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NumPy Beginner's Guide. An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library. - Second Edition

Ivan Idris

Ebook

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.

NumPy Beginners Guide Second Edition
- Table of Contents
- Numpy Beginner's Guide Second Edition
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
  - Support files, eBooks, discount offers and more
    - Why Subscribe?
    - Free Access for Packt account holders
- Preface
  - What is NumPy?
  - History
  - Why use NumPy?
  - Limitations of NumPy
  - What this book covers
  - What you need for this book
  - Who this book is for
  - Conventions
  - Reader feedback
  - Customer support
    - Downloading the example code
    - Errata
    - Piracy
    - Questions
- 1. NumPy Quick Start
  - Python
  - Time for action installing Python on different operating systems
    - What just happened?
  - Windows
  - Time for action installing NumPy, Matplotlib, SciPy, and IPython on Windows
    - What just happened?
  - Linux
  - Time for action installing NumPy, Matplotlib, SciPy, and IPython on Linux
    - What just happened?
  - Mac OS X
  - Time for action installing NumPy, Matplotlib, and SciPy on Mac OS X
    - What just happened?
  - Time for action installing NumPy, SciPy, Matplotlib, and IPython with MacPorts or Fink
    - What just happened?
  - Building from source
  - Arrays
  - Time for action adding vectors
    - What just happened?
    - Pop quiz Functioning of the arange function
    - Have a go hero continue the analysis
  - IPythonan interactive shell
  - Online resources and help
  - Summary
- 2. Beginning with NumPy Fundamentals
  - NumPy array object
  - Time for action creating a multidimensional array
    - What just happened?
    - Pop quiz the shape of ndarray
    - Have a go hero create a three-by-three matrix
    - Selecting elements
    - NumPy numerical types
    - Data type objects
    - Character codes
    - dtype constructors
    - dtype attributes
  - Time for action creating a record data type
    - What just happened?
  - One-dimensional slicing and indexing
  - Time for action slicing and indexing multidimensional arrays
    - What just happened?
  - Time for action manipulating array shapes
    - What just happened?
    - Stacking
  - Time for action stacking arrays
    - What just happened?
    - Splitting
  - Time for action splitting arrays
    - What just happened?
    - Array attributes
  - Time for action converting arrays
    - What just happened?
  - Summary
- 3. Get in Terms with Commonly Used Functions
  - File I/O
  - Time for action reading and writing files
    - What just happened?
  - CSV files
  - Time for action loading from CSV files
    - What just happened?
  - Volume-weighted average price
  - Time for action calculating volume-weighted average price
    - What just happened?
    - The mean function
    - Time-weighted average price
    - Pop quiz computing the weighted average
    - Have a go hero calculating other averages
  - Value range
  - Time for action finding highest and lowest values
    - What just happened?
  - Statistics
  - Time for action doing simple statistics
    - What just happened?
  - Stock returns
  - Time for action analyzing stock returns
    - What just happened?
  - Dates
  - Time for action dealing with dates
    - What just happened?
    - Have a go hero looking at VWAP and TWAP
  - Weekly summary
  - Time for action summarizing data
    - What just happened?
    - Have a go hero improving the code
  - Average true range
  - Time for action calculating the average true range
    - What just happened?
    - Have a go hero taking the minimum function for a spin
  - Simple moving average
  - Time for action computing the simple moving average
    - What just happened?
  - Exponential moving average
  - Time for action calculating the exponential moving average
    - What just happened?
  - Bollinger bands
  - Time for action enveloping with Bollinger bands
    - What just happened?
    - Have a go hero switching to exponential moving average
  - Linear model
  - Time for action predicting price with a linear model
    - What just happened?
  - Trend lines
  - Time for action drawing trend lines
    - What just happened?
  - Methods of ndarray
  - Time for action clipping and compressing arrays
    - What just happened?
  - Factorial
  - Time for action calculating the factorial
    - What just happened?
  - Summary
- 4. Convenience Functions for Your Convenience
  - Correlation
  - Time for action trading correlated pairs
    - What just happened?
    - Pop quiz calculating covariance
  - Polynomials
  - Time for action fitting to polynomials
    - What just happened?
    - Have a go hero improving the fit
  - On-balance volume
  - Time for action balancing volume
    - What just happened?
  - Simulation
  - Time for action avoiding loops with vectorize
    - What just happened?
    - Have a go hero analyzing consecutive wins and losses
