Free Download Classic Computer Science Problems in Python Book in PDF Written by David Kopec and Published by Manning Publications Co.
According to the Author, “Python is one of the most popular programming languages in the world, and people become Python programmers from a variety of backgrounds. Some have a formal computer science education. Others learn Python as a hobby. Still others use Python in a professional setting, but their primary job is not to be a software developer. The problems in this intermediate book will help seasoned programmers refresh themselves on ideas from their CS education while learning some advanced features of the language. Self-taught programmers will accelerate their CS education by learning classic problems in the language of their choice: Python. This book covers such a diversity of problem-solving techniques that there is truly something for everyone.
This book is not an introduction to Python. There are numerous excellent books from Manning and other publishers in that vein.1 Instead, this book assumes that you are already an intermediate or advanced Python programmer. Although this book requires Python 3.7, mastery of every facet of the latest version of Python is not assumed. In fact, the book’s content was created with the assumption that it would serve as learning material to help readers achieve such mastery. On the other hand, this book is not appropriate for readers completely new to Python.
Python is used in pursuits as diverse as data science, film-making, computer science education, IT management, and much more. There really is no computing field that Python has not touched (except maybe kernel development). Python is loved for its flexibility, beautiful and succinct syntax, object-oriented purity, and bustling community. The strong community is important because it means Python is welcoming to newcomers and has a large ecosystem of available libraries for developers to build upon.
This book is for both intermediate and experienced programmers. Experienced programmers who want to deepen their knowledge of Python will find comfortably familiar problems from their computer science or programming education. Intermediate programmers will be introduced to these classic problems in the language of their choice: Python. Developers getting ready for coding interviews will likely find this book to be valuable preparation material.
Table of Contents
- Small problems
- Search problems
- Constraint-satisfaction problems
- Graph problems
- Genetic algorithms
- K-means clustering
- Fairly simple neural networks
- Adversarial search
- Miscellaneous problems
- Appendixes
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