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189011053
A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills
Item #:
189011053
BAM 196
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- Want to write code that pushes the boundaries of speed, space savings, and scalability? Then you need more advanced data structures and algorithms. Go beyond Big O notation and evaluate the true efficiency of each algorithm you design. Pull out data structures such as B-trees, bit vectors, and Bloom filters to wrangle big data. Wield techniques like caching, randomization, and fingerprinting to tame even the most demanding applications. With simple language, clear diagrams, and practice exercises and solutions, this book makes these topics easy to grasp. Go beyond the basics and use these next-level concepts to build software that's ready to take on the challenges of the real world.The applications you write get more complex by the day. To keep up, you need to ensure your knowledge and techniques grow, too. A mastery of data structures and algorithms lets you write software more quickly; software that works, performs, and scales. Volume 2 of the series takes your knowledge of data structures and algorithms to the next level. With this practical and easy-to-understand guide, you'll create software that can tackle today's challenging problems head on. This Python edition uses Python exclusively for all code examples, exercises, and solutions.Benchmark your Python code to learn its true speed. Design fast and elegant solutions by connecting different data structures together. Use Monte Carlo algorithms to push the limits of your application's speed and memory savings in surprising ways. Wrangle big data with B-trees and other specialized algorithms. Design efficient algorithms by cleverly sprinkling in a bit of randomization. Cram tons of data into tiny bit vectors and Bloom filters. And leverage caching to make your software blazingly fast.Learn these sophisticated techniques and create great software that meets today's challenges.What You Need:To explore and execute the book's code, you'll need your favorite text editor and an environment that can run Python 3. While you needn't have read Volume 1 of this book to understand the current volume, you do need to be familiar with the concepts discussed there.
| Publisher | Pragmatic Bookshelf |
| Publication date | October 21, 2025 |
| Language | English |
| Print length | 500 pages |
| ISBN-13 | 979-8888651322 |
| Item Weight | 1.88 pounds (850 grams) |
| Dimensions | 7.5 x 2 x 9.25 inches (19.1 x 5.1 x 23.5 cm) |
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A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills
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Structured Design Editorial Review
A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills is a comprehensive resource for Python enthusiasts looking to enhance their programming abilities. Published by Pragmatic Bookshelf, this book spans 500 pages filled with insightful content to elevate your understanding of data structures and algorithms. Readers appreciate the clear explanations and practical examples, making it an excellent choice for both beginners and seasoned programmers. Whether you're preparing for coding interviews or simply seeking to improve your skills, this guide offers valuable techniques and strategies to tackle complex tasks in Python effectively.
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Pros
- Excellent for enhancing programming skills
- Clear explanations of complex concepts
- Ideal for beginners and experienced developers
- Practical examples throughout the text
- Comprehensive resource for data structures
Cons
- Might be too detailed for some casual readers
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Features & Benefits
- Elevate your programming skills with advanced data structures and algorithms.
- Learn to benchmark your Python code for true speed.
- Design efficient solutions with innovative techniques like randomization and caching.
- Utilize specialized algorithms like B-trees for big data management.
- Create software ready to tackle complex real-world challenges.
- Easy-to-understand language with diagrams and practical exercises.
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