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.

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: 9780262337397
Release Date: 2016-08-08
Genre: Computers

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

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.

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:

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

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

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 for Biology

Author: Tim J. Stevens
Publisher: Cambridge University Press
ISBN: 9781316194140
Release Date: 2015-02-12
Genre: Science

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.

Professional Python

Author: Luke Sneeringer
Publisher: John Wiley & Sons
ISBN: 9781119070788
Release Date: 2015-10-07
Genre: Computers

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.

Learning Scientific Programming with Python

Author: Christian Hill
Publisher: Cambridge University Press
ISBN: 9781107075412
Release Date: 2016-01-31
Genre: Computers

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