Description
Video edition course “Classical Computer Science Problems in Python”. 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 beginner or a seasoned pro, it’s an aha moment! There’s something for everyone in this book.” James Watson, An Adaptation of Classic Computer Science Problems in Python, deepens your knowledge of problem-solving techniques from the field of computer science by challenging you with tried-and-tested scenarios and algorithms. Slow down. As you work through examples of search, clustering, graphing, and more, you’ll remember important things you’ve forgotten and discover classic solutions to your “new” problems! Computer science problems that are new or unique often seem to rely on classic algorithms, coding techniques, and engineering principles. And classic approaches are still the best way to solve them! Understanding these techniques in Python increases your potential for success in web development, data mining, machine learning. and more. Classic Computer Science Problems in Python strengthens 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 data clustering. Counter with k-means. You’ll especially enjoy the sense of satisfaction that comes with solving problems that connect computer science to real-world concerns about applications, data, performance, and even your next job interview!
What you will learn in the video edition of the course “Classical Computer Science Problems in Python”
- Common diagram techniques
- Neural Networks
- Genetic algorithms
- Enemy Search
- Uses type references throughout
- Covers Python 3.7
Specifications of the Classical Computer Science Problems in Python Video Edition course
- Editor: Oreilly
- Teacher: David Kopec
- Training level: beginner to advanced
- Training duration: 4 hours and 55 minutes
- Number of courses: 38
Course headings
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
Subtitles: None
Quality: 720p
Download link
free download software
File size
491MB