Introduction To Programming And Problem Solving Using Python
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Introduction To Programming And Problem Solving Using Python
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Author : Kishor Bhoyar
language : en
Publisher: Notion Press
Release Date : 2024-05-06
Introduction To Programming And Problem Solving Using Python written by Kishor Bhoyar and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Computers categories.
Unlock the World of Coding with "Introduction to Programming and Problem Solving Using Python" ' This book serves as your friendly guide to the world of programming, using Python as the key to unlock its vast potential. With a hands-on approach and real-world examples, you'll discover the beauty of Python's simplicity and versatility, whether you're a complete beginner or coming from another programming background. Learn to think like a programmer as you tackle common coding challenges and build your problem-solving skills step by step. From mastering the fundamentals of Python syntax to building a logical thought process required for coding, this book empowers you to write efficient, elegant code that solves real-world problems. Salient features of the book: · Suitable for the beginners as well as intermediate level programmers · Numerous interesting programming examples are provided with due explanation · End of the chapter exercises for additional practice · Programs are based on Python Version 3.0 and above · Special chapter on small projects in Python, prepares you for the professional level of coding Join us on this exciting journey and watch as the world of coding unfolds before your eyes.
Introduction To Computing Problem Solving With Python
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Author : Jeeva Jose
language : en
Publisher: KHANNA PUBLISHING
Release Date : 2016-08-01
Introduction To Computing Problem Solving With Python written by Jeeva Jose and has been published by KHANNA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with Computers categories.
This book 'Introduction to Computing and Problem Solving with Python' will help every student,teacher and researcher to understand the computing basics and advanced PythonProgramming language. The Python programming topics include the reserved keywords,identifiers, variables, operators, data types and their operations, flowcontrol techniques which include decision making and looping, modules, filesand exception handling techniques. Advanced topics like Python regularexpressions, Database Programming and Object Oriented Programming concepts arealso covered in detail. All chapters have worked out programs, illustrations,review and frequently asked interview questions. The simple style of presentationmakes this a friend for self-learners. More than 300 solved lab exercisesavailable in this book is tested in Python 3.4.3 version for Windows. The book covers syllabus for more than 35 International Universities and45 Indian universities like Dr. APJ Abdul Kalam Technological University,Christ University, Savitribai Phule Pune University, University of Delhi, University of Calicut, Mahatma Gandhi University, University of Mumbai, AICTE, CBSE, MIT, University of Virginia, University of Chicago, University of Toronto, Technical University of Denmark etc.
Introduction To Computation And Programming Using Python Second Edition
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Author : John V. Guttag
language : en
Publisher: MIT Press
Release Date : 2016-08-12
Introduction To Computation And Programming Using Python Second Edition written by John V. Guttag and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Computers categories.
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. 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.
Programming And Problem Solving Using Python
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Author : Anuradha A. Puntambekar
language : en
Publisher: Technical Publications
Release Date : 2020-12-01
Programming And Problem Solving Using Python written by Anuradha A. Puntambekar and has been published by Technical Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.
This textbook is designed to learn python programming from scratch. At the beginning of the book general problem solving concepts such as types of problems, difficulties in problem solving, and problem solving aspects are discussed. From this book, you will start learning the Python programming by knowing about the variables, constants, keywords, data types, indentation and various programming constructs. The most commonly used types such as Lists, Tuples, dictionaries are also discussed with necessary examples and illustrations. The book includes the concepts of functions, lambda functions, modules and strings. In the later part of this book the concept of object oriented programming using Python is discussed in detail. Finally how to handle files and directories using Python is discussed. At the end of book some sample programs in Python are given that are based on the programming constructs. Python will be most demanded language after Java in future. So learning Python is need for today’s software professionals. This book serves the purpose of teaching Python programming in the simplest and easiest manner.
Introduction To Programming Using Python An Global Edition
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Author : David I. Schneider
language : en
Publisher: Pearson Higher Ed
Release Date : 2015-10-07
Introduction To Programming Using Python An Global Edition written by David I. Schneider and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-07 with Computers categories.
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, organised, 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
An Introduction To Python Programming A Practical Approach
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Author : Dr. Krishna Kumar Mohbey
language : en
Publisher: BPB Publications
Release Date : 2021-08-26
An Introduction To Python Programming A Practical Approach written by Dr. Krishna Kumar Mohbey and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-26 with Computers categories.
step-by-step approach to Python programming with machine learning fundamental and theoretical principles. KEY FEATURES ● Introduces readers to Python programming in a very simple way. ● Extensive practical demonstration of Python concepts using numerous examples. ● Implementation of machine learning in Python using hands-on techniques. DESCRIPTION The book ‘Introduction to Python Programming: A Practical Approach’ lays out a path for readers who want to pursue a career in the field of computer software development. It covers the fundamentals of Python programming as well as machine learning principles. Students will benefit from the examples that are included with each concept, which will aid them in understanding the concept. This book provides a practical understanding of Python programming using numerous programs and examples. It also develops problem-solving and code-writing abilities for the readers. This book covers Python fundamentals, operators, and data structures such as strings, lists, dictionaries, and tuples. It also contains information on file and exception handling. The implementation of a machine learning model has also been included in this book. With the help of this book, students and programmers can improve their programming skills as well as their ability to sprint towards a rewarding career. WHAT YOU WILL LEARN ● Learn Python concepts, operators, and data structures. ● Learn the properties and operations of lists, tuples, and dictionaries. ● Write Python code to solve specific issues. ● Write Python code to handle disk files and exceptions. ● Work with OOPS properties like classes, objects, constructors, inheritance, and polymorphism. ● Use machine learning for classification, regression, prediction, and clustering. WHO THIS BOOK IS FOR This book is intended for current and aspiring emerging technology professionals, students, and anyone else who wishes to better understand the Python programming language and machine learning concepts. TABLE OF CONTENTS 1. Chapter 1: Basics of Python Programming 2. Chapter 2: Operators and Expressions 3. Chapter 3: Control Flow Statements 4. Chapter 4: Functions 5. Chapter 5: Strings 6. Chapter 6: Lists 7. Chapter 7: Tuple 8. Chapter 8: Dictionaries 9. Chapter 9: File Handling 10. Chapter 10: Exception Handling, Modules, and Packages 11. Chapter 11: Object-oriented Programming 12. Chapter 12: Machine Learning with Python 13. Chapter 13: Clustering with Python
Schneider
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Author : David I. Schneider
language : en
Publisher:
Release Date : 2015-08-07
Schneider written by David I. Schneider and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-07 with Python (Computer program language) categories.
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.
Introduction To Computation And Programming Using Python Revised And Expanded Edition
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Author : John V. Guttag
language : en
Publisher: MIT Press
Release Date : 2013-08-09
Introduction To Computation And Programming Using Python Revised And Expanded Edition written by John V. Guttag and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-09 with Computers categories.
An introductory text that teaches students the art of computational problem solving, covering topics that range from simple algorithms to information visualization. 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 a massive open online course (or MOOC) offered by the pioneering MIT-Harvard collaboration edX. 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. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. 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. Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.
Problem Solving And Python Programming
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Author : Dr. MUTHU KUMAR B
language : en
Publisher: Lulu.com
Release Date :
Problem Solving And Python Programming written by Dr. MUTHU KUMAR B and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Learn To Code By Solving Problems
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Author : Daniel Zingaro
language : en
Publisher: No Starch Press
Release Date : 2021-06-29
Learn To Code By Solving Problems written by Daniel Zingaro and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Computers categories.
Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.