-PDF Download- Fundamentals Of Problem Solving And Python Programming EBOOK

Python Programming Fundamentals

Author: Kent D. Lee

Publisher: Springer

Published: 2015-01-07

Total Pages: 241

ISBN-13: 1447166426

This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the end of each chapter; highlights the patterns which frequently appear when writing programs, reinforcing the application of these patterns for problem-solving through practice exercises; introduces the use of a debugger tool to inspect a program, enabling students to discover for themselves how programs work and enhance their understanding; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides instructional videos and additional information for students, as well as support materials for instructors, at an associated website.

Learn to Code by Solving Problems

Author: Daniel Zingaro

Publisher: No Starch Press

Published: 2021-06-29

Total Pages: 392

ISBN-13: 1718501331

DOWNLOAD EBOOK →

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.

Problem Solving in Data Structures & Algorithms Using Python

Author: Hemant Jain

Publisher: Independently Published

Published: 2019-05-16

Total Pages: 410

ISBN-13: 9781098963231

DOWNLOAD EBOOK →

"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory

Problem Solving with Algorithms and Data Structures Using Python

Author: Bradley N. Miller

Publisher: Franklin Beedle & Associates

Published: 2011

Total Pages: 0

ISBN-13: 9781590282571

DOWNLOAD EBOOK →

Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.

Problem Solving and Python Programming

Author: N Dhasarathan

Publisher: Educreation Publishing

Published: 2019-02-10

Total Pages: 172

ISBN-13:

DOWNLOAD EBOOK →

This book is meant for Python beginners. We can learn python programming language well with the practice of applications in that particular programming language. The purpose of this book is to learn python easily with the variety of applications. This book makes the reader to get familiar with Python. It mainly focuses on problem solving using python. Unit 1 covers algorithms, building blocks of algorithms, notation, algorithmic problem solving and simple strategies for developing algorithms. This unit also give the solutions to find minimum in a list, insert a card in a list of sorted cards, guess an integer number in a range and Towers of Hanoi. Unit 2 covers python interpreter, basics of python, statements, operators, modules, functions and flow of execution statements. This unit also provides the solution to exchange the values of two variables, circulate the values of n variables and distance between two points. Unit 3 covers If types, looping, break, continue and pass statements. This unit also covers fruitful functions, variable scope, string operations, string functions, methods and string module. The solutions are given to find square root, gcd, exponentiation, sum an array of numbers, linear search and binary search. Unit 4 covers list, tuple, dictionary operations, functions and methods. This unit also provides the solution for selection sort, insertion sort, merge sort and histogram. Unit 5 covers the concepts of files, exception, modules and packages. This unit also provides the solution to word count and copy file.

Problem Solving and Python Programming

Author: J Jayalakshmi et al.

Publisher: S. Chand Publishing

Published:

Total Pages:

ISBN-13: 9352834852

DOWNLOAD EBOOK →

This textbook is based on Anna University revised syllabus regulation 2017 for first year B.E/B.tech students to understand the problem solving and python programming. This book provides the knowledge of problem solving techniques, fundamental concepts of python programming.

Fundamentals of Problem Solving and Python Programming

Author: Dr. R. K. Patjoshi

Publisher: LAP Lambert Academic Publishing

Published: 2022-11-15

Total Pages: 282

ISBN-13: 620551561X

DOWNLOAD EBOOK →

This book “Fundamentals of Problem Solving and Python Programming” will definitely help to you to be an expert in Python programming which is basically used to create web-based applications. This book serves as a guide or tutorial to the Python programming language. It is mainly targeted at newbies. It is useful for experienced programmers as well. The aim is that if all you know about computers is how to save text files, then you can learn Python from this book. If you have previous programming experience, then you can also learn Python from this book.

Programming and Problem Solving using Python

Author: Anuradha A. Puntambekar

Publisher: Technical Publications

Published: 2020-12-01

Total Pages: 234

ISBN-13: 9333223827

DOWNLOAD EBOOK →

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.

Problem Solving with Python 3. 7 Edition

Author: Peter D. Kazarinoff

Publisher:

Published: 2019-09-15

Total Pages: 348

ISBN-13: 9781693405419

DOWNLOAD EBOOK →

Get started solving problems with the Python programming language!This book introduces some of the most famous scientific libraries for Python: * Python's math and statistics module to do calculations * Matplotlib to build 2D and 3D plots * NumPy to complete calculations on arrays * Jupiter Notebooks to share results with a team * SymPy to solve equations * PySerial to control an Arduino with Python * MicroPython to control an LEDThis book is great for budding engineers and data scientists. The text starts with the basics but finishes with topics rarely included in other engineering and data science programming books like SymPy and PySerial and MicroPython.

Python Programming in Context

Author: Julie Anderson

Publisher: Jones & Bartlett Learning

Published: 2024-04-15

Total Pages: 512

ISBN-13: 1284018598

DOWNLOAD EBOOK →

Python Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.10, the Fourth Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming to immediately engage students. An ideal first language for learners entering the rapidly expanding fields of computer science, data science, and scientific programing, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages. This text is designed to be a first course in computer science that focuses on problem-solving, with language features being introduced as needed to solve the problem at hand.