Author: Kent D. Lee
Release Date: 2015-01-07
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.
Author: Kent D. Lee
Publisher: Springer Science & Business Media
Release Date: 2010-10-26
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.
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.
Author: Paul Jones
Publisher: Createspace Independent Publishing Platform
Release Date: 2016-10-26
Master Python Programming Today Fast And Easily!! Today only, get this Amazon bestseller for just $13.38. Regularly priced at $17.38. 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. 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 Don't wait any longer, get your copy today!
Author: Michael Knapp
Release Date: 2017-06-06
Do you want to learn Python in an easy and faster way? Start learning Python right Now! Welcome to this training for the Kindle book Python for Advanced! You have made it to where you are able to tell what everything in python is and you know what you need to do in order to make it work for what you want it to do.It is not always going to be easy to use python, but by knowing what to do in certain situations and how to handle variables that you are going to be working with when it. Practice is always going to make perfect, and now that you are on the advanced level of the python you are not only going to be practising the things that you have learned previously, but you are also going to be putting it to work with what you will be learning in this book. As we have mentioned in previous books, you can use Python for hacking, and we are going to touch on that in this book. Not only that, but we will touch on how you can build your own website with Python.From the lessons that you have learned throughout all three books, you should be able to take python and begin to develop your own programs if that is something that you are interested in. In reality, you can do almost anything you want to with Python now that you know not only the basics but some of the harder things that not everyone is going to know or have a desire to learn.It is my hope as the author that at this point in time if you are going to the Python website, that you are not only getting some of the help that you may need but that you are also able to offer some advice to those that may be starting out with python. You should even be able to sit down with someone in your own family and teach them to use python with everything that you have learned in the first two books paired with this final book! Here's What You'll Learn From This Python For Advanced Book: Chapter 1: Building a website by using python code✓Chapter 2: Spying with Python ✓Chapter 3: Gathering data ✓Chapter 4: Sniffing out packets with Python ✓Chapter 5: Packet interception ✓Chapter 6: Attacking a computer✓Chapter 7: Testing out attackS✓Chapter 8: how to take a screenshot with Python ✓Chapter 9: Compiling data that you have collected✓Chapter 10: Running a program at start up Start Learning Python Right Now!
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. A powerful programming language with high-level toolkits, Python is well suited to handling geo-spatial data. Teaching the fundamental programming constructs of Python, this book demonstrates Python’s integration with ArcGIS Theory and offers practical, hands-on computer exercises allowing readers to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom tested exercises; this book promotes increased interactivity between instructor and student.
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as IPython and Jupyter Utilize Python for web development and build a real-world app using Django Book Description Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned. What you will learn Get Python up and running on Windows, Mac, and Linux Explore fundamental concepts of coding using data structures and control flow Write elegant, reusable, and efficient code in any situation Understand when to use the functional or OOP approach Cover the basics of security and concurrent/asynchronous programming Create bulletproof, reliable software by writing tests Build a simple website in Django Fetch, clean, and manipulate data Who this book is for Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application.
Author: John M. Zelle
Publisher: Franklin, Beedle & Associates, Inc.
Release Date: 2004
This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.
Master The Basics of Python Programming Today! Python is on the rise in the world of coding and many popular technological devices from the Raspberry Pi to the Linux operating system use Python as a crux for not just education, but implementation. Python can help you code your own software, develop your own games and even format your own home surveillance system! It is, hands down, one of the most useful coding languages around, and the way it is formatted cuts out a great deal of the fluff that other coding languages have a tendency to be bogged down with. Whether your interest in Python is educational, career-based, or born out of a simple curiosity, it is a programming language you should know, be fluent in, and put on your resume. This world is quickly evolving into a technology-based society, and knowing a coding language as prominent as Python will not only ensure you a job in the future, but it will provide you with a thick foundation to then build your coding language on, should that be something you are chasing. However, no matter the purpose you have chosen for learning this language, there is no beginner's book that breaks down the language into its original components and strings them together cohesively better than this one. If you are looking for a book that is easy to understand and still provides the easy to digest guidance you want, then look no further than here!
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. - See more at: http://www.cengageptr.com/Topics/TitleDetail/1285752007#sthash.eg5FI6pX.dpuf
Author: Gokturk Ucoluk
Publisher: Springer Science & Business Media
Release Date: 2012-10-29
The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.
Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clinical and research datasets. The common computational tasks of medical informatics are accessible to anyone willing to learn the basics. Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby demonstrates that biomedical professionals with fundamental programming knowledge can master any kind of data collection. Providing you with access to data, nomenclatures, and programming scripts and languages that are all free and publicly available, this book — Describes the structure of data sources used, with instructions for downloading Includes a clearly written explanation of each algorithm Offers equivalent scripts in Perl, Python, and Ruby, for each algorithm Shows how to write short, quickly learned scripts, using a minimal selection of commands Teaches basic informatics methods for retrieving, organizing, merging, and analyzing data sources Provides case studies that detail the kinds of questions that biomedical scientists can ask and answer with public data and an open source programming language Requiring no more than a working knowledge of Perl, Python, or Ruby, Methods in Medical Informatics will have you writing powerful programs in just a few minutes. Within its chapters, you will find descriptions of the basic methods and implementations needed to complete many of the projects you will encounter in your biomedical career.
Author: John Paul Mueller
Publisher: John Wiley & Sons
Release Date: 2018-01-17
The easy way to learn programming fundamentals with Python Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural. Due to its ease of use and flexibility, Python is constantly growing in popularity—and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package—this book covers it all! Use Python to create and run your first application Find out how to troubleshoot and fix errors Learn to work with Anaconda and use Magic Functions Benefit from completely updated and revised information since the last edition If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success.
Master today's required computer science topics while preparing for further study with Lambert's FUNDAMENTALS OF PYTHON: FIRST PROGRAMS. This book's easygoing approach is ideal for readers with any type of background. The approach starts with simple algorithmic code and then scales into working with functions, objects, and classes as the problems become more complex and require new abstraction mechanisms. Rather than working only with numeric or text-based applications like other introductions, this edition presents graphics, image manipulation, GUIs, and simple networked client/server applications. The author uses Python's standard Turtle graphics module to introduce graphics and to provide open source frameworks for easy image processing and GUI application development. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Kent D. Lee
Release Date: 2015-01-12
This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.