NumPy Basics: Arrays and Vectorized Computation.
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45 IPython Basics Tab Completion Introspection The %run Command Executing Code from the Clipboard Keyboard Shortcuts Exceptions and Tracebacks Magic Commands Qt-based Rich GUI Console Matplotlib Integration and Pylab Mode Using the Command History Searching and Reusing the Command History Input and Output Variables Logging the Input and Output Interacting with the Operating System Shell Commands and Aliases Directory Bookmark System Software Development Tools Interactive Debugger Timing Code: %time and %timeit Basic Profiling: %prun and %run -p Profiling a Function Line-by-Line IPython HTML Notebook Tips for Productive Code Development Using IPython Reloading Module Dependencies Code Design Tips Advanced IPython Features Making Your Own Classes IPython-friendly Profiles and Configuration CreditsĤ6 47 48 49 50 52 53 54 55 56 58 58 58 59 60 60 62 62 62 67 68 70 72 72 74 74 76 76 77 78Ĥ. IPython: An Interactive Computing and Development Environment. 17 1.usa.gov data from bit.ly Counting Time Zones in Pure PythonĬounting Time Zones with pandas MovieLens 1M Data Set Measuring rating disagreement US Baby Names 1880-2010 Analyzing Naming Trends Conclusions and The Path Aheadģ.
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1 What Is This Book About? Why Python for Data Analysis? Python as Glue Solving the “Two-Language” Problem Why Not Python? Essential Python Libraries NumPy pandas matplotlib IPython SciPy Installation and Setup Windows Apple OS X GNU/Linux Python 2 and Python 3 Integrated Development Environments (IDEs) Community and Conferences Navigating This Book Code Examples Data for Examples Import Conventions Jargon Acknowledgementsġ 2 2 2 3 3 4 4 5 5 6 6 7 9 10 11 11 12 12 13 13 13 13 14Ģ. While every precaution has been taken in the preparation of this book, the publisher and author assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. Where those designations appear in this book, and O’Reilly Media, Inc., was aware of a trademark claim, the designations have been printed in caps or initial caps. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks.
Python for Data Analysis, the cover image of a golden-tailed tree shrew, and related trade dress are trademarks of O’Reilly Media, Inc. Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Revision History for the First Edition: First release See for release details. Indexer: BIM Publishing Services Cover Designer: Karen Montgomery Interior Designer: David Futato Illustrator: Rebecca Demarest For more information, contact our corporate/institutional sales department: 80 or Įditors: Julie Steele and Meghan Blanchette Production Editor: Melanie Yarbrough Copyeditor: Teresa Exley Proofreader: BIM Publishing Services October 2012: Online editions are also available for most titles (). O’Reilly books may be purchased for educational, business, or sales promotional use. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. Python for Data Analysis by Wes McKinney Copyright © 2013 Wes McKinney.
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