{"product_id":"libro-classic-computer-science-problems-in-python-easy-to-advanced-programming-challenges-to-sharpen-your-coding-skills-and-improve-your-algorithmic-thinking","title":"Libro: Classic Computer Science Problems in Python: Easy to Advanced Programming Challenges to Sharpen Your Coding Skills and Improve Your Algorithmic Thinking","description":"\u003ctable style=\"border-collapse:collapse;margin-bottom:16px;width:100%\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFormato\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTapa Blanda\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNúmero de páginas\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e224\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003cp\u003eClassic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means.\u003cbr\u003e\u003cbr\u003eClassic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your \"new\" problems\u003cbr\u003e\u003cbr\u003eKey Features\u003cbr\u003e· Breadth-first and depth-first search algorithms\u003cbr\u003e· Constraints satisfaction problems\u003cbr\u003e· Common techniques for graphs\u003cbr\u003e· Adversarial Search\u003cbr\u003e· Neural networks and genetic algorithms\u003cbr\u003e· Written for data engineers and scientists with experience using Python.\u003cbr\u003e\u003cbr\u003eFor readers comfortable with the basics of Python\u003cbr\u003e\u003cbr\u003eAbout the technology\u003cbr\u003ePython is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer.\u003cbr\u003eDavid Kopec teaches at Champlain College in Burlington, VT and is the author of Manning’s Classic Computer Science Problemsin Swift.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProblemas clásicos de informática en Python: desafíos de programación sencillos y avanzados para perfeccionar sus habilidades de codificación y mejorar su pensamiento algorítmico\u003c\/li\u003e\n\u003cli\u003eLIBRO ABIS\u003c\/li\u003e\n\u003cli\u003ePublicaciones Manning\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":59668822491217,"sku":"1617295981","price":258.0,"currency_code":"PEN","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0669\/6455\/3809\/files\/716sqdfodTL.jpg?v=1781810197","url":"https:\/\/provetodo.cl\/es-pe\/products\/libro-classic-computer-science-problems-in-python-easy-to-advanced-programming-challenges-to-sharpen-your-coding-skills-and-improve-your-algorithmic-thinking","provider":"Provetodo ","version":"1.0","type":"link"}