Introduction to Programming Using Python

Author: Y. Daniel Liang
Publisher: Prentice Hall
ISBN: 0132747189
Release Date: 2013
Genre: Computers

NOTE: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you would like to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0133050556/ISBN-13: 9780133050554. That package includes ISBN-10: 0132747189/ISBN-13: 9780132747189 and ISBN-10: 0133019861/ISBN-13: 9780133019865 . MyProgrammingLab should only be purchased when required by an instructor. Introduction to Programming Using Python is intended for use in the introduction to programming course. Daniel Liang is known for his "fundamentals-first" approach to teaching programming concepts and techniques. "Fundamentals-first" means that students learn fundamental programming concepts like selection statements, loops, and functions, before moving into defining classes. Students learn basic logic and programming concepts before moving into object-oriented programming, and GUI programming. Another aspect of Introduction to Programming Using Python is that in addition to the typical programming examples that feature games and some math, Liang gives an example or two early in the chapter that uses a simple graphic to engage the students. Rather than asking them to average 10 numbers together, they learn the concepts in the context of a fun example that generates something visually interesting. Using the graphics examples is optional in this textbook. Turtle graphics can be used in Chapters 1-5 to introduce the fundamentals of programming and Tkinter can be used for developing comprehensive graphical user interfaces and for learning object-oriented programming.

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.

An Introduction to Programming Using Python Global Edition

Author: David I. Schneider
Publisher: Pearson Higher Ed
ISBN: 9781292103440
Release Date: 2015-10-07
Genre: Computers

For college-level Computer Science courses in Python Basic Programming and Problem Solving in Python As one of the most widely used programming languages in the software industry, Python is desirable to both learn and teach. Introduction to Programming Using Python is designed for students eager to learn about the world of programming. Applicable to a range of skill levels, this First Edition textbook provides students with the tools to harness the powerful syntax of Python and understand how to develop computer programs. The compactly written text leverages highly focused chapters, diving deep into the most significant topics to give students an in-depth (rather than superficial) understanding of the language. Using real-world examples and data, the author illustrates practical usage of Python in a way to which students can relate. The text itself is readable, organized, and informative, discussing main points of each topic first and then addressing the peripheral details. Students learn good programming habits the first time—bringing them in line with the best modern programming practices. MyProgrammingLab® not included. Students, if MyProgrammingLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyProgrammingLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyProgrammingLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

An Introduction to Programming Using Python

Author: David I. Schneider
Publisher: Prentice Hall
ISBN: 0134058224
Release Date: 2015-02-06
Genre: Computers

&>NOTE: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you would like to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0134089456/ISBN-13: 9780134089454. That package includes ISBN-10: 0134058437/ISBN-13: 9780134058436 and ISBN-10: 0134058224/ISBN-13: 9780134058221. For college-level Computer Science courses in Python Basic Programming and Problem Solving in Python As one of the most widely used programming languages in the software industry, Python is desirable to both learn and teach. Introduction to Programming Using Python is designed for students eager to learn about the world of programming. Applicable to a range of skill levels, this First Edition textbook provides students with the tools to harness the powerful syntax of Python and understand how to develop computer programs. The compactly written text leverages highly focused chapters, diving deep into the most significant topics to give students an in-depth (rather than superficial) understanding of the language. Using real-world examples and data, the author illustrates practical usage of Python in a way to which students can relate. The text itself is readable, organized, and informative, discussing main points of each topic first and then addressing the peripheral details. Students learn good programming habits the first time-bringing them in line with the best modern programming practices.

Introduction to Programming Using Python Student Value Edition

Author: David I. Schneider
Publisher: Pearson
ISBN: 013405833X
Release Date: 2015-02-20
Genre: Computers

&>NOTE: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you would like to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0134089456/ISBN-13: 9780134089454. That package includes ISBN-10: 0134058437/ISBN-13: 9780134058436 and ISBN-10: 0134058224/ISBN-13: 9780134058221. "For college-level Computer Science courses in Python" Basic Programming and Problem Solving in PythonAs one of the most widely used programming languages in the software industry, Python is desirable to both learn and teach. "Introduction to Programming Using Python" is designed for students eager to learn about the world of programming. Applicable to a range of skill levels, this First Edition textbook provides students with the tools to harness the powerful syntax of Python and understand how to develop computer programs. The compactly written text leverages highly focused chapters, diving deep into the most significant topics to give students an in-depth (rather than superficial) understanding of the language. Using real-world examples and data, the author illustrates practical usage of Python in a way to which students can relate. The text itself is readable, organized, and informative, discussing main points of each topic first and then addressing the peripheral details. Students learn good programming habits the first time-bringing them in line with the best modern programming practices.

Practical Programming

Author: Paul Gries
Publisher: Pragmatic Bookshelf
ISBN: 9781680504125
Release Date: 2017-12-06
Genre: Computers

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.

A Concise Introduction to Programming in Python

Author: Mark J. Johnson
Publisher: CRC Press
ISBN: 9781439896945
Release Date: 2011-12-21
Genre: Computers

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.

