Data structures and algorithms in python book
Best Books to Learn Python for Beginners and Experts in - GeeksforGeeksThanks for voting! Please tell us why you like it! Please tell us why you don't like it! Thank you for sharing your experience! Your comment will be reviewed and published shortly.
Do You Need To Learn Data Structures and Algorithms?
ISBN 13: 9781118290279
Some programmers say that Python is a great first language to learn while others claim that it is a great last language to learn!!!! Whatever the case, it is indisputable that Python is an extremely popular language to learn. According to the TIOBE Index , it is the third most popular programming language in the world currently and this extraordinary growth is only set to increase. Keeping this in mind, if you want to learn Python , there are many resources available in the market. These can include books or even online courses.
This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. The text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python. Students of computer science will find this clear and concise textbook to be invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels.
In data science, algorithms and data structures make up the function and storage of data collecting.
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Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. This all-new Data Structures and Algorithms in Python is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors take advantage of the beauty and simplicity of Python to present executable source code that is clear and concise. Furthermore, a consistent object-oriented viewpoint is retained throughout the book, including the use of inheritance, both to maximize code reuse and to draw attention to the clear similarities and differences of various abstract data types and algorithmic approaches. The cover art is based on an indigenous Australian painting style portraying what is known as Dreamtime. This style is traditionally iconic and representative of connections between points of interest or concepts; hence, it is a fitting way to capture at a high level the connections and points of interest used to visualize data structures and algorithms.
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