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Description
(Text)
If you have mastered the basics of Python and are wanting to explore the language in more depth, this book is for you. By means of concrete examples used in different applications, the book illustrates many aspects of programming (e.g. algorithms, recursion, data structures) and helps problem-solving strategies. Including general ideas and solutions, the specifics of Python and how these can be practically applied are discussed.
Python 3 for Science and Engineering Applications includes:
practical and goal-oriented learningbasic Python techniquesmodern Python 3.6+ including comprehensions, decorators and generatorscomplete code available onlinemore than 40 exercises, solutions documented onlineno additional packages or installation required, 100% pure
Python Topics cover:
identifying large prime numbers and computing Piwriting and understanding recursive functions with memorisationcomputing in parallel and utilising all system coresprocessing text data and encrypting messagescomprehending backtracking and solving Sudokusanalysing and simulating games of chance to develop optimal winning strategieshandling genetic code and generating extremely long palindromes
(Author portrait)
Felix Bittmann is a research associate at the Leibniz Institute for Educational Trajectories and a doctoral candidate at the University of Bamberg, Germany. His research interests include social inequality, the role of education in the course of life, quantitative methods, and the philosophy of science. With a focus on statistical analysis and applied research, Python is an integral and multifunctional tool of his daily workflow.
