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  • Book Overview & Buying Learning NumPy Array
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Learning NumPy Array

Learning NumPy Array

By : Ivan Idris
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Learning NumPy Array

Learning NumPy Array

4 (9)
By: Ivan Idris
Buy this Book

Overview of this book

Table of Contents (14 chapters)
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Learning NumPy Array
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Learning NumPy Array
Credits
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Credits
About the Author
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About the Author
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
Lock Free Chapter
1
Getting Started with NumPy
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Getting Started with NumPy
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Python
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Installing NumPy, Matplotlib, SciPy, and IPython on Windows
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Installing NumPy, Matplotlib, SciPy, and IPython on Linux
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Installing NumPy, Matplotlib, and SciPy on Mac OS X
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Building from source
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NumPy arrays
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Online resources and help
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Summary
2
NumPy Basics
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NumPy Basics
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The NumPy array object
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Creating a multidimensional array
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Selecting array elements
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NumPy numerical types
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Creating a record data type
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One-dimensional slicing and indexing
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Manipulating array shapes
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Creating views and copies
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Fancy indexing
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Indexing with a list of locations
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Indexing arrays with Booleans
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Stride tricks for Sudoku
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Broadcasting arrays
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Summary
3
Basic Data Analysis with NumPy
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Basic Data Analysis with NumPy
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Introducing the dataset
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Determining the daily temperature range
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Looking for evidence of global warming
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Comparing solar radiation versus temperature
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Analyzing wind direction
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Analyzing wind speed
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Analyzing precipitation and sunshine duration
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Analyzing monthly precipitation in De Bilt
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Analyzing atmospheric pressure in De Bilt
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Analyzing atmospheric humidity in De Bilt
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Summary
4
Simple Predictive Analytics with NumPy
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Simple Predictive Analytics with NumPy
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Examining autocorrelation of average temperature with pandas
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Describing data with pandas DataFrames
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Correlating weather and stocks with pandas
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Predicting temperature
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Analyzing intra-year daily average temperatures
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Introducing the day-of-the-year temperature model
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Modeling temperature with the SciPy leastsq function
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Day-of-year temperature take two
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Moving-average temperature model with lag 1
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The Autoregressive Moving Average temperature model
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The time-dependent temperature mean adjusted autoregressive model
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Outliers analysis of average De Bilt temperature
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Using more robust statistics
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Summary
5
Signal Processing Techniques
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Signal Processing Techniques
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Introducing the Sunspot data
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Moving averages
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Smoothing functions
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Forecasting with an ARMA model
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Filtering a signal
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Demonstrating cointegration
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Summary
6
Profiling, Debugging, and Testing
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Profiling, Debugging, and Testing
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Assert functions
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Profiling a program with IPython
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Debugging with IPython
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Performing Unit tests
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Nose tests decorators
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Summary
7
The Scientific Python Ecosystem
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The Scientific Python Ecosystem
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Numerical integration
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Interpolation
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Using Cython with NumPy
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Clustering stocks with scikit-learn
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Detecting corners
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Comparing NumPy to Blaze
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Summary
1
Index
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Index

Installing NumPy, Matplotlib, SciPy, and IPython on Linux

Installing NumPy and related recommended software on Linux depends on the distribution you have. We will discuss how you would install NumPy from the command line although you could probably use graphical installers; it depends on your distribution (distro). The commands to install Matplotlib, SciPy, and IPython are the same—only the package names are different. Installing Matplotlib, SciPy, and IPython is recommended, but optional.

Most Linux distributions have NumPy packages. We will go through the necessary steps for some of the popular Linux distros:

  • Run the following instructions from the command line for installing NumPy on Red Hat:

    yum install python-numpy

  • To install NumPy on Mandriva, run the following command-line instruction:

    urpmi python-numpy

  • To install NumPy on Gentoo, run the following command-line instruction:

    sudo emerge numpy

  • To install NumPy on Debian or Ubuntu, we need to type the following:

    sudo apt-get install python-numpy

The following table gives an overview of the Linux distributions and corresponding package names for NumPy, SciPy, Matplotlib, and IPython:

Linux distribution

NumPy

SciPy

Matplotlib

IPython

Arch Linux

python-numpy

python-scipy

python-matplotlib

ipython

Debian

python-numpy

python-scipy

python-matplotlib

ipython

Fedora

numpy

python-scipy

python-matplotlib

ipython

Gentoo

dev-python/numpy

scipy

matplotlib

ipython

OpenSUSE

python-numpy, python-numpy-devel

python-scipy

python-matplotlib

ipython

Slackware

numpy

scipy

matplotlib

ipython

CONTINUE READING
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Tech Concepts
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Programming languages
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