Practical Programming

Practical Programming

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  • Author: Paul Gries
  • Publisher: Pragmatic Bookshelf
  • ISBN: 1680504126
  • Category : Computers
  • Languages : en
  • Pages : 576

Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.


Practical Programming for Strength Training

Practical Programming for Strength Training

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  • Author: Mark Rippetoe
  • Publisher:
  • ISBN: 9780982522752
  • Category : Weight lifting
  • Languages : en
  • Pages : 256

3rd edition


Practical Programming in Tcl and Tk

Practical Programming in Tcl and Tk

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  • Author: Brent B. Welch
  • Publisher: Prentice Hall Professional
  • ISBN: 9780130385604
  • Category : Computers
  • Languages : en
  • Pages : 964

"The bulk of the book is about Tcl scripting and the aspects of C programming to create Tcl extentions is given a lighter treatment."--Author.


Practical C++ Programming

Practical C++ Programming

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  • Author: Steve Oualline
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 144936716X
  • Category : Computers
  • Languages : en
  • Pages : 576

C++ is a powerful, highly flexible, and adaptable programming language that allows software engineers to organize and process information quickly and effectively. But this high-level language is relatively difficult to master, even if you already know the C programming language.The 2nd edition of Practical C++ Programming is a complete introduction to the C++ language for programmers who are learning C++. Reflecting the latest changes to the C++ standard, this 2nd edition takes a useful down-to-earth approach, placing a strong emphasis on how to design clean, elegant code.In short, to-the-point chapters, all aspects of programming are covered including style, software engineering, programming design, object-oriented design, and debugging. It also covers common mistakes and how to find (and avoid) them. End of chapter exercises help you ensure you've mastered the material.Practical C++ Programming thoroughly covers: C++ Syntax Coding standards and style Creation and use of object classes Templates Debugging and optimization Use of the C++ preprocessor File input/output Steve Oualline's clear, easy-going writing style and hands-on approach to learning make Practical C++ Programming a nearly painless way to master this complex but powerful programming language.


Practical Foundations for Programming Languages

Practical Foundations for Programming Languages

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  • Author: Robert Harper
  • Publisher: Cambridge University Press
  • ISBN: 1107150302
  • Category : Computers
  • Languages : en
  • Pages : 513

This book unifies a broad range of programming language concepts under the framework of type systems and structural operational semantics.


Practical Programming for Strength Training

Practical Programming for Strength Training

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  • Author: Mark Rippetoe
  • Publisher:
  • ISBN: 9780976805410
  • Category : Weight lifting
  • Languages : en
  • Pages : 280

Practical Programming offers a different approach to exercise programming than that typically found in other exercise texts. Based on a combined 60 years of academic expertise, elite-level coaching experience, and the observation of thousands of novice trainees, the authors present a chronological analysis of the response to exercise as it varies through the training history of the athlete, one that reflects the realities of human physiology, sports psychology, and common sense. Contrary to the one-size-fits-all models of periodization offered elsewhere, Practical Programming explains the differences in response to exercise commonly observed between athletes at the novice, intermediate, and advanced levels, explains these differences in the context of the relevant exercise science, and presents new training models that actually work for athletes at all levels of experience. Complete with new, innovative graphical representations of cutting-edge concepts in exercise programming, Practical Programming is sure to become a standard reference in the field of exercise and human performance.


Practical IDL Programming

Practical IDL Programming

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  • Author: Liam E. Gumley
  • Publisher: Morgan Kaufmann
  • ISBN: 1558607005
  • Category : Computers
  • Languages : en
  • Pages : 530

1 : Introduction -- 2 : Fundamentals of IDL Syntax -- 3 : Writing IDL Programs -- 4 : Input and Output -- 5 : Direct Graphics -- 6 : Plotting Data -- 7 : Displaying Images -- 8 : Creating Graphical Output -- 9 : Graphical User Interfaces (GUIs) -- Appendix A : IDL on the Internet -- Appendix B : Mathematical Routines -- Appendix C : Widget Event Structures -- Appendix D : Widget Properties -- Appendix E : Graphics Device Properties.


Practical Programming

Practical Programming

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  • Author: Paul Gries
  • Publisher:
  • ISBN: 9781937785451
  • Category : Computers
  • Languages : en
  • Pages : 375

Previous edition: published as by Jennifer Campbell ... [et al]. 2009.


