Python Programming in Context

Author: Bradley N. Miller,David L. Ranum

Publisher: Jones & Bartlett Publishers

ISBN: 1449613098

Category: Computers

Page: 492

View: 741

A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.
Posted in Computers

Python Programming in Context

Author: Bradley N. Miller,David L. Ranum

Publisher: Jones & Bartlett Publishers

ISBN: 1449660347

Category: Computers

Page: 492

View: 8639

A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.
Posted in Computers

Python Programming in Context

Author: Bradley Miller,David Ranum

Publisher: Jones & Bartlett Learning

ISBN: 0763746029

Category: Computers

Page: 492

View: 8412

A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.
Posted in Computers

Python Programming in Context

Author: Miller

Publisher: Jones & Bartlett Learning

ISBN: 1284150704

Category: Medical

Page: 544

View: 7367

A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context, Second Edition is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well-rounded look of its capabilities.
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Python Programming

An Introduction to Computer Science

Author: John M. Zelle

Publisher: Franklin, Beedle & Associates, Inc.

ISBN: 1887902996

Category: Computers

Page: 517

View: 1939

This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.
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A Concise Introduction to Programming in Python

Author: Mark J. Johnson

Publisher: CRC Press

ISBN: 1498759696

Category: Computers

Page: 217

View: 2658

Suitable for newcomers to computer science, A Concise Introduction to Programming in Python provides a succinct, yet complete, first course in computer science using the Python programming language. The book features: Short, modular chapters with brief and precise explanations, intended for one class period Early introduction of basic procedural constructs such as functions, selection, and repetition, allowing them to be used throughout the course Objects are introduced in the middle of the course, and class design comes toward the end Examples, exercises, and projects from a wide range of application domains, including biology, physics, images, sound, mathematics, games, and textual analysis No external libraries are required, simplifying the book’s use in common lab spaces Each chapter introduces a main idea through a concrete example and a series of exercises. Designed to teach programming in a concise, yet comprehensive way, this book provides a timely introduction for students and anyone interested in learning Python.
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Programming in Python 3

A Complete Introduction to the Python Language

Author: Mark Summerfield

Publisher: Addison-Wesley Professional

ISBN: 0321680561

Category: Computers

Page: 630

View: 2084

Practical Python 3 for experienced developers: use the right idioms, techniques, and features to write great code * *Written from a completely 'Python 3' point of view: teaches best practices for making the most of today's newest version of Python. *Designed to help developers get productive fast... then learn how to write any program, use any library, create any library module. *Includes expert guidance on migrating Python 2 code to Python 3. Around the world, programmers appreciate Python for its simplicity, power, expressiveness, and the sheer pleasure of writing Python code. Python 3.1 is the newest and best version of the language yet: more convenient, more consistent, and easier to use. Mark Summerfield demonstrates how to write code that takes full advantage of the latest Python 3 features and idioms. Programming in Python 3, 2/e, brings together all the knowledge needed to write programs, use any library, and even create new library modules. The book teaches every aspect of the Python 3 language. It covers all the built-in functionality, as well as key components of Python's standard library. Structured so readers can write Python programs from chapter 1, each subsequent chapter provides further depth and broader coverage. Two new chapters have been added to this edition increasing the coverage to include parsing, debugging, testing, and profiling. Readers will master Python procedural and object-oriented techniques; creation of custom modules and packages; writing and reading files; multithreading; networking; database programming; GUIs; regular expressions; application debugging, testing, and profiling; and more. Detailed appendices include coverage of migrating applications from Python 2 to Python 3, plus a complete language reference. All sample code has been tested with the final version of Python 3 on Windows, Linux, and Mac OS X.
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Introduction to Computation and Programming Using Python

With Application to Understanding Data

Author: John V. Guttag

Publisher: MIT Press

ISBN: 0262529629

Category: Computers

Page: 472

View: 9412

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.
Posted in Computers

Python

Learn Python Programming in One Week With Step-by-step Tutorials

Author: Michael Lombard

Publisher: Createspace Independent Publishing Platform

ISBN: 9781548534318

Category:

