Ebook: NumPy Beginner's Guide

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 -- calculating the exponential moving average; Bollinger Bands; Time for action -- enveloping with Bollinger bands; Linear model; Time for action -- predicting price with a linear model; Trend lines; Time for action -- drawing trend lines; Methods of ndarray.;Time for action -- clipping and compressing arrays.;Time for action -- deciding with the if statementThe for loop; Time for action -- repeating instructions with loops; Python functions; Time for action -- defining functions; Python modules; Time for action -- importing modules; NumPy on Windows; Time for action -- installing NumPy, matplotlib, SciPy, and IPython on Windows; NumPy on Linux; Time for action -- installing NumPy, matplotlib, SciPy, and IPython on Linux; NumPy on Mac OS X; Time for action -- installing NumPy, SciPy, matplotlib, and IPython with MacPorts or Fink; Building from source; Arrays; Time for action -- adding vectors.;IPython -- an interactive shellOnline resources and help; Summary; Chapter 2: Beginning with NumPy Fundamentals; NumPy array object; Time for action -- creating a multidimensional array; Selecting elements; NumPy numerical types; Data type objects; Character codes; The dtype constructors; The dtype attributes; Time for action -- creating a record data type; One-dimensional slicing and indexing; Time for action -- slicing and indexing multidimensional arrays; Time for action -- manipulating array shapes; Time for action -- stacking arrays; Time for action -- splitting arrays.;This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources;Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: NumPy Quick Start; Python; Time for action -- installing Python on different operating systems; The Python help system; Time for action -- using the Python help system; Basic arithmetic and variable assignment; Time for action -- using Python as a calculator; Time for action -- assigning values to variables; The print() function; Time for action -- printing with the print() function; Code comments; Time for action -- commenting code; The if statement.;Time for action -- converting arraysSummary; Chapter 3: Getting Familiar with Commonly Used Functions; File I/O; Time for action -- reading and writing files; Comma Separated Values files; Time for action -- loading from CSV files; Volume Weighted Average Price; Time for action -- calculating volume weighted average price; The mean() function; Time-weighted average price; Value range; Time for action -- finding highest and lowest values; Statistics; Time for action -- doing simple statistics; Stock returns; Time for action -- analyzing stock returns; Dates; Time for action -- dealing with dates.