Logo

Introduction to Python for Econometrics, Statistics and Numerical Analysis

Small book cover: Introduction to Python for Econometrics, Statistics and Numerical Analysis

Introduction to Python for Econometrics, Statistics and Numerical Analysis
by


Number of pages: 380

Description:
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer. They may also be useful for an experienced Python programmer interested in using NumPy, SciPy, and matplotlib for numerical and statistical analaysis.

Download or read it online for free here:
Download link
(4.1MB, PDF)

Similar books

Book cover: EconometricsEconometrics
by - BookBoon
This book covers the most basic concepts in econometrics. Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained.
(19448 views)
Book cover: Non-Extensive Entropy Econometrics for Low Frequency SeriesNon-Extensive Entropy Econometrics for Low Frequency Series
by - De Gruyter Open
The book provides a new, non-extensive entropy econometrics approach to the economic modelling of ill-behaved inverse problems. Particular attention is paid to national account-based general equilibrium models known for their relative complexity.
(7561 views)
Book cover: The Computation of Economic EquilibriaThe Computation of Economic Equilibria
by - Yale University Press
Contents: Problem of Computing Equilibrium Prices; Determination of an Approximate Fixed Point of Continuous Mapping; Numerical Applications of Brouwer's Theorem; An Extension of the Algorithm; Computation of Equilibria in a General Walrasian Model.
(11779 views)
Book cover: Discrete Choice Methods with SimulationDiscrete Choice Methods with Simulation
by - Cambridge University Press
The book describes the new generation of discrete choice methods, focusing on the advances that are made possible by simulation. Researchers use these methods to examine the choices that consumers, households, firms, and other agents make.
(16928 views)