Название: Mathematics And Programming For The Quantitative Economist: Fundamentals
Автор: Anthony Tay, Daniel Preve, Ismail Baydur
Издательство: World Scientific Publishing
Год: 2026
Страниц: 646
Язык: английский
Формат: pdf
Размер: 132.2 MB
This book covers calculus, linear algebra, probability and statistics, and computer programming (using Python) at the level required in strong, technically-oriented undergraduate and masters level economics programs. It is the first of a two-volume set, with the second volume focusing on mathematics and programming for networks and dynamic models. Together, the two volumes cover mathematics and programming used in economics, econometrics, Data Science, Machine Learning and Artificial Intelligence (AI). It is intended to be used as a main text for mathematics for economics courses ranging from intermediate to masters levels, and as a resource or reference text for other economics, econometrics and Data Science courses. At the time of writing, Python is the most popular general-purpose language, and the most popular language for Data Science. The minimal set of commands and functions in the Python programming language (called base Python) is powerful on its own. However, the real power of the free and easy to learn Python language lies in its large number of libraries designed for specific tasks. Examples include NumPy for numerical computing, Pandas for working with tabular data, Matplotlib for data visualization, SciPy for scientific computing, and statsmodels for statistical analysis. A typical Python project will use many such libraries.