The Pragmatic Programmer

The Pragmatic Programmer

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  • Author: Andrew Hunt
  • Publisher: Addison-Wesley Professional
  • ISBN: 013211917X
  • Category : Computers
  • Languages : en
  • Pages : 346

What others in the trenches say about The Pragmatic Programmer... “The cool thing about this book is that it’s great for keeping the programming process fresh. The book helps you to continue to grow and clearly comes from people who have been there.” — Kent Beck, author of Extreme Programming Explained: Embrace Change “I found this book to be a great mix of solid advice and wonderful analogies!” — Martin Fowler, author of Refactoring and UML Distilled “I would buy a copy, read it twice, then tell all my colleagues to run out and grab a copy. This is a book I would never loan because I would worry about it being lost.” — Kevin Ruland, Management Science, MSG-Logistics “The wisdom and practical experience of the authors is obvious. The topics presented are relevant and useful.... By far its greatest strength for me has been the outstanding analogies—tracer bullets, broken windows, and the fabulous helicopter-based explanation of the need for orthogonality, especially in a crisis situation. I have little doubt that this book will eventually become an excellent source of useful information for journeymen programmers and expert mentors alike.” — John Lakos, author of Large-Scale C++ Software Design “This is the sort of book I will buy a dozen copies of when it comes out so I can give it to my clients.” — Eric Vought, Software Engineer “Most modern books on software development fail to cover the basics of what makes a great software developer, instead spending their time on syntax or technology where in reality the greatest leverage possible for any software team is in having talented developers who really know their craft well. An excellent book.” — Pete McBreen, Independent Consultant “Since reading this book, I have implemented many of the practical suggestions and tips it contains. Across the board, they have saved my company time and money while helping me get my job done quicker! This should be a desktop reference for everyone who works with code for a living.” — Jared Richardson, Senior Software Developer, iRenaissance, Inc. “I would like to see this issued to every new employee at my company....” — Chris Cleeland, Senior Software Engineer, Object Computing, Inc. “If I’m putting together a project, it’s the authors of this book that I want. . . . And failing that I’d settle for people who’ve read their book.” — Ward Cunningham Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a requirement and producing working, maintainable code that delights its users. It covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you'll learn how to Fight software rot; Avoid the trap of duplicating knowledge; Write flexible, dynamic, and adaptable code; Avoid programming by coincidence; Bullet-proof your code with contracts, assertions, and exceptions; Capture real requirements; Test ruthlessly and effectively; Delight your users; Build teams of pragmatic programmers; and Make your developments more precise with automation. Written as a series of self-contained sections and filled with entertaining anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best practices and major pitfalls of many different aspects of software development. Whether you're a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you'll quickly see improvements in personal productivity, accuracy, and job satisfaction. You'll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. You'll become a Pragmatic Programmer.


Practical Probabilistic Programming

Practical Probabilistic Programming

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  • Author: Avi Pfeffer
  • Publisher: Simon and Schuster
  • ISBN: 1638352372
  • Category : Computers
  • Languages : en
  • Pages : 650

Summary Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In it, you'll learn how to use the PP paradigm to model application domains and then express those probabilistic models in code. Although PP can seem abstract, in this book you'll immediately work on practical examples, like using the Figaro language to build a spam filter and applying Bayesian and Markov networks, to diagnose computer system data problems and recover digital images. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The data you accumulate about your customers, products, and website users can help you not only to interpret your past, it can also help you predict your future! Probabilistic programming uses code to draw probabilistic inferences from data. By applying specialized algorithms, your programs assign degrees of probability to conclusions. This means you can forecast future events like sales trends, computer system failures, experimental outcomes, and many other critical concerns. About the Book Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In this book, you’ll immediately work on practical examples like building a spam filter, diagnosing computer system data problems, and recovering digital images. You’ll discover probabilistic inference, where algorithms help make extended predictions about issues like social media usage. Along the way, you’ll learn to use functional-style programming for text analysis, object-oriented models to predict social phenomena like the spread of tweets, and open universe models to gauge real-life social media usage. The book also has chapters on how probabilistic models can help in decision making and modeling of dynamic systems. What's Inside Introduction to probabilistic modeling Writing probabilistic programs in Figaro Building Bayesian networks Predicting product lifecycles Decision-making algorithms About the Reader This book assumes no prior exposure to probabilistic programming. Knowledge of Scala is helpful. About the Author Avi Pfeffer is the principal developer of the Figaro language for probabilistic programming. Table of Contents PART 1 INTRODUCING PROBABILISTIC PROGRAMMING AND FIGARO Probabilistic programming in a nutshell A quick Figaro tutorial Creating a probabilistic programming application PART 2 WRITING PROBABILISTIC PROGRAMS Probabilistic models and probabilistic programs Modeling dependencies with Bayesian and Markov networks Using Scala and Figaro collections to build up models Object-oriented probabilistic modeling Modeling dynamic systems PART 3 INFERENCE The three rules of probabilistic inference Factored inference algorithms Sampling algorithms Solving other inference tasks Dynamic reasoning and parameter learning