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The Self-Taught Computer Scientist: The Beginner's Guide to Data Structures & Algorithms
87% of respondents would recommend this to a friend
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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.
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- Recommended preparation time for technical interviews is at least two to three months, especially for competitive companies like FAANG.
- Dedicate a few hours each day to solving problems on LeetCode for effective preparation.
- Competitive programming can help in adapting to the unnatural environment of technical interviews. Websites like Codeforces offer a platform to compete against other programmers.
- After getting used to solving challenging problems quickly, try mock interviews with a software engineer, possibly through freelance platforms like Upwork or Codementor.
| 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?
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Aspiring Programmers
Ideal for beginners who want to learn fundamental data structures and algorithms without prior programming experience.
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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.
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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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Features & Benefits
- A beginner's guide to computer science fundamentals essential to programming and software engineering careers
- Focus on data structures and algorithms to help fill knowledge gaps and prepare for technical interviews
- Cory Althoff's second guide for the self-taught community of learners, after the bestselling The Self-Taught Programmer
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