Using a simple computational task (term frequency) to illustrate different programming styles, Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The book can also be used in advanced programming courses in computer science and software engineering programs.
The bookÂ contains 33 different styles for writing the term frequency task. The styles are grouped into nine categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, and interactivity. The author verbalizes the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.
âI donât even feel like Iâve scratched the surface of what I can do with Pythonâ
With Python Tricks: The Book youâll discover Pythonâs best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative.
You'll get one step closer to mastering Python, so you can write beautiful and idiomatic code that comes to you naturally.
Learning the ins and outs of Python is difficultâand with this book you'll be able to focus on the practical skills that really matter. DiscoverÂ the âhidden goldâ in Pythonâs standard library and start writingÂ clean and PythonicÂ code today.
Who Should Read This Book:
What Python Developers Say About The Book:
"I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." â Mariatta Wijaya, Python Core Developer
"This book makes you write better Python code!" â Bob Belderbos, Software Developer at Oracle
"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." â Ben Felder, Pythonista
"It's like having a seasoned tutor explaining, well, tricks!" â Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.
Maximize your Excel 2013 experience using VBA application development
The new Excel 2013 boasts updated features, enhanced power, and new capabilities. Naturally, that means John Walkenbach returns with a new edition of his bestselling VBA Programming book and covers all the methods and tools you need to know in order to program with Excel. With this comprehensive guide, "Mr. Spreadsheet" shows you how to maximize your Excel experience using professional spreadsheet application development tips from his own personal bookshelf.
Featuring a complete introduction to Visual Basic for Applications and fully updated for the latest features of Excel 2013, this essential reference includes an analysis of Excel application development and is packed with procedures, tips, and ideas for expanding Excel's capabilities with VBA.
Excel 2013 Power Programming with VBA is packed with procedures, tips, and ideas for achieving Excel excellence with VBA.
Dive into the latest release of the Swift programming language with this advanced development book for building highly performant applications.
This book is for developers who want to delve into the newest version of Swift. If you are a developer who learns best by looking at and working with code, then this book is for you. A basic understanding of Apple's tools is beneficial but not mandatory.
Swift is the definitive language for Apple development today. It's a vital part of any iOS and macOS developer's skillset, helping them to build the most impressive and popular apps on the App Store the sort of apps that are essential to iPhone and iPad users every day. With version 4.0, the Swift team has added new features to improve the development experience, making it easier to get the results you want and customers expect.
Inside, you'll find the key features of Swift 4.0 and quickly learn how to use the newest updates to your development advantage. From Objective-C interoperability and ARC to closures and concurrency, this advanced Swift guide will develop your expertise and help you become fluent in this vital programming language.
We'll give you an in-depth knowledge of some of the most sophisticated elements of Swift development, including protocol extensions, error-handling, design patterns, and concurrency. We'll guide you on how to use and apply them in your own projects. You'll see how to leverage the power of protocol-oriented programming to write flexible and easier-to-manage code.
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.
Ace technical interviews with smart preparation
Programming Interviews Exposed is the programmerâs ideal first choice for technical interview preparation. Updated to reflect changing techniques and trends, this new fourth edition provides insider guidance on the unique interview process that today's programmers face. Online coding contests are being used to screen candidate pools of thousands, take-home projects have become commonplace, and employers are even evaluating a candidate's public code repositories at GitHubâand with competition becoming increasingly fierce, programmers need to shape themselves into the ideal candidate well in advance of the interview. This book doesn't just give you a collection of questions and answers, it walks you through the process of coming up with the solution so you learn the skills and techniques to shine on whatever problems youâre given.
This edition combines a thoroughly revised basis in classic questions involving fundamental data structures and algorithms with problems and step-by-step procedures for new topics including probability, data science, statistics, and machine learning which will help you fully prepare for whatever comes your way.
Technical jobs require the skillset, but you wonât get hired unless you are able to effectively and efficiently demonstrate that skillset under pressure, in competition with hundreds of others with the same background. Programming Interviews Exposed teaches you the interview skills you need to stand out as the best applicant to help you get the job you want.
Rust is a new systems programming language that combines the performance and low-level control of C and C++ with memory safety and thread safety. Rustâs modern, flexible types ensure your program is free of null pointer dereferences, double frees, dangling pointers, and similar bugs, all at compile time, without runtime overhead. In multi-threaded code, Rust catches data races at compile time, making concurrency much easier to use.
Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it. Topics include:
Get Programming with Haskell introduces you to the Haskell language without drowning you in academic jargon and heavy functional programming theory. By working through 43 easy-to-follow lessons, you'll learn Haskell the best possible wayâby doing Haskell!
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Programming languages often differ only around the edgesâa few keywords, libraries, or platform choices. Haskell gives you an entirely new point of view. To the software pioneer Alan Kay, a change in perspective can be worth 80 IQ points and Haskellers agree on the dramatic bene ts of thinking the Haskell wayâthinking functionally, with type safety, mathematical certainty, and more. In this hands-on book, that's exactly what you'll learn to do.
About the Book
Get Programming with Haskell leads you through short lessons, examples, and exercises designed to make Haskell your own. It has crystal-clear illustrations and guided practice. You will write and test dozens of interesting programs and dive into custom Haskell modules. You will gain a new perspective on programming plus the practical ability to use Haskell in the everyday world. (The 80 IQ points: not guaranteed.)
About the Reader
Written for readers who know one or more programming languages.
About The Author
Will Kurt currently works as a data scientist. He writes a blog at www.countbayesie.com, explaining data science to normal people.
Table of Contents
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