C# 7.0 in a Nutshell (O'Reilly)
Monday, 29 January 2018

This book covers C# 7.0, the .NET CLR and its core Framework assemblies. Authors Joe Albahari and Ben Albahari have organized the book around concepts and use cases, and this updated edition provides intermediate and advanced programmers with a concise map of C# and .NET knowledge. This focus was chosen to allow space for difficult topics such as concurrency, security, and application domains without compromising depth or readability.

<ASIN:1491987650>

Features new to C# 6 and C# 7 and the associated Framework are flagged so that you can also use this book as a C# 5 and C# 6 reference.

Author: Joe Albahari and Ben Albahari
Publisher: O'Reilly
Date: Oct 2017
Pages: 1090
ISBN: 978-1491987650
Print: 1491987650
Kindle: B076DMK61S
Audience: C# programmers
Level: intermediate
Category: C#

 

 

  • Get up to speed on the C# language, from the basics of syntax and variables to advanced topics such as pointers, operator overloading, and dynamic binding
  • Dig deep into LINQ via three chapters dedicated to the topic
  • Explore concurrency and asynchrony, advanced threading, and parallel programming
  • Work with .NET features, including XML, regular expressions, networking, serialization, reflection, application domains, and security
  • Delve into Roslyn, the modular C# 7.0 compiler-as-a-service

See the review by Mike James of C# 5.0 in a Nutshell (5th Ed) in which he awards a rating of 4.5 out of 5 and concludes:

This is a book C# programmers will find an useful addition to their bookshelves if they require a reference work on C# and the wider framework. Recommended. 

For other recommended C# titles see C# Books - Pick of the Shelf Revisited

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Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

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Data Structures & Algorithms in Python

Author: Dr. John Canning, Alan Broder and Robert Lafore
Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN:978-0134855684
Print: 013485568X
Kindle: B0B1WJF1K9
Audience: Python developers
Rating: 4
Reviewer: Mike James
Data structures in Python - a good idea!



Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.


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