# NumPy 1.5 Beginner's Guide

 Learn Installing NumPy Learn to load arrays from files and write arrays to files Work with universal functions Create NumPy matrices Use basic modules that NumPy offers Write unit tests for NumPy code Plot mathematical NumPy results with Matplotlib Integrate with Scipy, a high level Python scientific computing framework built on top of NumPy In today's world of science and technology, the hype is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy is the fundamental package needed for scientific computing with Python. NumPy will give you both speed and high productivity. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.NumPy 1.5 Beginner's Guide will teach you about NumPy from scratch. It includes everything from installation, functions, matrices, and modules to testing, all explained with appropriate examples. Numpy 1.5 Beginner's Guide will teach you about installing and using NumPy and related concepts. This book will give you a solid foundation in NumPy arrays and universal functions. At the end of the book, we will explore related scientific computing projects such as Matplotlib for plotting and the SciPy project through examples. NumPy 1.5 Beginner's Guide will help you be productive with NumPy and write clean and fast code. The first and only book that truly explores NumPy practically Perform high performance calculations with clean and efficient NumPy code Analyze large data sets with statistical functions Execute complex linear algebra and mathematical computations 234 7 hours 1 minutes 9781849515306 8 Nov 2011
 Correlation Time for action – trading correlated pairs Polynomials Time for action – fitting to polynomials On-balance volume Time for action – balancing volume The mode Time for action – determining the mode of stock returns Simulation Time for action – avoiding loops with vectorize Smoothing Time for action – smoothing with the hanning function Summary