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194574299
Dynamic Programming by Python Examples (Paperback) by X Y Wang
Item #:
194574299
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Product Details
- 9798852162595. New condition. Trade paperback. Language: English. Pages: 88. Trade paperback (US). Glued binding. 88 p. Advanced Topics in Programming, 27. Dive into the fascinating world of algorithms with Dynamic Programming by Python Examples. This guide takes you from the basics to advanced strategies of dynamic programming, a key technique used to solve complex problems efficiently.Master the principles laid out by Richard Bellman in the 1950s and see them brought to life through a wide array of practical examples. We cover everything from classic problems to advanced topics, with every chapter moving you from theory to practice seamlessly.You'll learn different approaches to dynamic programming, like top-down and bottom-up strategies, and understand how to use memoization and tabulation effectively. We also explore the evolution of dynamic programming, and peek into its future in the face of emerging technologies.Dynamic Programming by Python Examples is perfect for programmers looking to boost their problem-solving skills, students wanting to deepen their understanding of algorithms, or anyone interested in the power of dynamic programming. Take this journey with us to transform the way you approach problem-solving and embrace the art of thinking dynamically.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2023 |
| Pages | 88 |
| Reading level | General |
| Series title | Advanced Topics in Programming |
| Number in series | 27 |
| Edition | Standard Edition |
| Publisher | Independently Published |
| Original languages | English |
| Language | English |
| Assembled product height | 9 in (22.9 cm) |
| Assembled product weight | 0.28 lb (130 grams) |
| Bisac subject heading | Computers |
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Features & Benefits
- Dive into dynamic programming through practical Python examples.
- Learn strategies from basic to advanced concepts effectively.
- Cover both top-down and bottom-up approaches with clear explanations.
- Discover the history and future of dynamic programming.
- Perfect for programmers, students, and anyone interested in algorithms.
- Enhance your problem-solving skills and master key techniques.
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