Python Essential Reference

Author: David M. Beazley

Publisher: Addison-Wesley Professional

ISBN: 0672329786

Category: Computers

Page: 717

View: 1503

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Presents a guide to the features and library modules of the Python programming language.
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Fluent Python

Clear, Concise, and Effective Programming

Author: Luciano Ramalho

Publisher: "O'Reilly Media, Inc."

ISBN: 1491946253

Category: Computers

Page: 792

View: 2252

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Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
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Python Cookbook

Recipes for Mastering Python 3

Author: David Beazley,Brian K. Jones

Publisher: "O'Reilly Media, Inc."

ISBN: 1449357369

Category: Computers

Page: 706

View: 4386

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If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. Topics include: Data Structures and Algorithms Strings and Text Numbers, Dates, and Times Iterators and Generators Files and I/O Data Encoding and Processing Functions Classes and Objects Metaprogramming Modules and Packages Network and Web Programming Concurrency Utility Scripting and System Administration Testing, Debugging, and Exceptions C Extensions
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Programming Python

4th edition

Author: Mark Lutz

Publisher: O'Reilly Media; Fourth Edition edition (January 10, 2011)

ISBN: 0596158106

Category: Computers

Page: 1628

View: 1355

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If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose. Topics include: Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basicsSystem programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and moreGUI programming: Learn to use Python’s tkinter widget libraryInternet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniquesMore ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python
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Modeling Techniques in Predictive Analytics with Python and R

A Guide to Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 013389214X

Category: Computers

Page: 448

View: 8680

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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
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Web and Network Data Science

Modeling Techniques in Predictive Analytics

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 0133887642

Category: Computers

Page: 384

View: 7139

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Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
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ARC User

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Geographic information systems

Page: N.A

View: 652

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Designing with Javascript

Creating Dynamic Web Pages

Author: Nick Heinle,Bill Peña

Publisher: "O'Reilly Media, Inc."

ISBN: 9781565923607

Category: Computers

Page: 216

View: 9090

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A guide for beginners offers an overview of JavaScript basics and explains how to create Web pages, identify browsers, and integrate sound, graphics, and animation into Web applications
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Sys Admin

The Journal for UNIX System Administrators

Author: N.A

Publisher: N.A

ISBN: N.A

Category: UNIX (Computer file)

Page: N.A

View: 8632

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Writing Excel Macros

Author: Steven Roman

Publisher: N.A

ISBN: N.A

Category: Macro instructions (Electronic computers).

Page: 529

View: 3462

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Despite its powerful feature set, you've probably found that there's a lot that you can't do-or can't do easily-through Microsoft Excel's user interface. For instance, have you ever wanted to sort the worksheets in a workbook without dragging and dropping each one individually ? Have you ever wanted to select a worksheet whose tab was not shown at the bottom of the workbook's window without scrolling through the tabs of all available worksheets ? In fact, you can address these and innumerable other shortcomings and extend your control over Excel by using Visual Basic for Applications to control Excel programmatically. Wilting Excel Macros is the introduction to Excel VBA that allows you to do just that. Writing Excel Macros provides Excel users, as well as programmers who are unfamiliar with the Excel object model, with a solid introduction to writing VBA macros and programs for Excel. in particular, the book focuses on : The Visual Basic Editor and the Excel VBA programming environment. Excel features a complete, state-of-the-art integrated development environment for writing, running, testing, and debugging VBA macros. The VBA programming language, the same programming language used by the other applications in Microsoft Office 2000, as well as by the retail editions of Visual Basic. The Excel object model. Excel exposes nearly all of its functionality through its object model, which is the means by which Excel can be controlled programmatically using VBA. While the Excel object model, with 192 objects, is the second largest among the Office applications, readers need be familiar with only a handful of objects to write effective macros. Wilting Excel Macros focuses on these essential objects, but includes a discussion of a great many more objects as well. Writing Excel Macros is written in a terse, no-nonsense manner that is characteristic of Steven Roman's straightforward, practical approach. Instead of a slow-paced tutorial with a lot of handholding, Roman offers the essential information about Excel VBA that you must master to write macros effectively. This tutorial is reinforced by interesting and useful examples that solve common problems ; you're sure to have encountered. Writing Excel Macros is the book you need to delve into the basics of Excel VBA programming, enabling you to increase your power and productivity when using Microsoft Excel.
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