The book features hundreds of interesting and practical examples of well-written Go code that cover the whole language, its most important packages, and a wide range of applications. Each chapter has exercises to test your understanding and explore extensions and alternatives. Source code is freely available for download from http://gopl.io/ and may be conveniently fetched, built, and installed using the go get command.
C++11 has arrived: thoroughly master it, with the definitive new guide from C++ creator Bjarne Stroustrup, C++ Programming Language, Fourth Edition! The brand-new edition of the world's most trusted and widely read guide to C++, it has been comprehensively updated for the long-awaited C++11 standard. Extensively rewritten to present the C++11 language, standard library, and key design techniques as an integrated whole, Stroustrup thoroughly addresses changes that make C++11 feel like a whole new language, offering definitive guidance for leveraging its improvements in performance, reliability, and clarity. C++ programmers around the world recognize Bjarne Stoustrup as the go-to expert for the absolutely authoritative and exceptionally useful information they need to write outstanding C++ programs. Now, as C++11 compilers arrive and development organizations migrate to the new standard, they know exactly where to turn once more: Stoustrup's C++ Programming Language, Fourth Edition.
Move into iOS development by getting a firm grasp of its fundamentals, including the Xcode 9 IDE, Cocoa Touch, and the latest version of Appleâs acclaimed programming language, Swift 4. With this thoroughly updated guide, youâll learn the Swift language, understand Appleâs Xcode development tools, and discover the Cocoa framework.
In this edition, catch up on the latest iOS programming features.
Once you master the fundamentals, youâll be ready to tackle the details of iOS app development with author Matt Neuburgâs companion guide, Programming iOS 11.
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.
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.
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