Introduction to Python for Econometrics, Statistics and Numerical Analysis
by Kevin Sheppard
2012
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.
Download or read it online for free here:
Download link
(1.8MB, PDF)
Similar books

by Jason D. Hartline
The text presents the classical theory of economic mechanism design and introduces a new theory of approximation for mechanism design. A central theme will be the tradeoff between optimality and other desirable properties such as simplicity, etc.
(6311 views)

by Michael Creel - Universitat Autonoma de Barcelona
Textbook for graduate econometrics, it teaches ordinary least squares, maximum likelihood estimation, restrictions and hypothesis test, stochastic regressors, exogeneity and simultaneity, numeric optimization methods, method of moments, etc.
(20760 views)

by William H. Miernyk - Random House Inc
This volume is designed to give the reader an understanding of how the input-output system works; it is not a guide to the construction of an interindustry transactions table. Most of this book deals with a static, open input-output model.
(9257 views)

by Tom Domencich, Daniel L. McFadden - North-Holland Publishing
'Urban Travel Demand' develops a theory of demand for populations of individual economic consumers which we believe is a logical and natural generalization of traditional theory to encompass choice among discrete alternatives.
(13810 views)