Home : Book details : Book description

Description of  Classic Computer Science Problems in Python (Video Edition) (Manning)

March 2019 | Created By David Kopec MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lessons 4 hours 55 minutes | Size: 709 MB Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios and algorithms. "Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." James Watson, Adaptive Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview! Inside Search algorithms Common techniques for graphs Neural networks Genetic algorithms Adversarial search Uses type hints throughout Covers Python 3.7 This book/course is made for For intermediate Python programmers. David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014) and Classic Computer Science Problems in Swift (Manning, 2018). A fun way to get hands-on experience with classical computer science problems in modern Python. Jens Christian Bredahl Madsen, IT Relation Daniel Kenney-Jung, MD, University of Minnesota Classic problems presented in a wonderfully entertaining way with a language that always seems to have something new to offer. Sam Zaydel, RackTop Systems NARRATED BY LISA FARINA