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Introduction to Programming Using Python

]]> By Liang, Y. Daniel.
Chennai Pearson India Education Services Pvt. Ltd. 2017 .
557 , 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. Fundamentals-first approach introduces basic programming concepts and techniques on selections, loops, functions, before writing custom classes. Liang introduces and uses objects in Chapter 3, but defining custom classes is covered later in Chapter 7. Problem-driven approach teaches programming in a problem-driven way that focuses on problem solving rather than syntax. Liang captures students’ interest by using interesting examples in a broad context (areas include math, science, business, financials, gaming, animation and multimedia). Appropriate syntax and libraries are introduced in order to solve the problems. Flexible GUI Coverage gives instructors the flexibility to skip graphics topics or cover these topics later in the course. The book use Python’s built-in Turtle graphics module in Chapters 1-6 and Tkinter in the rest of the book. Both Turtle and Tkinter are simple, easy to learn and valuable pedagogical tools for teaching the fundamentals of programming and object-oriented programming. GUI Examples are offered early in every chapter and a special set of GUI exercises appears at the end of every chapter. 978-93-325-5184-8

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Learning Python

]]> By Lutz, Mark.
Chennai O'Reilly Media Inc. 2018 .
1540 , 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, meta classes, and Unicode processing 978-93-5110-201-4

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Machine Learning

]]> By Dutt, Saikat.
Chennai Pearson India Education Services Pvt. Ltd. 2019 .
428 , able of Contents: 1 Introduction to Machine Learning 2 Preparing to Model 3 Modelling and Evaluation 4 Basics of Feature Engineering 5 Brief Overview of Probability 6 B ayesian Concept Learning 7 Super vised Learning: Classification 8 Super vised Learning: Regression 9 Unsupervised Learning 10 Basics of Neural Network 11 Other Types of Learning 978-93-530-6669-7

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Programming and Problem Solving with Python

]]> By Kamthane, Ashok Namdeve.
Chennai McGraw Hill Education (India) Pvt. Ltd. 2018 .
398 , This book provides students thorough knowhow of Python programming language. It familiarizes students with the concepts of Python programming, its usability in programming as well as advantages and disadvantages over other programming languages. The fundamental and theoretical concepts are explained with programs and illustratively solved examples. Each program is followed by its exhaustive explanation to resolve conceptuality of programs. The book develops problem-solving and code writing skills. This hands-on-guide is sure to encourage engineering students from all streams, self-learners and professionals to perform complex calculations and script applications in python. 978-93-87067-57-8

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Python Programming: Using problem solving approach

]]> By Thareja, Reema.
New Delhi Oxford University Press 2017 .
544 , Python Programming is designed as a textbook to fulfil the requirements of the first-level course in Python programming. It is suited for undergraduate degree students of computer science engineering, information technology as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems. The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading and exceptions are provided in the book. Features • Simple and lucid treatment of concepts supported with illustrations for easy understanding. • Numerous programming examples along with their outputs to help students master the art of writing efficient Python programs. • Notes and programming tips to highlight the important concepts and help readers avoid common programming errors. • Strong chapter-end pedagogy including plenty of objective-type questions, review questions, programming and debugging exercises to facilitate revision and practice of concepts learnt. • 7 Annexures and 5 appendices covering types of operating systems, differences between Python 2.x and 3.x, installing Python, debugging and testing, iterators, generators, getters, setters, Turtle graphics, plotting graphs, multi-threading, GUI and Web Programming provided to supplement the text. • Case studies on creating calculator, calendar, hash files, compressing strings and files, tower of Hanoi, image processing, shuffling a deck of cards and mail merge demonstrate the application of various concepts. • Point-wise summary and glossary of key terms to aid quick recapitulation of concepts. 978-0-19-948017-3

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Python Programming: A modular approach with graphics, database, mobile and web applications

]]> By Taneja, Sheetal .
Chennai Pearson India Education Services Pvt. Ltd. 2019 .
582 , Python Programming introduces one of the most rapidly evolving and preferred programming language using the concept of modularity. One of the highlights of the text is its in-depth treatment of basic concepts. Advanced topics are discussed with multiple examples of applications from various fields such as database management, web and, mobile application development.1. A chapter on debugging ? an essential skill for making the programs work 2. Includes basic sorting and searching techniques? selection sort, bubble sort, insertion sort, merge sort, quick sort, and linear and binary search 3. Comprehensive treatment of recursion, including problems such as list manipulation, Tower of Hanoi, permutation generation, n-queens? problem, Sudoku, and plotting Hilbert curves 4. Margin notes and chapter summary for quick review of the concepts 978-93-325-8534-8

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Python:The Complete Reference

]]> By Brown, Martin C..
Chennai McGraw Hill Education (India) Pvt. Ltd. 2018 .
691 978-93-87572-94-2

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