  - Smoothing
  - Time for action smoothing with the hanning function
    - What just happened?
    - Have a go hero smoothing variations
  - Summary
- 5. Working with Matrices and ufuncs
  - Matrices
  - Time for action creating matrices
    - What just happened?
  - Creating a matrix from other matrices
  - Time for action creating a matrix from other matrices
    - What just happened?
    - Pop quiz defining a matrix with a string
  - Universal functions
  - Time for action creating universal function
    - What just happened?
  - Universal function methods
  - Time for action applying the ufunc methods on add
    - What just happened?
  - Arithmetic functions
  - Time for action dividing arrays
    - What just happened?
    - Have a go hero experimenting with __future__.division
    - Modulo operation
  - Time for action computing the modulo
    - What just happened?
  - Fibonacci numbers
  - Time for action computing Fibonacci numbers
    - What just happened?
    - Have a go hero timing the calculations
  - Lissajous curves
  - Time for action drawing Lissajous curves
    - What just happened?
  - Square waves
  - Time for action drawing a square wave
    - What just happened?
    - Have a go hero getting rid of the loop
  - Sawtooth and triangle waves
  - Time for action drawing sawtooth and triangle waves
    - What just happened?
    - Have a go hero getting rid of the loop
  - Bitwise and comparison functions
  - Time for action twiddling bits
    - What just happened?
  - Summary
- 6. Move Further with NumPy Modules
  - Linear algebra
  - Time for action inverting matrices
    - What just happened?
    - Pop quiz creating a matrix
    - Have a go hero inverting your own matrix
  - Solving linear systems
  - Time for action solving a linear system
    - What just happened?
  - Finding eigenvalues and eigenvectors
  - Time for action determining eigenvalues and eigenvectors
    - What just happened?
  - Singular value decomposition
  - Time for action decomposing a matrix
    - What just happened?
  - Pseudoinverse
  - Time for action computing the pseudo inverse of a matrix
    - What just happened?
  - Determinants
  - Time for action calculating the determinant of a matrix
    - What just happened?
  - Fast Fourier transform
  - Time for action calculating the Fourier transform
    - What just happened?
  - Shifting
  - Time for action shifting frequencies
    - What just happened?
  - Random numbers
  - Time for action gambling with the binomial
    - What just happened?
  - Hypergeometric distribution
  - Time for action simulating a game show
    - What just happened?
  - Continuous distributions
  - Time for action drawing a normal distribution
    - What just happened?
  - Lognormal distribution
  - Time for action drawing the lognormal distribution
    - What just happened?
  - Summary
- 7. Peeking into Special Routines
  - Sorting
  - Time for action sorting lexically
    - What just happened?
    - Have a go hero trying a different sort order
  - Complex numbers
  - Time for action sorting complex numbers
    - What just happened?
    - Pop quiz generating random numbers
  - Searching
  - Time for action using searchsorted
    - What just happened?
  - Array elements' extraction
  - Time for action extracting elements from an array
    - What just happened?
  - Financial functions
  - Time for action determining future value
    - What just happened?
  - Present value
  - Time for action getting the present value
    - What just happened?
  - Net present value
  - Time for action calculating the net present value
    - What just happened?
  - Internal rate of return
  - Time for action determining the internal rate of return
    - What just happened?
  - Periodic payments
  - Time for action calculating the periodic payments
    - What just happened?
  - Number of payments
  - Time for action determining the number of periodic payments
    - What just happened?
  - Interest rate
  - Time for action figuring out the rate
    - What just happened?
  - Window functions
  - Time for action plotting the Bartlett window
    - What just happened?
  - Blackman window
  - Time for action smoothing stock prices with the Blackman window
    - What just happened?
  - Hamming window
  - Time for action plotting the Hamming window
    - What just happened?
  - Kaiser window
  - Time for action plotting the Kaiser window
    - What just happened?
  - Special mathematical functions
  - Time for action plotting the modified Bessel function
    - What just happened?
  - sinc
  - Time for action plotting the sinc function
    - What just happened?
  - Summary
- 8. Assure Quality with Testing
  - Assert functions
  - Time for action asserting almost equal
    - What just happened?
    - Pop quiz specifying decimal precision
  - Approximately equal arrays
  - Time for action asserting approximately equal
    - What just happened?
  - Almost equal arrays
  - Time for action asserting arrays almost equal
