# NumPy Beginner's Guide - Second Edition

 Learn Install NumPy NumPy arrays Universal functions NumPy matrices NumPy modules Plot with Matplotlib Test NumPy code Relation to SciPy NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source. Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source NumPy software library. Learn all the ins and outs of NumPy that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using NumPy and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all. Perform high performance calculations with clean and efficient NumPy code. Analyze large data sets with statistical functions Execute complex linear algebra and mathematical computations 310 9 hours 18 minutes 9781782166085 24 Apr 2013
 Correlation Time for action – trading correlated pairs Polynomials Time for action – fitting to polynomials On-balance volume Time for action – balancing volume Simulation Time for action – avoiding loops with vectorize Smoothing Time for action – smoothing with the hanning function Summary