Python Programming

Python Programming Author John M. Zelle
ISBN-10 9781887902991
Release 2004
Pages 517
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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.



The Practice of Computing Using Python

The Practice of Computing Using Python Author William F. Punch
ISBN-10 9780134380179
Release 2016-02-18
Pages 744
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Python Programming Introduces Python programming with an emphasis on problem-solving Now in its Third Edition, Practice of Computing Using Python continues to effectively introduce readers to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++. Focusing on data manipulation and analysis as a theme, the text allows readers to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasize program development and provide readers of all backgrounds with a practical foundation in programming that suit their needs. Among other changes, the Third Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs. Also available with MyProgrammingLab™ MyProgrammingLab is an online learning system designed to engage students and improve results. MyProgrammingLab consists of a set of programming exercises correlated to specific Pearson CS1/Intro to Programming textbooks. Through practice exercises and immediate, personalized feedback, MyProgrammingLab improves the programming competence of beginning students who often struggle with the basic concepts of programming languages. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyLab & Mastering, search for: 0134520513 / 9780134520513 The Practice of Computing Using Python plus MyProgrammingLab with Pearson eText -- Access Card Package, 3/e Package consists of: 0134381327 / 9780134381329 MyProgrammingLab with Pearson eText -- Access Card Package 0134379764 / 9780134379760 The Practice of Computing Using Python, 3/e



Introduction to Computation and Programming Using Python

Introduction to Computation and Programming Using Python Author John V. Guttag
ISBN-10 9780262529624
Release 2016-08-12
Pages 472
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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.



Practical Programming

Practical Programming Author Paul Gries
ISBN-10 9781680504125
Release 2017-12-06
Pages 412
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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.



Learning PHP 7

Learning PHP 7 Author Antonio Lopez
ISBN-10 9781785883415
Release 2016-03-29
Pages 414
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Learn the art of PHP programming through this example-rich book filled to the brim with tutorials every PHP developer needs to know About This Book Set up the PHP environment and get started with web programming Leverage the potential of PHP for server-side programming, memory management, and object-oriented programming (OOP) This book is packed with real-life examples to help you implement the concepts as you learn Who This Book Is For If you are a web developer or programmer who wants to create real-life web applications using PHP 7, or a beginner who wants to get started with PHP 7 programming, this book is for you. Prior knowledge of PHP, PHP 7, or programming is not mandatory. What You Will Learn Set up a server on your machine with PHP Use PHP syntax with the built-in server to create apps Apply the OOP paradigm to PHP to write richer code Use MySQL to manage data in your web applications Create a web application from scratch using MVC Add tests to your web application and write testable code Use an existing PHP framework to build and manage your applications Build REST APIs for your PHP applications Test the behavior of web applications with Behat In Detail PHP is a great language for building web applications. It is essentially a server-side scripting language that is also used for general purpose programming. PHP 7 is the latest version with a host of new features, and it provides major backwards-compatibility breaks. This book begins with the fundamentals of PHP programming by covering the basic concepts such as variables, functions, class, and objects. You will set up PHP server on your machine and learn to read and write procedural PHP code. After getting an understanding of OOP as a paradigm, you will execute MySQL queries on your database. Moving on, you will find out how to use MVC to create applications from scratch and add tests. Then, you will build REST APIs and perform behavioral tests on your applications. By the end of the book, you will have the skills required to read and write files, debug, test, and work with MySQL. Style and approach This book begins with the basics that all PHP developers use every day and then dives deep into detailed concepts and tricks to help you speed through development. You will be able to learn the concepts by performing practical tasks and implementing them in your daily activities, all at your own pace.



Fundamentals of Python First Programs

Fundamentals of Python  First Programs Author Kenneth A. Lambert
ISBN-10 9781337560092
Release 2018-01-01
Pages 50
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Master today's required computer science topics while preparing for further study with Lambert's FUNDAMENTALS OF PYTHON: FIRST PROGRAMS. This book's easygoing approach is ideal for readers with any type of background. The approach starts with simple algorithmic code and then scales into working with functions, objects, and classes as the problems become more complex and require new abstraction mechanisms. Rather than working only with numeric or text-based applications like other introductions, this edition presents graphics, image manipulation, GUIs, and simple networked client/server applications. The author uses Python's standard Turtle graphics module to introduce graphics and to provide open source frameworks for easy image processing and GUI application development. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Advanced Data Analytics Using Python

Advanced Data Analytics Using Python Author Sayan Mukhopadhyay
ISBN-10 9781484234501
Release 2018-03-29
Pages 186
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Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.



Data Science Fundamentals for Python and MongoDB

Data Science Fundamentals for Python and MongoDB Author David Paper
ISBN-10 9781484235973
Release 2018-06-14
Pages 214
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Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data Who This Book Is For The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.



