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40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python
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RSD 7216
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What Stands Out
Детаљи о производу
| Publisher | Packt Publishing |
| Publication date | June 12, 2020 |
| Edition | Illustrated |
| Language | English |
| Print length | 382 pages |
| ISBN-10 | 1789801214 |
| ISBN-13 | 978-1789801217 |
| Item Weight | 1.44 pounds (650 grams) |
| Dimensions | 7.5 x 0.87 x 9.25 inches (19.1 x 2.2 x 23.5 cm) |
Who Should Buy?
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Aspiring Programmers
New programmers seeking to enhance their algorithmic skills for better problem-solving and coding efficiency in Python.
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Coding Interview Candidates
Individuals preparing for technical interviews that require a strong understanding of algorithms and their practical applications.
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Computer Science Students
Students studying computer science and need to grasp various algorithms as part of their academic curriculum.
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Advanced Developers
Experienced developers who already possess extensive knowledge of algorithms may find the content too basic or redundant.
OPIS PROIZVODA
40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python
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Tools Editorial Review
40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python is an essential read, especially for those looking to strengthen their programming skills. This book impressively covers foundational topics like searching and sorting, gradually introducing more complex algorithms used in machine learning and big data. As noted in reviews, the author's clear writing style, coupled with diagrams and practical Python code, makes the content approachable and engaging for readers of all levels. While the depth of some topics may seem limited, the book serves as a solid reference for analytical professionals, aligning algorithms with various practical use cases.
Customer Reviews & Ratings
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Прос
- Easy to understand with practical examples
- Covers foundational and advanced algorithms
- Includes diagrams for better comprehension
- Well-structured for both beginners and experienced programmers
- Offers complexity analysis for algorithms
Цонс
- Some algorithm topics are oversimplified and could use more depth
Platform Trust & Buyer Confidence
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