Introduction to Computing Using Python An Application Development Focus 2nd Edition

Author: Ljubomir Perkovic
Publisher: Wiley Global Education
ISBN: 9781118890875
Release Date: 2015-06-12
Genre: Computers

Perkovic's Introduction to Programming Using Python: An Application Development Focus, 2e is more than just an introduction to programming. It is an inclusive introduction to Computer Science that takes the pedagogical approach of "the right tool for the job at the right moment," and focuses on application development. The approach is hands-on and problem-oriented, with practice problems and solutions appearing throughout the text. The text is imperative-first, but does not shy away from discussing objects early where appropriate. Discussions of user-defined classes and Object-Oriented Programming appear later in the text, when students have more background and concepts can be motivated. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development. This edition also includes examples and practice problems provided within a greater variety of domains. It also includes case studies integrated into additional chapters, providing students with real life applications using the concepts and tools covered in the chapters.

Introduction to Computing Using Python

Author: Ljubomir Perkovic
Publisher: Wiley
ISBN: 0470618469
Release Date: 2011-12-20
Genre: Computers

Perkovic's Introduction to Programming Using Python provides an imperative-first introduction to Python focusing on computer applications and the process of developing them. The text helps develop computational thinking skills by covering patterns of how problems can be broken down and constructively solved to produce an algorithmic solution. The approach is hands-on and problem oriented. The book also introduces a subset of the Python language early on to help write small functions. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development.

Practical Programming

Author: Jennifer Campbell
Publisher:
ISBN: 1934356271
Release Date: 2009
Genre: Computers

Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, this book is for you. By the time you're done, you'll know how to do all of that and a lot more. And Python makes it easy and fun. Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer. Topics covered include: Basic elements of programming from arithmetic to loops and if statements. Using functions and modules to organize programs. Using lists, sets, and dictionaries to organize data. Designing algorithms systematically. Debugging things when they go wrong. Creating and querying databases. Building graphical interfaces to make programs easier to use. Object-oriented programming and programming patterns.

Introduction to Computer Science Using Python A Computational Problem Solving Focus

Author: Charles Dierbach
Publisher: Wiley Global Education
ISBN: 9781118476604
Release Date: 2012-11-30
Genre: Computers

Introduction to Computer Science Using Python: A Computational Problem-Solving Focus introduces students to programming and computational problem-solving via a back-to-basics, step-by-step, objects-late approach that makes this book easy to teach and learn from. Students are provided with a thorough conceptual grounding in computational problem solving before introducing them to specific Python syntax, thus giving them the background to become successful programmers in any language. Dierbach also offers students a thorough grounding in imperative programming before introducing them to object-oriented programming. His step-by-step pedagogical approach makes this an accessible and student-friendly introduction to programming that eases students into program-writing through a variety of hands-on exercises.

An Introduction to Python and Computer Programming

Author: Yue Zhang
Publisher: Springer
ISBN: 9789812876096
Release Date: 2015-07-08
Genre: Mathematics

This book introduces Python programming language and fundamental concepts in algorithms and computing. Its target audience includes students and engineers with little or no background in programming, who need to master a practical programming language and learn the basic thinking in computer science/programming. The main contents come from lecture notes for engineering students from all disciplines, and has received high ratings. Its materials and ordering have been adjusted repeatedly according to classroom reception. Compared to alternative textbooks in the market, this book introduces the underlying Python implementation of number, string, list, tuple, dict, function, class, instance and module objects in a consistent and easy-to-understand way, making assignment, function definition, function call, mutability and binding environments understandable inside-out. By giving the abstraction of implementation mechanisms, this book builds a solid understanding of the Python programming language.

Introduction to Computer Science Using Python

Author: Charles Dierbach
Publisher: John Wiley & Sons
ISBN: 0470555157
Release Date: 2012-12-25
Genre: Computers

Introduction to Computer Science Using Python: A Computational Problem–Solving Focus introduces readers to programming and computational problem–solving via a back–to–basics, step–by–step, objects–late approach that makes this book easy to teach and learn from. Readers are provided with a thorough conceptual grounding in computational problem solving before introducing them to specific Python syntax, thus giving them the background to become successful programmers in any language. Dierbach also offers readers a thorough grounding in imperative programming before introducing them to object–oriented programming. His step–by–step pedagogical approach makes this an accessible and reader–friendly introduction to programming that eases readers into program–writing through a variety of hands–on exercises.

Integrating Python with Leading Computer Forensics Platforms

Author: Chet Hosmer
Publisher: Syngress
ISBN: 9780128099506
Release Date: 2016-09-26
Genre: Computers

Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms. Provides hands-on tools, code samples, detailed instruction, and documentation that can be immediately put to use Shows how to integrate Python with popular digital forensic platforms, including EnCase, MPE+, The Open Source Autopsy/SleuthKit, and US-LATT Presents complete coverage of how to use Open Source Python scripts to extend and modify popular digital forensic Platforms

Bioinformatics Programming Using Python

Author: Mitchell L Model
Publisher: "O'Reilly Media, Inc."
ISBN: 1449382908
Release Date: 2009-12-08
Genre: Computers

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming. Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks. Become familiar with Python's fundamentals, including ways to develop simple applications Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics Learn how to apply the principles and techniques of object-oriented programming Benefit from the "tips and traps" section in each chapter