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Item #:
30598298
Python Algorithms: Mastering Basic Algorithms in the Python Language
Item #:
30598298
SAR 271
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Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design.
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Product Details
- Explains the Python approach to algorithm analysis and design
- Sharply focused on classical algorithms and fundamental algorithmic problem-solving techniques
- Covers algorithmic theory and programming practice with real Python programs
- Explains well-known algorithms and data structures built into the Python language
- Shows how to implement and evaluate other algorithms
- Written by Magnus Lie Hetland, author of Beginning Python
| Publisher | Apress |
| Publication date | September 4, 2014 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 148420056X |
| ISBN-13 | 978-1484200568 |
| Item Weight | 1.25 pounds (570 grams) |
| Dimensions | 7.52 x 0.73 x 9.25 inches (19.1 x 1.9 x 23.5 cm) |
Product Description
Python Algorithms: Mastering Basic Algorithms in the Python Language
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Software Development Editorial Review
The Python Algorithms: Mastering Basic Algorithms in the Python Language 2nd ed. Edition is highly praised for its clear and thorough explanations of algorithms. The author's use of plain English and pythonic code makes it easy for beginners to understand and apply the concepts. Readers have found it to be a valuable resource for learning algorithms, especially for those using Python. The quality and clarity of the material have impressed many readers, and they highly recommend this book.
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Pros
- Clear and thorough explanations of algorithms
- Easy to understand and apply the concepts
- Valuable resource for learning algorithms
- Pythonic code
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Features & Benefits
- Focus on classical algorithms
- Solid understanding of fundamental algorithmic problem-solving techniques
- Covers important and challenging areas of programming and computer science
- Demonstrates how theory is reflected in real Python programs
- Explains built-in algorithms and data structures in Python
- Shows how to implement and evaluate other algorithms
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