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Table of Contents:

• Machine generated contents note: ch. 1 Navigating the World of Data Visualization
• Gathering Data
• Case Study: GPS Data
• Scanning Serial Ports
• Recording GPS Data
• Data Organization
• File Format
• File Naming Conventions
• Data Location
• Data Analysis
• Walking Directories
• Reading CSV Files
• Analyzing GPS Data
• Extracting GPS Data
• Data Visualization
• GPS Location Plot
• Annotating the Graph
• Velocity Plot
• Subplots
• Text

• Tying It All Together
• Final Notes and References
• ch. 2 Environment
• Tools of the Trade
• Operating Systems
• GNU/Linux
• Windows
• Choosing an Operating System
• Then Again, Why Choose? Using Several Operating Systems
• Python Environment
• Versions
• Python
• Python Integrated Development Environments
• Scientific Computing
• Manually Installing a Python Package
• Installation Summary
• Additional Applications
• Editors
• Short List of Text Editors
• Spreadsheets
• Word Processors
• Image Viewers
• Version-Control Systems
• Licensing
• Final Notes and References
• ch. 3 Python for Programmers
• Building Blocks
• What Is Python?
• Interactive Python
• Invoking Python
• Entering Commands
• Interactive Help System
• Moving Around
• Running Scripts
• Data Types
• Numbers
• Strings
• Booleans
• Data Structures
• Lists
• Tuples
• Dictionaries
• Sets
• Variables
• Statements
• Printing
• User Input
• Comments
• Flow Control
• Some Built-in Functions
• Defining Functions
• Generators
• Generator Expressions
• Object-Oriented Programming
• Modules and Packages
• import Statement
• Modules Installed in a System
• dir Statement
• Final Notes and References
• ch. 4 Data Organization
• Organizing Chaos
• File Name Conventions
• Date and Time in a File Name
• Useful File Name Titles
• File Name Extensions
• File Name Convention Recap
• Other Schemes
• File Formats
• CSV File Format
• Binary Files
• Readme Files
• INI Files
• XML and Other Formats
• Locating Data Files
• Organization into Directories
• Searching for Files
• Indexing
• Catalogs
• Files vs. a Database
• Final Notes and References
• ch. 5 Processing Text Files
• Text Is Everywhere
• Text and Strings
• Splitting Text
• Joining Strings
• Converting Strings to Numbers
• Find and Replace
• Stripping Strings
• String Formatting
• String Conditionals
• More on Strings
• Files
• Opening a File
• Closing a File
• Writing Text
• Reading Text
• Working with Text Files
• Example: Character, Word, and Line Count
• Example: head and tail
• Example: Splitting and Combining Files
• Example: Searching Inside a Text File
• Example: Working with Comments
• Example: Extracting Numbers from a Text File
• CSV Files
• csv Module
• csv.reader Object
• csv.writer Object
• More CSV Functionality
• DictReader and DictWriter Objects
• Date and Time
• Time Module
• struct_time Tuple
• Parsing and Formatting Date and Time
• Epoch: "Linearizing" the Time Base
• Additional Time and Date Functions
• Regular Expressions
• Regular Expression Patterns
• Special Sequences
• Alternatives
• Ranges
• When to Use Regular Expressions
• Internationalization and Localization
• Locale
• Unicode Strings
• Final Notes and References
• ch. 6 Graphs and Plots
• Visualizing Data
• matplotlib Package
• Interactive Graphs vs. Image Files
• Interactive Graphs
• Savings Graphs to Files
• Plotting Graphs
• Lines and Markers
• Plotting Several Graphs on One Figure
• Line Widths and Marker Sizes
• Colors
• Controlling the Graph
• Axis
• Grid and Ticks
• Subplots
• Erasing the Graph
• Adding Text
• Title
• Axis Labels and Legend
• Text Rendering
• Mathematical Symbols and Expressions
• More Graph Types
• Bar Charts
• Histograms
• Pie Charts
• Logarithmic Plots
• Polar Plots
• Stem Plots
• Additional Graphs
• Getting and Setting Values
• Setting Figure and Axis Parameters
