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: 281

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.

Home page url

Download or read it online for free here:
Download link
(1.8MB, PDF)

Similar books

Book cover: Statistical Inference in Dynamic Economic ModelsStatistical Inference in Dynamic Economic Models
by - John Wiley & Sons
Quantitative economic study has a threefold basis: it is necessary to formulate economic hypotheses, to collect appropriate data, and to confront hypotheses with data. The latter task, statistical inference in economics, is discussed in this book.
(10199 views)
Book cover: Demand Model Estimation and ValidationDemand Model Estimation and Validation
by - University of California
From the table of contents: Theory and Estimation of Behavioral Travel Demand Models; Development, Testing, and Validaton of a Work-Trip Mode-Choice Model; Modeling Choices Other than Work-Trip; Issues in Demand Modeling and Forecasting.
(11189 views)
Book cover: Optimal Regulation: The Economic Theory of Natural MonopolyOptimal Regulation: The Economic Theory of Natural Monopoly
by - The MIT Press
Optimal Regulation addresses the central issue of regulatory economics -- how to regulate firms in a way that induces them to produce and price 'optimally'. It synthesis an extensive theoretical literature on what constitutes optimality.
(11706 views)
Book cover: Spatial EconometricsSpatial Econometrics
by - University of Toledo
This text provides an introduction to spatial econometrics as well as a set of MATLAB functions that implement a host of spatial econometric estimation methods. The intended audience is faculty and students involved in modeling spatial data sets.
(12630 views)