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This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.
Computational Science and Engineering --- Professional Computing --- Programming Techniques --- Software Engineering/Programming and Operating Systems --- Mathematics of Computing --- Programming Language --- Software Engineering --- programming --- Python --- computational science --- data science --- object oriented programming --- open access --- Maths for scientists --- Applied computing --- Computer programming / software engineering --- Operating systems --- Mathematical theory of computation --- Maths for computer scientists
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This open access book constitutes the proceedings of the 29th European Symposium on Programming, ESOP 2020, which was planned to take place in Dublin, Ireland, in April 2020, as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The actual ETAPS 2020 meeting was postponed due to the Corona pandemic. The papers deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.
Programming Languages, Compilers, Interpreters --- Computer Systems Organization and Communication Networks --- Control Structures and Microprogramming --- Information Systems and Communication Service --- Natural Language Processing (NLP) --- Theory of Computation --- artificial intelligence --- computer networks --- computer programming --- computer security --- distributed computer systems --- embedded systems --- formal languages --- formal logic --- linguistics --- mathematics --- model checking --- object-oriented programming --- parallel processing systems --- program compilers --- semantics --- software architecture --- software design --- software engineering --- software quality --- verification and validation --- Programming & scripting languages: general --- Compilers & interpreters --- Computer networking & communications --- Algorithms & data structures --- Natural language & machine translation --- Computer science --- Mathematical theory of computation
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