Applying Math with Python

Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability calculus and equations using Pythons numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic with the help of step-by-step recipesLearn how to use Python libraries for computation mathematical modeling and statisticsDiscover simple yet effective techniques for solving mathematical equations and apply them in real-world statisticsBook DescriptionThe updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX.Youll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Pythons scientific stack including NumPy SciPy and Matplotlib. As you progress youll gradually get to grips with more advanced topics of calculus probability and networks (graph theory). Once youve developed a solid base in these topics youll have the confidence to set out on math adventures with Python as you explore Pythons applications in data science and statistics forecasting geometry and optimization. The final chapters will take you through a collection of miscellaneous problems including working with specific data formats and accelerating code.By the end of this book youll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.What you will learnBecome familiar with basic Python packages tools and libraries for solving mathematical problemsExplore real-world applications of mathematics to reduce a problem in optimizationUnderstand the core concepts of applied mathematics and their application in computer scienceFind out how to choose the most suitable package tool or technique to solve a problemImplement basic mathematical plotting change plot styles and add labels to plots using MatplotlibGet to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methodsWho this book is forWhether you are a professional programmer or a student looking to solve mathematical problems computationally using Python this is the book for you. Advanced mathematics proficiency is not a prerequisite but basic knowledge of mathematics will help you to get the most out of this Python math book. Familiarity with the concepts of data structures in Python is assumed.