• Patches
• Example: Adding Arrows to a Graph
• Example: Some Other Patches
• 3D Plots
• Basemap Toolkit
• Example: French Airports
• Final Notes and References
• ch. 7 Math Games
• Preprocessing Data Prior to Visualization
• Modules math and cmath
• Example: Mandelbrot Set
• Example: A Newton Fractal
• Module decimal
• Module fractions
• Module random
• Using Module random to Solve Probability Questions
• Random Sequences
• Module NumPy
• Array Creation
• Slicing, Indexing, and Reshaping
• N-Dimensional Arrays
• Math Functions
• Array Methods and Properties
• Other Useful Array Functions
• Final Notes and References
• ch. 8 Science and Visualization
• Numerical Analysis and Signal Processing
• Finding Your Way: Variables and Functions
• SciPy
• Linear Algebra
• Solving a System of Linear Equations
• Vector and Matrix Operations
• Matrix Decomposition
• Additional Linear Algebra Functionality
• Numerical Integration
• More Integration Methods
• Interpolation and Curve Fitting
• Piecewise Linear Interpolation
• Polynomials
• Uses of Polynomials
• Spline Interpolation
• Solving Nonlinear Equations
• Special Functions
• Signal Processing
• Functions find, nonzero, where and select
• Functions diff and split
• Waveforms
• Fourier Transform
• Example: FFT of a Sampled Cosine Wave
• Window Functions
• Filtering
• Filter Design
• Example: A Heart-Rate Monitor
• Example: Moving Average
• Final Notes and References
• ch. 9 Image Processing
• Two-Dimensional Data
• Reading, Writing, and Displaying Images
• Reading Images from File
• Image Attributes
• Displaying Images
• Converting File Formats
• Image Manipulation
• Creating New Images
• Copy and Paste
• Crop and Resize
• Rotate
• Image Annotation
• Annotating with Geometrical Shapes
• Text Annotations
• Image Processing
• Matrix Representation and Colors
• Reading an Image to a NumPy Array
• Example: Counting Objects (Five Parts)
• Image Arithmetic
• Image Filtering
• Making Movies
• Splitting Movies
• Creating Movies from Images
• Example: A Fractal Movie
• Final Notes and References
• ch. 10 Advanced File Processing
• More on Files
• Binary Files and Random Access
• Example: Reading the Nth Field
• Example: Efficient Tail Implementation
• Example: Creating a Fixed Size File
• Example: Recording Time-Based Binary Data
• Reading MATLAB Files as NumPy Arrays
• Reading Text Files Directly to NumPy Arrays
• Example: Reading and Writing Text Files to NumPy Arrays
• Object Serialization
• Pickle Module
• Command-Line Parameters
• argv
• Example: Creating a Fixed Size File (a Stand-Alone Script)
• optparse Module
• Filelnput Module
• File and Directory Manipulation
• Module glob
• Additional os Module Functionality
• Additional os.path Module Functionality
• Module shutil
• File Compression
• Example: A Compressed tar File
• Comparing Files
• Module filecmp
• Module difflib
• Final Notes and References
• Appendix: Additional Source Listing
• Nudge Subplots
• Magic Square Arrows
• Numerical Integration Visualization Source Code
• Fractal Function Source Code.

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Author/Creator:

Vaingast, Shai , author

Languages:

English

Language Notes:

Item content: English

Main Work:

Beginning Python visualization: crafting visual transformation scripts [by Vaingast, S.]

Subjects:

Python (Computer program language)

Object-oriented programming (Computer science)

General Notes:

Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on Sep. 11, 2014).

Physical Description:

1 online resource.

Call Numbers:

QA76.73.P98 V35 2014eb

ISBNs:

9781484200520 (electronic bk.)
1484200527 (electronic bk.)
9781484200537 [Invalid]

Other Standard Numbers:

10.1007/978-1-4842-0052-0 (source: None)

OCLC Numbers:

890013676

Other Control Numbers:

EBC1964872 (source: MiAaPQ)
[Unknown Type]: ybp12058419