You know how to code…
…but is it enough?
Do you feel left out when other programmers talk about asymptotic bounds?
Have you failed a job interview because you don’t know computer science?
Volume one covers the most frequently referenced topics, including:
– Algorithms and data structures
– Problem-solving techniques
– Complexity theory
The author, a senior developer at a major software company with a PhD in computer science, takes you through what you would have learned while earning a four-year computer science degree. When you finish this book, you’ll have the tools you need to hold your own with people who have – or expect you to have – a computer science degree.
Don’t let the lack of a degree hold back your career. Dive into this book now.
Table of contents
Part I : Computer Science Fundamentals
Chapter 1 : Asymptotic Runtime
Chapter 2 : Data Structures
Chapter 3 : Classes of problems
Part II : Graphs and Graph Algorithms
Chapter 4 : Introduction to Graph Theory
Chapter 5 : Data Structures on Graphs
Chapter 6 : Well – Known Graph Algorithms
Chapter 7 : Common Graph Classes
Part III : Non – Graph Algorithms
Chapter 8 : Sorting Algorithms
Part IV : Problem – Solving Techniques
Chapter 9 : Brute Force or No ?
Chapter 10 : Dynamic Programming
Chapter 11 : Greedy Algorithms
Part V : Complexity Theory
Chapter 12 : Understanding Complexity Theory
Chapter 13 : Languages and State Machines
Chapter 14 : Turing Machines
Publisher:Jaxson Media; Illustrated edition (July 28, 2019)
Item Weight:9.3 ounces
Dimensions:6 x 0.43 x 9 inches
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