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 ...
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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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