Page: 50

View: 3322

Python: Learn Python Programming in One Week with Step-by-Step Tutorials So you're wanting to learn Python, and you're wanting to find the absolute best book on the market for doing just that. I've got good news for you: you've probably just found it. In just one week, you'll go from somebody who has never touched programming before to somebody who's very adept at programming in Python. Over the course of this book, we'll cover such important topics as: -What variables and values are and how you can use them in order to store and manipulate data -How to import and export files (and get the data that you need from them) -Using logic to your advantage in order to make your program have a mind of its own Giving yourself one week (or maybe even less), you'll become well-versed in Python, and by the end, you'll not only be feeling like a programmer, but thinking like one too. This book gives you an intricate look at the way Python concepts work in the context of a computer that seemingly speaks only mathematics, helping you form the mental bridge between the rough-and-tumble ones and zeroes of computing and the layman explanations that will make hard computer science concepts approachable to anybody. Tags: Python, Python course, Python book, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Python programming for beginners, Python for Dummies
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Bioinformatics Programming in Python

A Practical Course for Beginners

Author: Ruediger-Marcus Flaig

Publisher: John Wiley & Sons

ISBN: 3527644903

Category: Medical

Page: 428

View: 1669

This first introductory book designed to train novice programmers is based on a student course taught by the author, and has been optimized for biology students without previous experience in programming. By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and throughout uses anecdotes and real-life examples from the biosciences to 'spice up' the text. This practical book thus teaches essential programming skills for life scientists who want -- or need -- to write their own bioinformatics software tools.
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Expert Python Programming

Author: Tarek Ziade

Publisher: Packt Publishing Ltd

ISBN: 1847194958

Category: Computers

Page: 373

View: 5363

Best practices for designing, coding, and distributing your Python software.
Posted in Computers

Python Programming for Beginners

Learn the Fundamentals of Python

Author: Michael Knapp

Publisher: Createspace Independent Publishing Platform

ISBN: 9781548987794

Category:

Page: 150

View: 3167

Learn to use the Python language to create programs of all kinds. Author Jason Cannon will guide you from complete unfamiliarity with Python to creating practical applications. With Python, lack of experience isn't an obstacle to programming language mastery. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.
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Problem Solving with Algorithms and Data Structures Using Python

Author: Bradley N. Miller,David L. Ranum

Publisher: Franklin Beedle & Assoc

ISBN: 9781590282571

Category: Computers

Page: 425

View: 8234

THIS TEXTBOOK is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.
Posted in Computers

Discovering Computer Science

Interdisciplinary Problems, Principles, and Python Programming

Author: Jessen Havill

Publisher: CRC Press

ISBN: 149878674X

Category: Computers

Page: 750

View: 8055

Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books. Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses. The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses. The book includes thirty well-developed independent projects that encourage students to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implementing them as Python programs. The book's accompanying website — http://discoverCS.denison.edu — includes sample code and data files, pointers for further exploration, errata, and links to Python language references. Containing over 600 homework exercises and over 300 integrated reflection questions, this textbook is appropriate for a first computer science course for computer science majors, an introductory scientific computing course or, at a slower pace, any introductory computer science course.
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Python 3 Object-oriented Programming

Author: Dusty Phillips

Publisher: Packt Publishing Ltd

ISBN: 1784395951

Category: Computers

Page: 460

View: 869

Unleash the power of Python 3 objects About This Book Stop writing scripts and start architecting programs Learn the latest Python syntax and libraries A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python 3 Who This Book Is For If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply object-oriented programming in Python to design software, this is the book for you. What You Will Learn Implement objects in Python by creating classes and defining methods Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface Extend class functionality using inheritance Understand when to use object-oriented features, and more importantly when not to use them Discover what design patterns are and why they are different in Python Uncover the simplicity of unit testing and why it's so important in Python Grasp common concurrency techniques and pitfalls in Python 3 Exploit object-oriented programming in key Python technologies such as Kivy and Django. Object-oriented programming concurrently with asyncio In Detail Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax. Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception. Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software. You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program. You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy. This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published. Style and approach Throughout the book you will learn key object-oriented programming techniques demonstrated by comprehensive case studies in the context of a larger project.
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Learning Python

