[PDF] Introduction To Programming Using Python With 12 Month Student Access Code - eBooks Review

Introduction To Programming Using Python With 12 Month Student Access Code


Introduction To Programming Using Python With 12 Month Student Access Code
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Introduction To Programming In Python


Introduction To Programming In Python
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Author : Robert Sedgewick
language : en
Publisher: Addison-Wesley Professional
Release Date : 2015-05-27

Introduction To Programming In Python written by Robert Sedgewick and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-27 with Computers categories.


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.



Introduction To Computer Science And Programming In Python


Introduction To Computer Science And Programming In Python
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-26

Introduction To Computer Science And Programming In Python written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.


EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.



An Introduction To Python Programming A Practical Approach


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



Python An Introduction To Programming


Python An Introduction To Programming
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Author : James R. Parker
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2016-12-12

Python An Introduction To Programming written by James R. Parker and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.


No detailed description available for "Python. An Introduction to Programming".



An Introduction To Python Programming For Scientists And Engineers


An Introduction To Python Programming For Scientists And Engineers
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Author : Johnny Wei-Bing Lin
language : en
Publisher: Cambridge University Press
Release Date : 2022-07-07

An Introduction To Python Programming For Scientists And Engineers written by Johnny Wei-Bing Lin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Computers categories.


Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.



Mastering Data Structures With Python


Mastering Data Structures With Python
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Author : Aditya Pratap Bhuyan
language : en
Publisher: Aditya Pratap Bhuyan
Release Date : 2024-09-14

Mastering Data Structures With Python written by Aditya Pratap Bhuyan and has been published by Aditya Pratap Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Computers categories.


"Mastering Data Structures with Python: A Practical Guide" offers a comprehensive journey through the essential concepts of data structures, all within the practical framework of Python. Designed for both beginners and experienced programmers, this book provides a thorough understanding of the data structures that are critical to writing efficient, high-performance algorithms. The book begins with a solid introduction to fundamental data structures like arrays, linked lists, stacks, and queues, before moving on to more complex structures such as trees, graphs, and heaps. Each data structure is broken down with easy-to-understand explanations, step-by-step walkthroughs, and Python code examples that bring theory to life. The clear, practical approach ensures that readers can apply what they've learned in real-world programming situations. In addition to covering these essential structures, the book also focuses on the efficiency and performance of algorithms, teaching you how to analyze time and space complexity using Big O notation. This understanding is crucial for writing code that scales and performs well under pressure, a skill that's highly sought after in technical interviews and real-world development. The book goes beyond theory, showcasing real-world applications of data structures in Python, such as how to use them to optimize search algorithms, build complex networks, and manage large datasets. With a focus on practical problem-solving, you'll also learn tips and tricks for optimizing code, managing memory efficiently, and implementing the right data structures for various tasks. Whether you’re a student preparing for coding interviews, a developer wanting to sharpen your skills, or simply curious about data structures, "Mastering Data Structures with Python" serves as a valuable guide. It’s not just about learning Python—it’s about mastering the art of programming itself.



Introduction To Computation And Programming Using Python Second Edition


Introduction To Computation And Programming Using Python Second Edition
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Author : John V. Guttag
language : en
Publisher: MIT Press
Release Date : 2016-08-08

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 2016-08-08 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.



Explorations In Computing


Explorations In Computing
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Author : John S. Conery
language : en
Publisher: CRC Press
Release Date : 2014-09-24

Explorations In Computing written by John S. Conery and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-24 with Computers categories.


An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to



Emerging Research Practice And Policy On Computational Thinking


Emerging Research Practice And Policy On Computational Thinking
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Author : Peter J. Rich
language : en
Publisher: Springer
Release Date : 2017-04-24

Emerging Research Practice And Policy On Computational Thinking written by Peter J. Rich and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-24 with Education categories.


This book reports on research and practice on computational thinking and the effect it is having on education worldwide, both inside and outside of formal schooling. With coding becoming a required skill in an increasing number of national curricula (e.g., the United Kingdom, Israel, Estonia, Finland), the ability to think computationally is quickly becoming a primary 21st century “basic” domain of knowledge. The authors of this book investigate how this skill can be taught and its resultant effects on learning throughout a student's education, from elementary school to adult learning.



Essential Programming For The Technical Artist


Essential Programming For The Technical Artist
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Author : Chris Roda
language : en
Publisher: CRC Press
Release Date : 2024-05-17

Essential Programming For The Technical Artist written by Chris Roda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Computers categories.


This book is based on a successful curriculum designed to elevate technical artists with no programming experience up to essential programming competency as quickly as possible. Instead of abstract, theoretical problems, the curriculum employs familiar applications encountered in real production environments to demonstrate each lesson. Written with artists in mind, this book introduces novice programmers to the advantageous world of Python programming with relevant and familiar examples. Any digital artists (not just technical artists) will find this book helpful in assisting with day-to-day production activities. Concentrating upon subjects relevant to the creation of computer graphic assets, this book introduces Python basics, functions, data types, object-oriented programming, exception handling, file processing, graphical user interface creation, PEP 8 standards, and regular expressions. Programming within the SideFX Houdini 3D animation software provides a familiar environment for artists to create and experiment with the covered Python topics.