Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the C# language fast?
This book is for you. You no longer have to waste your time and money learning C# from boring books that are 600 pages long, expensive online courses or complicated C# tutorials that just leave you more confused.
Complex concepts are broken down into simple steps to ensure that you can easily master the C# language even if you have never coded before.
Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Topics are carefully selected to give you a broad exposure to C#, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more.
Concepts are presented in a "to-the-point" style to cater to the busy individual. With this book, you can learn C# in just one day and start coding immediately.
The best way to learn C# is by doing. At the end of the book, you'll be guided through a unique project that requires the application of all the concepts taught previously. Working through the project will not only help you see how it all ties together, it'll also give you an immense sense of achievement and the exhilaration of turning lines of code into a finished product that you can be proud of!
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Finally, you'll be guided through a hands-on project that requires the application of all the topics covered.
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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.
If you want to learn how to program but don't know where to start, this is the right book and the right language for you. From the first page, our unique self-paced approach will help you build competence and confidence in your programming skills. And Python is the best language ever for learning how to program because of its simplicity and breadth...two features that are hard to find in a single language.
But this isn't just a book for newbies! Our self-paced approach also works for experienced programmers, helping you learn faster and better than you've ever learned a language before. By the time you're through, you will have mastered all of the Python skills that are needed on the job, including those for object-oriented, database, and GUI programming.
To make all of this possible, section 1 of this book presents an 8-chapter course that will get anyone off to a great start. Section 2 builds on that base by presenting the other essential skills that every Python programmer should have. Section 3 shows you how to develop object-oriented programs, a critical skillset in today's world. And section 4 shows you how to apply all of the skills that you've already learned as you build database and GUI programs for the real world.
Excel 2016 Power Programming with VBA is fully updated to cover all the latest tools and tricks of Excel 2016. Encompassing an analysis of Excel application development and a complete introduction to Visual Basic for Applications (VBA), this comprehensive book presents all of the techniques you need to develop both large and small Excel applications. Over 800 pages of tips, tricks, and best practices shed light on key topics, such as the Excel interface, file formats, enhanced interactivity with other Office applications, and improved collaboration features. In addition to the procedures, tips, and ideas that will expand your capabilities, this resource provides you with access to over 100 online example Excel workbooks and the Power Utility Pak, found on the Mr. Spreadsheet website.
Understanding how to leverage VBA to improve your Excel programming skills can enhance the quality of deliverables that you produceâand can help you take your career to the next level.
Excel 2016 Power Programming with VBA is a fundamental resource for intermediate to advanced users who want to polish their skills regarding spreadsheet applications using VBA.
Prelude to Programming is appropriate for Pre-Programming and Introductory Programming courses in community colleges, 4-year colleges, and universities. No prior computer or programming experience is necessary although readers are expected to be familiar with college entry-level mathematics.
Prelude to Programming provides beginning students with a language-independent framework for learning core programming concepts and effective design techniques. This approach gives students the foundation they need to understand the logic behind program design and to establish effective programming skills.
The Sixth Edition offers students a lively and accessible presentation as they learn core programming concepts â including data types, control structures, data files and arrays, and program design techniques such as top-down modular design and proper program documentation and style. Problem-solving skills are developed when students learn how to use basic programming tools and algorithms, which include data validation, defensive programming, calculating sums and averages, and searching and sorting lists.
Teaching and Learning Experience
This program presents a better teaching and learning experienceâfor you and your students. It provides:
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