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Overview: Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics. Python is a leading programming language in the scientific world. It is perfectly adapted to program mathematical problems. This book focuses on the practical use of the Python language in different areas of mathematics: sequences, linear algebra, integration, graph theory, finding zeros of functions, probability, statistics, differential equations, symbolic calculus, and number theory. Through 55 exercises of increasing difficulty, and corrected in detail, it gives a good overview of the possibilities of using programming in mathematics and to be able to solve complex mathematical problems. It is not necessary to do the exercises in the order suggested, even if some exercises sometimes call upon notions seen in previous exercises. This book does not aim to explain the syntax and principles of the Python language, so the prerequisite is to know the basics. Moreover, the realization of the exercises requires access to a computer or an online service with Python 3.6 (or more recent) completed by the following modules: NumPy, SciPy, SymPy, Matplotlib, Numba, NetworkX, and Pandas.
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