Classic Computer Science Problems in Python
Product ID: 289723653
🐍Python-focused classic algorithms
📊76 in Programming Algorithms
🧠Covers neural networks & AI basics
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Description
🐍 Unlock Python’s classic power moves — code smarter, not harder!
- EXPLORE AI FOUNDATIONS - Dive into neural networks and genetic algorithms to future-proof your data science toolkit.
- MASTER TIMELESS ALGORITHMS - From binary search to k-means clustering, conquer core CS challenges with Python precision.
- LEVEL UP YOUR PYTHON SKILLS - Designed for pros ready to deepen Python fluency beyond basics—no hand-holding, just pure growth.
- PRACTICAL CONCISE LEARNING - Clear, narrative-driven examples that make complex concepts accessible and immediately applicable.
- JOIN A COMMUNITY OF INNOVATORS - Ranked top 100 in Programming Algorithms—don’t miss out on what 140+ reviewers rave about.
Classic Computer Science Problems in Python is a must-have for intermediate to advanced Python programmers eager to master essential algorithms and AI techniques. With hands-on challenges covering search algorithms, clustering, graphs, and neural networks, this book sharpens your coding skills through practical, real-world problems. Authored by David Kopec and published by Manning, it’s a top-ranked resource praised for its clarity and depth, perfect for data engineers and scientists ready to elevate their Python expertise.
Specifications
| Best Sellers Rank | #156,360 in Books ( See Top 100 in Books ) #77 in Programming Algorithms #208 in Web Programming #322 in Computer Programming Languages |
| Customer reviews | 4.4 4.4 out of 5 stars (142) |
| Dimensions | 18.75 x 1.02 x 23.5 cm |
| Edition | Illustrated |
| ISBN-10 | 1617295981 |
| ISBN-13 | 978-1617295980 |
| Item weight | 381 g |
| Language | English |
| Print length | 224 pages |
| Publication date | 27 May 2019 |
| Publisher | Manning Publications |
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