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Classic Computer Science Problems in Python
Provides a comprehensive exploration of fundamental computer science concepts and their practical applications using Python 3.7. It covers various problem-solving techniques, including recursion, memoization, and bit manipulation, starting with basic search algorithms like binary search, depth-first search (DFS), and breadth-first search (BFS). The book progresses to more complex topics such as constraint-satisfaction problems (CSPs), graph algorithms (including shortest path and minimum spanning tree), genetic algorithms, and K-means clustering. It also introduces neural networks and discusses miscellaneous problems like the knapsack problem and the Traveling Salesman Problem, emphasizing how these classic solutions apply to real-world scenarios and modern software development challenges.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Classic-Computer-Science-Problems-Python/dp/1617295981?&linkCode=ll1&tag=cvthunderx-20&linkId=508b20e6d516674e254fc393124394ff&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Classic-Computer-Science-Problems-Python/dp/1617295981?&linkCode=ll1&tag=cvthunderx-20&linkId=508b20e6d516674e254fc393124394ff&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
Provides a comprehensive exploration of fundamental computer science concepts and their practical applications using Python 3.7. It covers various problem-solving techniques, including recursion, memoization, and bit manipulation, starting with basic search algorithms like binary search, depth-first search (DFS), and breadth-first search (BFS). The book progresses to more complex topics such as constraint-satisfaction problems (CSPs), graph algorithms (including shortest path and minimum spanning tree), genetic algorithms, and K-means clustering. It also introduces neural networks and discusses miscellaneous problems like the knapsack problem and the Traveling Salesman Problem, emphasizing how these classic solutions apply to real-world scenarios and modern software development challenges.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Classic-Computer-Science-Problems-Python/dp/1617295981?&linkCode=ll1&tag=cvthunderx-20&linkId=508b20e6d516674e254fc393124394ff&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Classic-Computer-Science-Problems-Python/dp/1617295981?&linkCode=ll1&tag=cvthunderx-20&linkId=508b20e6d516674e254fc393124394ff&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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