"Highly recommended to everyone interested in deepening their understanding of Python and practical computer science." -Daniel Kenney-Jung, MD, University of Minnesota Key Features
- Master formal techniques taught in college computer science classes
- Connect computer science theory to real-world applications, data, and performance
- Prepare for programmer interviews
- Recognize the core ideas behind most "new" challenges
- Covers Python 3.7
- Search algorithms
- Common techniques for graphs
- Neural networks
- Genetic algorithms
- Adversarial search
- Uses type hints throughout
- Small problems
- Search problems
- Constraint-satisfaction problems
- Graph problems
- Genetic algorithms
- K-means clustering
- Fairly simple neural networks
- Adversarial search
- Miscellaneous problems
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