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172827885
The Self-Taught Computer Scientist: The Beginner's Guide to Data Structures & Algorithms
87% of respondents would recommend this to a friend
Item #:
172827885
CVE 2895
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What Stands Out
Beginner-Friendly
Designed for novices, this guide simplifies complex concepts of data structures and algorithms, making it accessible for those without prior programming experience.
Practical Examples
Includes real-world applications and coding exercises that allow users to practice and understand various data structures and algorithms effectively.
Comprehensive Coverage
Thoroughly explores a wide range of topics, providing readers with a solid foundation and essential knowledge needed to excel in computer science.
Product Details
- The follow-up to Cory Althoff's bestselling The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn to program outside of school!Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn’t learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer. Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science.The Self-Taught Computer Scientist introduces beginner and self-taught programmers to computer science fundamentals that are essential for success in programming and software engineering fields. Computer science is a massive subject that could cover an entire lifetime of learning. This book does not aim to cover everything you would learn about if you went to school to get a computer science degree. Instead, Cory's goal is to give you an introduction to some of the most important concepts in computer science that apply to a programming career. With a focus on data structures and algorithms, The Self-Taught Computer Scientist helps you fill gaps in your knowledge, prepare for a technical interview, feel knowledgeable and confident on the job, and ultimately, become a better programmer.Learn different algorithms including linear and binary search and test your knowledge with feedback loopsUnderstand what a data structure is and study arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphsPrepare for technical interviews and feel comfortable working with more experienced colleaguesDiscover additional resources and tools to expand your skillset and continue your learning journey It's as simple as this: You have to study computer science if you want to become a successful programmer, and if you don't understand computer science, you won't get hired. Ready for a career in programming, coding, or software engineering and willing to embrace an always be learning mindset? The Self-Taught Computer Scientist is for you.
| Publisher | Wiley |
| Publication date | October 19, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 224 pages |
| ISBN-10 | 1119724414 |
| ISBN-13 | 978-1119724414 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.4 x 0.7 x 9 inches (18.8 x 1.8 x 22.9 cm) |
Who Should Buy?
-
Aspiring Programmers
Ideal for beginners who want to learn fundamental data structures and algorithms without prior programming experience.
-
Self-learners
Perfect for individuals pursuing self-study in computer science, offering a structured approach to complex topics.
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Students
Great supplementary material for computer science students needing clarity on data structures and algorithms for coursework.
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Advanced Coders
Not suitable for experienced programmers as it covers basic concepts that may not challenge their skills.
Product Description
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Algorithms Editorial Review
**** "The Self-Taught Computer Scientist: The Beginner's Guide to Data Structures & Algorithms" has been warmly received by its audience, especially among budding data engineers and self-taught programmers. Readers appreciate the straightforward approach the author, Cory, takes in explaining complex concepts, making them accessible for beginners. The book excels in its clarity, with many users highlighting the well-structured code sections that serve both pedagogical and practical purposes; readers feel confident in directly applying the book's theories to real-world projects. While many laud the book for its foundational coverage of data structures and algorithms, there are calls for more advanced examples and a deeper exploration of certain topics. This feedback indicates that while it is an excellent starting point, it may not fully satisfy those looking to deepen their understanding beyond the basics. Despite some concerns regarding the quality of printing, readers overwhelmingly agree on the effectiveness of the explanations and the memorable visuals that accompany them, making this text a valuable resource for anyone looking to grasp the essentials of data structures and algorithms. **
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Pros
- Clear and straightforward explanations.
- Well-structured code sections that are easy to understand.
- Practical application of concepts to real-world coding scenarios.
- Excellent resource for beginners and self-taught programmers.
Cons
- Lacks advanced examples and deeper content.
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