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{ "item_title" : "Data Structures Algorithms Essentials", "item_author" : [" Solomon "], "item_description" : "This e-book is the Basics Edition. It illustrates the common, and essential data structures algorithms underscoring the BIG O Time Complexity basics. It also details, with examples, using one of the world's most commonly used programming language (C# - pronounced CSharp) to describe how it can be applied or implemented by developers, and novices alike, for the real-life scenario solutions, with codes, and including useful references. The objective is to help, established software developers, up-coming developers, scientists, mathematicians, and software novices alike. It captures the common, and the essential basics of data structures algorithms of the BIG O Time Complexity, and described them in clear, and unambiguous terms, detailing where and how to apply them in solution development in the real world, with great examples written with C# programming language. This can also be applied to any other programming language, such as Java, PHP, Ruby, C, C++, F# etc, just to mention a few. The aim is also to make it, serve as a first-hand personal reference guide, for anyone that may need it, or have to tackle solution/s involving, the BIG O Time Complexity with data structure algorithms, but also software developers/programmers, scientists, mathematicians, who may have at one point in their solution designing, and implementation work life, encountered the BIG O Time Complexity scenarios. This e-book provides a comprehensive basic list, and addresses, the down-to-basics, of how to handle, implement the time complexity issues, and how to turn them into viable implementable real-life solutions, using C# programming language.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/69/464/198/1694641988_b.jpg", "price_data" : { "retail_price" : "14.99", "online_price" : "14.99", "our_price" : "14.99", "club_price" : "14.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Structures Algorithms Essentials|Solomon

Data Structures Algorithms Essentials : Common BIG O Time Complexity Basics, with Real-life Implementation Solutions in C#

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Overview

This e-book is the Basics Edition. It illustrates the common, and essential data structures algorithms underscoring the BIG O Time Complexity basics. It also details, with examples, using one of the world's most commonly used programming language (C# - pronounced CSharp) to describe how it can be applied or implemented by developers, and novices alike, for the real-life scenario solutions, with codes, and including useful references. The objective is to help, established software developers, up-coming developers, scientists, mathematicians, and software novices alike. It captures the common, and the essential basics of data structures algorithms of the BIG O Time Complexity, and described them in clear, and unambiguous terms, detailing where and how to apply them in solution development in the real world, with great examples written with C# programming language. This can also be applied to any other programming language, such as Java, PHP, Ruby, C, C++, F# etc, just to mention a few. The aim is also to make it, serve as a first-hand personal reference guide, for anyone that may need it, or have to tackle solution/s involving, the BIG O Time Complexity with data structure algorithms, but also software developers/programmers, scientists, mathematicians, who may have at one point in their solution designing, and implementation work life, encountered the BIG O Time Complexity scenarios. This e-book provides a comprehensive basic list, and addresses, the down-to-basics, of how to handle, implement the time complexity issues, and how to turn them into viable implementable real-life solutions, using C# programming language.

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Details

  • ISBN-13: 9781694641984
  • ISBN-10: 1694641988
  • Publisher: Independently Published
  • Publish Date: October 2019
  • Dimensions: 9 x 6 x 0.33 inches
  • Shipping Weight: 0.48 pounds
  • Page Count: 142

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