Python 3 for Science and Engineering Applications

Description

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 learning basic Python techniques modern Python 3.6+ including comprehensions, decorators and generators complete code available online more than 40 exercises, solutions documented online no additional packages or installation required, 100% pure Python Topics cover: identifying large prime numbers and computing Pi writing and understanding recursive functions with memorisation computing in parallel and utilising all system cores processing text data and encrypting messages comprehending backtracking and solving Sudokus analysing and simulating games of chance to develop optimal winning strategies handling genetic code and generating extremely long palindromes ** Introduction Chapter 1 Basics 1.1 Installation and Programming Environment 1.2 Basic Python 1.3 Principles of Good Programming 1.4 Problem-Solving Skills Chapter 2 Working with Numbers 2.1 Fibonacci 2.2 Prime Numbers 2.3 Collatz 2.4 Pi 2.5 Countdown 2.6 Ulam Spiral 2.7 Total Chaos 2.8 Three Points 2.9 Close Together 2.10 Backtracking 2.11 Numerical Integration Chapter 3 Statistics and Simulations 3.1 Speedtest 3.2 Pi (again) 3.3 Parallelisation 3.4 Random Walk 3.5 Game of Life 3.6 Modelling Populations 3.7 Quick Money 3.8 Many Circles 3.9 Pig 3.10 Bootstrapping Chapter 4 Text Data and Strings 4.1 Dictionary 4.2 LPS 4.3 LCS 4.4 Encryption 4.5 Roman Numerals 4.6 Match Arithmetic 4.7 Superpalindromes 4.8 2048 4.9 The Next Steps Index