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26629863
40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python
86% of respondents would recommend this to a friend
Nº de artículo:
26629863
DOP 4036
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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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What Stands Out
Comprehensive Coverage
This book includes 40 essential algorithms, ensuring programmers develop a strong foundation in problem-solving skills across diverse topics and applications, enhancing both beginner and advanced coding capabilities.
Python Implementation
Illustrates each algorithm with real Python code examples, making it easier for readers to grasp concepts and apply them practically, thus bridging the gap between theory and hands-on programming experience.
Visual Learning Aids
The illustrated edition enhances understanding through visual aids, simplifying complex ideas and allowing readers to quickly absorb and retain algorithmic concepts, resulting in more effective learning.
Detalles de producto
- 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?
-
Aspiring Programmers
New programmers seeking to enhance their algorithmic skills for better problem-solving and coding efficiency in Python.
-
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.
DESCRIPCIÓN DEL PRODUCTO
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.
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ventajas
- 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
Contras
- Some algorithm topics are oversimplified and could use more depth
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características y beneficios
- 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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