    - What just happened?
    - Have a go hero comparing array with different shapes
  - Equal arrays
  - Time for action comparing arrays
    - What just happened?
  - Ordering arrays
  - Time for action checking the array order
    - What just happened?
  - Objects comparison
  - Time for action comparing objects
    - What just happened?
  - String comparison
  - Time for action comparing strings
    - What just happened?
  - Floating point comparisons
  - Time for action comparing with assert_array_almost_equal_nulp
    - What just happened?
  - Comparison of floats with more ULPs
  - Time for action comparing using maxulp of 2
    - What just happened?
  - Unit tests
  - Time for action writing a unit test
    - What just happened?
  - Nose tests decorators
  - Time for action decorating tests
    - What just happened?
  - Docstrings
  - Time for action executing doctests
    - What just happened?
  - Summary
- 9. Plotting with Matplotlib
  - Simple plots
  - Time for action plotting a polynomial function
    - What just happened?
    - Pop quiz the plot function
  - Plot format string
  - Time for action plotting a polynomial and its derivative
    - What just happened?
  - Subplots
  - Time for action plotting a polynomial and its derivatives
    - What just happened?
  - Finance
  - Time for action plotting a years worth of stock quotes
    - What just happened?
  - Histograms
  - Time for action charting stock price distributions
    - What just happened?
    - Have a go hero drawing a bell curve
  - Logarithmic plots
  - Time for action plotting stock volume
    - What just happened?
  - Scatter plots
  - Time for action plotting price and volume returns with scatter plot
    - What just happened?
  - Fill between
  - Time for action shading plot regions based on a condition
    - What just happened?
  - Legend and annotations
  - Time for action using legend and annotations
    - What just happened?
  - Three dimensional plots
  - Time for action plotting in three dimensions
    - What just happened?
  - Contour plots
  - Time for action drawing a filled contour plot
    - What just happened?
  - Animation
  - Time for action animating plots
    - What just happened?
  - Summary
- 10. When NumPy is Not Enough SciPy and Beyond
  - MATLAB and Octave
  - Time for action saving and loading a .mat file
    - What just happened?
    - Pop quiz loading .mat files
  - Statistics
  - Time for action analyzing random values
    - What just happened?
    - Have a go hero improving the data generation
  - Samples comparison and SciKits
  - Time for action comparing stock log returns
    - What just happened?
  - Signal processing
  - Time for action detecting a trend in QQQ
    - What just happened?
  - Fourier analysis
  - Time for action filtering a detrended signal
    - What just happened?
  - Mathematical optimization
  - Time for action fitting to a sine
    - What just happened?
  - Numerical integration
  - Time for action calculating the Gaussian integral
    - What just happened?
  - Interpolation
  - Time for action interpolating in one dimension
    - What just happened?
  - Image processing
  - Time for action manipulating Lena
    - What just happened?
  - Audio processing
  - Time for action replaying audio clips
    - What just happened?
  - Summary
- 11. Playing with Pygame
  - Pygame
  - Time for action installing Pygame
  - Hello World
  - Time for action creating a simple game
    - What just happened?
  - Animation
  - Time for action animating objects with NumPy and Pygame
    - What just happened?
  - Matplotlib
  - Time for action using Matplotlib in Pygame
    - What just happened?
  - Surface pixels
  - Time for action accessing surface pixel data with NumPy
    - What just happened?
  - Artificial intelligence
  - Time for action clustering points
    - What just happened?
  - OpenGL and Pygame
  - Time for action drawing the Sierpinski gasket
    - What just happened?
  - Simulation game with PyGame
  - Time for action simulating life
    - What just happened?
  - Summary
- A. Pop Quiz Answers
  - Chapter 1, NumPy Quick Start
  - Chapter 2, Beginning with NumPy Fundamentals
  - Chapter 3, Get into Terms with Commonly Used Functions
  - Chapter 4, Convenience functions for your convenience
  - Chapter 5, Working with Matrices and ufuncs
  - Chapter 6, Move further with NumPy modules
  - Chapter 7, Peeking into special routines
  - Chapter 8, Assure Quality with Testing
  - Chapter 9, Plotting with Matplotlib
  - Chapter 10, When NumPy is not enough Scipy and beyond
- Index

Tytuł: NumPy Beginner's Guide. An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library. - Second Edition
Autor: Ivan Idris
Tytuł oryginału: NumPy Beginner's Guide. An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library. - Second Edition
ISBN: 9781782166092, 9781782166092
Data wydania: 2013-04-25
Format: Ebook
Identyfikator pozycji: e_3cnf
Wydawca: Packt Publishing

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