A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills
A mastery of data structures and algorithms lets you write software more quickly; software that works, performs, and scales.
A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills
منتج #: 189011053

A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills

منتج #: 189011053

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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.
الناشرPragmatic Bookshelf
تاريخ النشر21 أكتوبر 2025
اللغةإنجليزي
طول الطباعة500 pages
ISBN-13979-8888651322
وزن العنصر1.88 رطل (850 جرام)
الأبعاد7.5 x 2 x 9.25 بوصة (19.1 x 5.1 x 23.5 سم)

وصف المنتج

A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2: Level Up Your Core Programming Skills

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أسئلة العملاء & الإجابات

  • سؤال: Do I need to read Volume 1 to understand Volume 2?

    إجابه: No, you can understand Volume 2 without having read Volume 1, but familiarity with the concepts discussed there is needed.
  • سؤال: What programming language is used in the book?

    إجابه: The book exclusively uses Python for all code examples, exercises, and solutions.
  • سؤال: What are the prerequisites for using the book's code?

    إجابه: You'll need your favorite text editor and an environment capable of running Python 3.

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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إيجابيات

  • 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

سلبيات

  • Might be too detailed for some casual readers

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