Python Programming in Context

Author: Bradley N. Miller
Publisher: Jones & Bartlett Publishers
ISBN: 9781449613099
Release Date: 2010-10-27
Genre: Computers

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.

Python Programming in Context

Author: Bradley N. Miller
Publisher: Jones & Bartlett Publishers
ISBN: 9781449660345
Release Date: 2010-10-27
Genre: Computers

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.

Python Programming in Context

Author: Bradley Miller
Publisher: Jones & Bartlett Learning
ISBN: 9780763746025
Release Date: 2009
Genre: Computers

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.

Python Programming in Context

Author: Miller
Publisher: Jones & Bartlett Learning
ISBN: 9781284150704
Release Date: 2013-02-01
Genre: Medical

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.

Python Programming

Author: John M. Zelle
Publisher: Franklin, Beedle & Associates, Inc.
ISBN: 9781887902991
Release Date: 2004
Genre: Computers

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.

A Concise Introduction to Programming in Python Second Edition

Author: Mark J. Johnson
Publisher: CRC Press
ISBN: 9781351621991
Release Date: 2018-04-17
Genre: Computers

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required. The Second Edition was thoroughly reorganized and rewritten based on classroom experience to incorporate: A spiral approach, starting with turtle graphics, and then revisiting concepts in greater depth using numeric, textual, and image data Clear, concise explanations written for beginning students, emphasizing core principles A variety of accessible examples, focusing on key concepts Diagrams to help visualize new concepts New sections on recursion and exception handling, as well as an earlier introduction of lists, based on instructor feedback The text offers sections designed for approximately one class period each, and proceeds gradually from procedural to object-oriented design. Examples, exercises, and projects are included from diverse application domains, including finance, biology, image processing, and textual analysis. It also includes a brief "How-To" sections that introduce optional topics students may be interested in exploring. The text is written to be read, making it a good fit in flipped classrooms. Designed for either classroom use or self-study, all example programs and solutions to odd-numbered exercises (except for projects) are available at: http://www.central.edu/go/conciseintro/.

Expert Python Programming

Author: Tarek Ziade
Publisher: Packt Publishing Ltd
ISBN: 9781847194954
Release Date: 2008-09-19
Genre: Computers

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

Introduction to Computation and Programming Using Python

Author: John V. Guttag
Publisher: MIT Press
ISBN: 9780262529624
Release Date: 2016-08-12
Genre: Computers

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.

Discovering Computer Science

Author: Jessen Havill
Publisher: CRC Press
ISBN: 9781498786744
Release Date: 2016-04-16
Genre: Computers

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.

Programming in Python 3

Author: Mark Summerfield
Publisher: Addison-Wesley Professional
ISBN: 9780321680563
Release Date: 2010
Genre: Computers

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.

Problem Solving with Algorithms and Data Structures Using Python

Author: Bradley N. Miller
Publisher: Franklin Beedle & Assoc
ISBN: 1590282574
Release Date: 2011
Genre: Computers

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.

Python Programming

Author: Leonard Eddison
Publisher: Createspace Independent Publishing Platform
ISBN: 1719396507
Release Date: 2018-05-20
Genre:

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

The Hitchhiker s Guide to Python

Author: Kenneth Reitz
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491933220
Release Date: 2016-08-30
Genre: Computers

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity—and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker’s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

Learning Python

Author: Mark Lutz
Publisher: "O'Reilly Media, Inc."
ISBN: 9781449355692
Release Date: 2013-06-12
Genre: Computers

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

Head First Python

Author: Paul Barry
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491919491
Release Date: 2016-11-21
Genre: Computers

Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals, working with the built-in data structures and functions. Then you’ll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you’re intrigued by what you can do with context managers, decorators, comprehensions, and generators, it’s all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Pythonuses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.