Data Structures and Algorithms Using Python and C

Data Structures and Algorithms Using Python and C  Author David M. Reed
ISBN-10 1590282337
Release 2009
Pages 568
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"Builds on knowledge from a first course in computer programming using Python. Makes a transition from programming in Python to a data structures course and programming in C++"--Provided by publisher.



Beginning Python Games Development Second Edition

Beginning Python Games Development  Second Edition Author Will McGugan
ISBN-10 9781484209707
Release 2015-07-10
Pages 308
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Beginning Python Games Development, Second Edition teaches you how to create compelling games using Python and the PyGame games development library. It will teach you how to create visuals, do event handling, create 3D games, add media elements, and integrate OpenGL into your Python game. In this update to the first ever book to cover the popular open source PyGame games development library, you'll stand to gain valuable technical insights and follow along with the creation of a real-world, freely downloadable video game. Written by industry veterans and Python experts Will McGugan and Harrison Kinsley, this is a comprehensive, practical introduction to games development in Python. You can also capitalize upon numerous tips and tricks the authors have accumulated over their careers creating games for some of the world's largest game developers.



HT THINK LIKE A COMPUTER SCIEN

HT THINK LIKE A COMPUTER SCIEN Author Jeffrey Elkner
ISBN-10 9888406787
Release 2016-10-04
Pages 306
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The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.



Learn to Program with Python

Learn to Program with Python Author Irv Kalb
ISBN-10 9781484221723
Release 2016-08-22
Pages 263
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Get started in the world of software development: go from zero knowledge of programming to comfortably writing small to medium-sized programs in Python. Programming can be intimidating (especially when most books on software require you to know and use obscure command line instructions) but it doesn’t have to be that way! In Learn to Program with Python, author Irv Kalb uses his in-person teaching experience to guide you through learning the Python computer programming language. He uses a conversational style to make you feel as though he is your personal tutor. All material is laid out in a thoughtful manner, each lesson building on previous ones. Many real–world analogies make the material easy to relate to. A wide variety of well-documented examples are provided. Along the way, you’ll develop small programs on your own through a series of coding challenges that reinforce the content of the chapters. What You Will Learn Learn fundamental programming concepts including: variables and assignment statements, functions, conditionals, loops, lists, strings, file input and output, Internet data, and data structures Get comfortable with the free IDLE Interactive Development Environment (IDE), which you will use to write and debug all your Python code - no need to use the command line! Build text-based programs, including a number of simple games Learn how to re-use code by building your own modules Use Python's built-in data structures and packages to represent and make use of complex data from the Internet Who This Book Is For This book assumes that you have absolutely no prior knowledge about programming. There is no need to learn or use any obscure Unix commands. Students of any age who have had no exposure to programming and are interested in learning to do software development in the Python language. The book can be used as a text book associated with a high school or college introduction to computer science course. Secondly, people who have had exposure to some computer language other than Python, who would like to build good habits for programming in Python.



More Python Programming for the Absolute Beginner

More Python Programming for the Absolute Beginner Author Jonathan S. Harbour
ISBN-10 9781435459816
Release 2011
Pages 320
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What better way is there to learn a programming language than with a game-oriented approach? If you ask the many readers that have made this book's prequel, PYTHON PROGRAMMING FOR THE ABSOLUTE BEGINNER, a bestseller, they'll tell you – there isn't one. MO



Databases Illuminated

Databases Illuminated Author Iona College Catherine M Ricardo
ISBN-10 9781284056976
Release 2015-09-01
Pages 760
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Databases Illuminated, Third Edition Includes Navigate 2 Advantage Access combines database theory with a practical approach to database design and implementation. Strong pedagogical features, including accessible language, real-world examples, downloadable code, and engaging hands-on projects and lab exercises create a text with a unique combination of theory and student-oriented activities. Providing an integrated, modern approach to databases, Databases Illuminated, Third Edition is the essential text for students in this expanding field.



Problem Solving with Algorithms and Data Structures Using Python

Problem Solving with Algorithms and Data Structures Using Python Author Bradley N. Miller
ISBN-10 1590282574
Release 2011
Pages 425
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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.



Introduction to Programming in Python

Introduction to Programming in Python Author Robert Sedgewick
ISBN-10 9780134076522
Release 2015-05-27
Pages 792
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Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.



Learning to Program Using Python

Learning to Program Using Python Author Cody Jackson
ISBN-10 1499186495
Release 2014-04-21
Pages 228
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This books teaches fundamental programming concepts using the powerful, yet easy to learn, Python programming language. Python is a cross-platform language used by organizations such as Google and NASA, designed for rapid application prototyping and development. Used by itself or with other languages, Python allows the developer to quickly and efficiently write programs without getting in the way. This book provides the reader with basic programming ideas, applicable to a wide range of tasks and can be used with other languages. After completing this book, the reader should be able to quickly create simple to moderately complex programs and have a foundation for further study. Topics include: core Python language (both versions 2.x and 3.x), object-oriented programming, databases, graphical user interfaces, web programming, and simple game development.