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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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This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works.
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Produkto Aprašymas
- Learn 40 essential algorithms for problem-solving and coding efficiency
- Explore a wide range of algorithms, including machine learning and cryptography
- Understand algorithm design techniques and implementation in Python with practical examples
- Discover applications such as fraud detection, weather prediction, and recommendation engines
- Ideal for programmers with Python experience seeking to enhance their algorithmic skills
- Comprehensive coverage of data structures, sorting, graph algorithms, and practical considerations
| 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.
PRODUKTO APRAŠYMAS
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
Overall, customer reception of this book is mixed. While some customers find it to be a great introductory book and an excellent resource for learning algorithms in Python, others have encountered numerous typos, errors in code examples, and ambiguous language. Some customers also feel that the depth of coverage is limited and that certain algorithms are glossed over or oversimplified. However, the book does provide complexity analysis and covers a good range of relevant topics.
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Argumentai
- Great introductory book for learning algorithms in Python
- Well-written and well-presented
- Provides complexity analysis
- Covers a good range of relevant topics
Minusai
- Numerous typos
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Savybės ir privalumai
- Learn different algorithms and their implementation in Python
- Explore different types of algorithms and choose the right data structures for their optimal implementation
- Work with machine learning algorithms and understand the math and logic behind them
- Learn parallel processing techniques to solve compute-intensive tasks
- A useful guide for both beginners and experienced programmers
- Python programming experience is required
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