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!

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.

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.

Presents the important topics for a CS1 course while preparing your students to study additional languages. This book uses the Python programming language, which is both easy to learn for beginners and scales well to advanced applications.

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.

* Covers low-level networking in Python —essential for writing a new networked application protocol. * Many working examples demonstrate concepts in action -- and can be used as starting points for new projects. * Networked application security is demystified. * Exhibits and explains multitasking network servers using several models, including forking, threading, and non-blocking sockets. * Features extensive coverage of Web and E-mail. Describes Python's database APIs.