics with NumPy
Chapter 5: Signal Processing Techniques
Chapter 6: Profiling, Debugging, and Testing
Chapter 7: The Scientific Python Ecosystem
Packt is one of the most prolific and fastest-growing tech book publishers in the world. Originally focused on open source software, Packt books now focus on practicality, recognizing that readers are ultimately concerned with getting the job done. Packt’s digitally-focused business model allows them to publish up-to-date books in very specific areas.
|A focused guide to enhance your python computation skills with the Numpy library