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Algorithms & Data Structures in Python, by Srinivasan Jagannathan, Nareg Sinenian
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This book covers a wide breadth of important and useful subject matter without sacrificing depth. It introduces the reader to the Python programming language, but does not assume deep prior knowledge of computer science or computer programming. The book also provides an in-depth introduction to a variety of algorithms and data structures that are used throughout the industry. In addition, it introduces the reader to important basic concepts in computer science, networking, cryptography, numerical analysis, and computational geometry. The authors provide many illustrative examples written in Python. Python source code of examples used throughout the book can be obtained from: https://github.com/pythonbook/pythonbook
- Sales Rank: #1114601 in Books
- Published on: 2014-11-10
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x .70" w x 6.69" l, 1.09 pounds
- Binding: Paperback
- 310 pages
From the Back Cover
This book covers a wide breadth of important and useful subject matter without sacrificing depth. It introduces the reader to the Python programming language, but does not assume deep prior knowledge of computer science or computer programming. The book also provides an in-depth introduction to a variety of algorithms and data structures that are used throughout the industry. In addition, it introduces the reader to important basic concepts in computer science, networking, cryptography, numerical analysis, and computational geometry. The authors provide many illustrative examples written in Python. I recommend this book for anyone who wants to make a serious, deep dive into the implementation of a wide variety of algorithms and data structures in the Python programming language.
- David M. Cummings, Ph.D.
Algorithms & Data Structures in Python is a valuable text for students in introductory computer science courses, or for scientists and engineers to add computational methods to their repertoire. Python is a good choice for readers at this level due to its wide use and continually gaining popularity in curricula and scientific/engineering applications. The chapters on algorithms and data structures provide an excellent foundation for the student, and scientists learning computational techniques will go further through the later chapters on numerical methods, simulation techniques, and computational geometry.
- Alex B. Zylstra
Most helpful customer reviews
1 of 2 people found the following review helpful.
Great book for Python and Computer Algorithms for both beginners and experts.
By Kusha
Algorithms & Data Structures in Python book appears to be written for both beginners and experts.
The topics are well organized. The explanations are well detailed and supplemented with Python code. The book would help any interested reader understand the algorithms and data structures themselves while giving a good hands-on explanation of workings of Python. The algorithms related discussion builds the underlying concepts in a clear and methodical manner.
All in all, a good book to get you started with either Python or Computer Algorithms; or both.
1 of 2 people found the following review helpful.
Excellent algorithms book!!!
By Arun Sankaranarayanan
This is the first python book I'm reading. I was interested in reading this as it discusses algorithm and DS in Python and not merely Python as a language. This book gradually introduced new topics and the overall flow of this book was good. Reading this I felt it was a very good interview prep book. I learnt a lot of new things reading sections on statistical simulation and computational geometry. For me the best part is the clear and concise way in which the algorithms are presented.
1 of 3 people found the following review helpful.
Enjoyable Python book
By adam
This book starts from very basic Python elements and builds up to more complex ideas quickly. A fairly broad range of topics is covered, but no prior knowledge of Python is required since the authors also give a good introduction to programming in Python. I found this book to be a very good read, and I learned a number of useful things from it. If I were to teach a course on Python programming, I would use this book.
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