Powerful Object-Oriented Programming

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 1449355692

Category: Computers

Page: 1600

View: 1737

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
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Learning Scientific Programming with Python

Author: Christian Hill

Publisher: Cambridge University Press

ISBN: 1107075416

Category: Computers

Page: 482

View: 1676

Learn to master basic programming tasks from scratch with real-life scientific examples in this complete introduction to Python.
Posted in Computers

Professional Python

Author: Luke Sneeringer

Publisher: John Wiley & Sons

ISBN: 1119070783

Category: Computers

Page: 288

View: 2462

Master the secret tools every Python programmer needs to know Professional Python goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and constructs that build concise, maintainable code. Design better architecture and write easy-to-understand code using highly adoptable techniques that result in more robust and efficient applications. Coverage includes Decorators, Context Managers, Magic Methods, Class Factories, Metaclasses, Regular Expressions, and more, including advanced methods for unit testing using asyncio and CLI tools. Each topic includes an explanation of the concept and a discussion on applications, followed by hands-on tutorials based on real-world scenarios. The "Python 3 first" approach covers multiple current versions, while ensuring long-term relevance. Python offers many tools and techniques for writing better code, but often confusing documentation leaves many programmers in the dark about how to use them. This book shines a light on these incredibly useful methods, giving you clear guidance toward building stronger applications. Learn advanced Python functions, classes, and libraries Utilize better development and testing tools Understand the "what," "when," "why," and "how" More than just theory or a recipe-style walk-through, this guide helps you learn — and understand — these little-known tools and techniques. You'll streamline your workflow while improving the quality of your output, producing more robust applications with cleaner code and stronger architecture. If you're ready to take your Python skills to the next level, Professional Python is the invaluable guide that will get you there.
Posted in Computers

Python Programming

A Step by Step Guide for Beginners

Author: Leonard Eddison

Publisher: Createspace Independent Publishing Platform

ISBN: 9781719396509

Category:

Page: 140

View: 811

Python Programming: A Step By Step Guide For BeginnersSECOND EDITION Chances are, if you are viewing this page, you are brand new to Python. You might even be new to Programming altogether. Either way, you have come to the right place and chosen the right language. Python is a very beginner friendly Programming Language perfect for people who are new to the Programming world due to its straightforward approach and syntax. This book has been written keeping the beginner user in mind. Through the reading of this guide you will be led into the Programming world with a very easy Step-by-Step process. Frequently Asked Questions: Q: Is this book for beginners? If yes, can I find also some materials for the intermediate user? A: This book is though for a beginner user, it starts from "how to download and install Python on your PC" to "how to create your first string of code." It contains also chapters (in the second part of the book) intermediate friendly due to the fact that it contains a deepening on "modules, strings, dictionaries" and so on... Q: I have seen that this is the second edition, should I buy the first one instead? A: No, it's not a series, this is an updated version with more codes and an easy step-by-step guide on how to start Programming in Python 3. Q: Can I loan this ebook? A: Yes for sure, you can lend this ebook for a duration of 14 days. Q: Will I be able to program with Python after reading this book? A: Yes, this book is perfect for the user that wants to start coding with Python. Unfortunately, as soon as you will get more experienced you won't need to read books but more advanced materials such as courses and exercises, a lot of exercises... Q: Does this book contains codes examples? A: Yes, a lot of them Please note that this book will focus a lot on exercises and codes allowing the reader to learn Python as fast as possible in a practical manner. here some points covered by this book: -How to install Python (Windows, Mac, Linux...) -Modules -Types of data (tuple, lists, sets and so on...) -Python Syntax and much more inside the guide
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Python Programming for Biology

Bioinformatics and Beyond

Author: Tim J. Stevens,Wayne Boucher

Publisher: Cambridge University Press

ISBN: 1316194140

Category: Science

Page: N.A

View: 9312

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.
Posted in Science