Description
Classic Computer Science Problems in Python video edition course. In the video versions, the narrator reads the book while the table of contents, figures, code lists, diagrams, and text appear on the screen. Like an audio book that you can also watch as a video. Whether you’re a novice or a seasoned pro, an Aha moment! There is something in this book for everyone.” James Watson’s Adaptation of 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. As you work through examples in search, clustering, graphing, and more, you’ll remember important things you forgot and discover classic solutions to your “new” problems! Computer science problems that seem new or unique often have roots in classical algorithms, coding techniques, and engineering principles. And classical approaches are still the best way to solve them! Understanding these techniques in Python will increase your potential for success in web development, data mining, machine learning, and more. Classic Computer Science Problems in Python will strengthen your CS problem-solving skills with scenarios, exercises, and tested algorithms using Python. You’ll tackle dozens of coding challenges, from simple tasks like binary search algorithms to clustering data using k-means. You’ll especially enjoy the sense of satisfaction when you solve problems that connect computer science to real-world concerns of applications, data, performance, and even your next job interview!
What you will learn in the course Classic Computer Science Problems in Python video edition
- Common techniques for graphs
- Neural Networks
- Genetic algorithms
- Hostile search
- Uses type hints throughout
- Covers Python 3.7
Specifications of the course Classic Computer Science Problems in Python video edition
- Publisher: Oreilly
- teacher: David Kopec
- Training level: beginner to advanced
- Training duration: 4 hours and 55 minutes
- Number of courses: 38
Course headings
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Volume
491 MB
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