Python Programming Fundamentals

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.

With an interesting mix of theory and practicals, explore Python and its features, and progress from beginner to being skilled in this popular scripting language Key Features A comprehensive introduction to the world of Python programming Paves an easy-to-follow path for you to navigate through concepts Filled with over 90 practical exercises and activities to reinforce your learning Book DescriptionAfter a brief history of Python and key differences between Python 2 and Python 3, you'll understand how Python has been used in applications such as YouTube and Google App Engine. As you work with the language, you'll learn about control statements, delve into controlling program flow and gradually work on more structured programs via functions. As you settle into the Python ecosystem, you'll learn about data structures and study ways to correctly store and represent information. By working through specific examples, you'll learn how Python implements object-oriented programming (OOP) concepts of abstraction, encapsulation of data, inheritance, and polymorphism. You'll be given an overview of how imports, modules, and packages work in Python, how you can handle errors to prevent apps from crashing, as well as file manipulation. By the end of this book, you'll have built up an impressive portfolio of projects and armed yourself with the skills you need to tackle Python projects in the real world.What you will learn Use control statements Manipulate primitive and non-primitive data structures Use loops to iterate over objects or data for accurate results Write encapsulated and succinct Python functions Build Python classes using object-oriented programming Manipulate files on the file system (open, read, write, and delete) Who this book is for Python Fundamentals is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. Prior knowledge of Python isn't required.

Master Python Programming Today Fast And Easily!! UPDATED VERSION This book contains proven steps and strategies to learn the essentials of Python Programming. It highlights the important concepts that every beginner to intermediate programmer should know and presents relevant and practical examples. It aims to provide a solid foundation for people who want to start a career in Python Programming. This book is a must for programming enthusiasts or students who need to learn and understand Python easily, quickly, and methodically. A few advanced topics were added to satisfy long term python users. These topics may or may not be suitable for begginers depending on their situation. Here is a preview of what this book will offer: What is Python? What software you need to code and run Python programs? What are variables? What mathematical operators are there in Python? What are the common data types in Python? What are Lists and Tuples? How to format strings How to accept user inputs and display outputs How to make decisions with If statements How to control the flow of program with loops How to handle errors and exceptions What are functions and modules? How to define your own functions and modules How to work with external files The manipulation of various Python Programming Softwares Interactions between the user and computer using Python Method to develop your first software and beyond (including in-depth data manipulation) The future prospects of learning Python Advanced topics include: Object - Oriented Programming Regular Expressions Managing Parameters From The Command-Line Processing Comma-Separated Data Don't wait any longer, get your copy today!

Written for computer programming students, hobbyists, and professionals, FUNDAMENTALS OF PYTHON: DATA STRUCTURES is an introduction to object-oriented design and data structures using the popular Python programming language. The level of instruction assumes at least one semester of programming in an object-oriented language such as Java, C++, or Python. Through the step-by-step instruction and exercises in this book, you'll cover such topics as the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of the space/time tradeoffs of different collection implementations (specifically array-based implementations and link-based implementations). Collections covered include sets, lists, stacks, queues, trees, dictionaries, and graphs. Get ready to dig into Python data structures with FUNDAMENTALS OF PYTHON: DATA STRUCTURES.

This book has been written with two categories of readers in mind. This book can be manual for those who would want to excel in Python programming as well as for those who are new to Python programming and would want to learn. I hope that you will find what follows both instructive and at times entertaining too. The book is designed for programmers who already have some experience of using a modern high level procedural programming language like C/ C++. The book concentrates on the things that are essential to understand Python programming. Those who already know C will find the contents and example code snippets a bit interested. The syntax and coding constructs of Python programming paradigm is nearer to C but not exact. From my point of view, what matters for a programmer is "Logic" and "Syntax". It has been inevitable for programmers to learn and practice emerging programming paradigms. This is the first edition of the textbook hence a lot of brainstorming was required in order to properly structure each and every chapter. Appendix A addresses exercise questions of "Python for Everybody" by Charles R Severance. Appendix B is about Python solution to few commonly found programming problems. All the programs presented in the textbook are tested using PyCharm IDE. I hope the book meets the requirements of student fraternity and remains reachable throughout its multiple entry of editions. Also, PyCharm IDE installation guidelines included in the textbook.

Computer programming is a skill that can bring great enjoyment from the creativity involved in designing and implementing a solution to a problem. This classroom-tested and easy-to-follow textbook teaches the reader how to program using Python, an accessible language which can be learned incrementally. Through an extensive use of examples and practical exercises, students will learn to recognize and apply abstract patterns in programming, as well as how to inspect the state of a program using a debugger tool. Features: contains numerous examples and solved practice exercises designed for an interactive classroom environment; highlights several patterns which commonly appear in programs, and presents exercises that reinforce recognition and application of these patterns; introduces the use of a debugger, and includes supporting material that reveals how programs work; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides helpful additional resources for instructors at the associated website: http://cs.luther.edu/~leekent/CS1. This hands-on textbook for active learning in the classroom will enable undergraduates in computer science to develop the necessary skills to begin developing their own programs. It employs Python as the introductory language due to the wealth of support available for programmers.

Learn how to program with Python from beginning to end. This book is for beginners who want to get up to speed quickly and become intermediate programmers fast!

Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates its integration with ArcGIS Theory. Filled with hands-on computer exercises in a logical learning workflow this book promotes increased interactivity between instructors and students while also benefiting professionals in the field with vital knowledge to sharpen their programming skills. Readers receive expert guidance on modules, package management, and handling shapefile formats needed to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom-tested exercises are all housed here to permit users to become competitive in the GIS/IT job market and industry.