{"title":"Books by Jay Wengrow","description":null,"products":[{"product_id":"9781680507225","title":"A Common–Sense Guide to Data Structures and Algorithms, 2e","description":"\u003cbr\u003eBinding: Paperback \/ softback","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56302838448501,"sku":"9781680507225","price":36.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781680507225_e8cd33b8-1944-4d1f-b3a9-bb503c045b33.jpg?v=1786024363"},{"product_id":"9798888651322","title":"A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2","description":"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.\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eBenchmark 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.\u003c\/p\u003e\u003cp\u003eLearn these sophisticated techniques and create great software that meets today's challenges.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Need:\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eTo 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.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56311281222005,"sku":"9798888651322","price":53.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9798888651322_f7ce21f6-01e0-40e3-9f08-3f0964587105.jpg?v=1786033077"},{"product_id":"9798888650356","title":"A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1","description":"p\u0026gt;If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work.\u003cp\u003eAlgorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The Python edition uses Python exclusively for all code examples, exercise, and solutions.\u003c\/p\u003e\u003cp\u003eUse Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions.\u003c\/p\u003e\u003cp\u003eUse these techniques today to make your Python code faster and more scalable.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56311454892405,"sku":"9798888650356","price":46.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9798888650356_c031e863-78ef-4a7a-b1ce-9e26a443c374.jpg?v=1786033058"}],"url":"https:\/\/backstory.london\/collections\/author-jay-wengrow.oembed","provider":"Backstory","version":"1.0","type":"link"}