NumPy Cookbook电子书

NumPy Cookbook

Table of Contents

NumPy Cookbook

Credits

About the Author

About the Reviewers

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Preface

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. Winding Along with IPython

Introduction

Installing IPython

How to do it...

How it works...

Using IPython as a shell

How to do it...

How it works...

Reading manual pages

How to do it...

How it works...

Installing Matplotlib

How to do it...

Running a web notebook

Getting ready

How to do it...

How it works...

See also

Exporting a web notebook

How to do it...

Importing a web notebook

How to do it...

Configuring a notebook server

How to do it...

How it works...

Exploring the SymPy profile

Getting ready

How to do it...

2. Advanced Indexing and Array Concepts

Introduction

Installing SciPy

Getting ready

How to do it...

How it works...

Installing PIL

How to do it...

Resizing images

Getting ready

How to do it...

How it works...

See also

Creating views and copies

Getting ready

How to do it...

How it works...

Flipping Lena

How to do it...

See also

Fancy indexing

How to do it...

How it works...

Indexing with a list of locations

How to do it...

Indexing with booleans

How to do it...

How it works...

See also

Stride tricks for Sudoku

How to do it...

How it works...

Broadcasting arrays

How to do it...

3. Get to Grips with Commonly Used Functions

Introduction

Summing Fibonacci numbers

How to do it...

How it works...

See also

Finding prime factors

How to do it...

How it works...

Finding palindromic numbers

How to do it...

How it works...

There's more...

The steady state vector determination

How to do it...

How it works...

See also

Discovering a power law

How to do it...

How it works...

See also

Trading periodically on dips

Getting ready

How to do it...

How it works...

See also

Simulating trading at random

Getting ready

How to do it...

How it works...

See also

Sieving integers with the Sieve of Erasthothenes

How to do it...

4. Connecting NumPy with the Rest of the World

Introduction

Using the buffer protocol

Getting ready

How to do it...

How it works...

See also

Using the array interface

Getting ready

How to do it...

How it works...

See also

Exchanging data with MATLAB and Octave

Getting ready

How to do it...

See also

Installing RPy2

How to do it...

Interfacing with R

Getting ready

How to do it...

See also

Installing JPype

How to do it...

Sending a NumPy array to JPype

How to do it...

How it works...

See also

Installing Google App Engine

How to do it...

Deploying NumPy code in the Google cloud

How to do it...

How it works...

Running NumPy code in a Python Anywhere web console

How to do it...

How it works...

Setting up PiCloud

How to do it...

How it works...

5. Audio and Image Processing

Introduction

Loading images into memory map

Getting ready

How to do it...

How it works...

See also

Combining images

Getting ready

How to do it...

How it works...

See also

Blurring images

How to do it...

How it works...

Repeating audio fragments

How to do it...

How it works...

Generating sounds

How to do it...

How it works...

Designing an audio filter

How to do it...

How it works...

Edge detection with the Sobel filter

How to do it...

How it works...

6. Special Arrays and Universal Functions

Introduction

Creating a universal function

How to do it...

How it works...

Finding Pythagorean triples

How to do it...

How it works...

Performing string operations with chararray

How to do it...

How it works...

Creating a masked array

How to do it...

How it works...

Ignoring negative and extreme values

How to do it...

How it works...

Creating a scores table with recarray

How to do it...

How it works...

7. Profiling and Debugging

Introduction

Profiling with timeit

How to do it...

How it works...

Profiling with IPython

How to do it...

How it works...

Installing line_profiler

Getting ready

How to do it...

See also

Profiling code with line_profiler

How to do it...

How it works...

Profiling code with the cProfile extension

How to do it...

Debugging with IPython

How to do it...

How to do it...

Debugging with pudb

How to do it...

8. Quality Assurance

Introduction

Installing Pyflakes

Getting ready

How to do it...

Performing static analysis with Pyflakes

How to do it...

How it works...

Analyzing code with Pylint

Getting ready

How to do it...

How it works...

See also

Performing static analysis with Pychecker

How to do it...

Testing code with docstrings

How to do it...

How it works...

Writing unit tests

How to do it...

How it works...

Testing code with mocks

How to do it...

How it works...

Testing the BDD way

How to do it…

How it works...

9. Speed Up Code with Cython

Introduction

Installing Cython

How to do it...

Building a Hello World program

How to do it...

How it works...

Using Cython with NumPy

How to do it...

How it works...

Calling C functions

How to do it...

How it works...

Profiling Cython code

How to do it...

How it works...

Approximating factorials with Cython

How to do it...

How it works...

10. Fun with Scikits

Introduction

Installing scikits-learn

Getting ready

How to do it...

Loading an example dataset

How to do it...

Clustering Dow Jones stocks with scikits-learn

How to do it...

How it works...

Installing scikits-statsmodels

How to do it...

Performing a normality test with scikits-statsmodels

How to do it...

How it works...

Installing scikits-image

How to do it...

Detecting corners

Getting ready

How to do it...

How it works...

Detecting edges

How to do it...

Installing Pandas

How to do it...

Estimating stock returns correlation with Pandas

How to do it...

How it works...

Loading data as pandas objects from statsmodels

Getting ready

How to do it...

How it works...

Resampling time series data

How to do it...

How it works...

Index