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: Mechanism Design and ApproximationMechanism Design and Approximation
by
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.
(7051 views)
Book cover: US Financial Debt Crisis: A Stochastic Optimal Control ApproachUS Financial Debt Crisis: A Stochastic Optimal Control Approach
by - Springer
Stochastic Optimal Control (SOC) is very helpful in understanding and predicting debt crises. The mathematical analysis is applied empirically to the financial debt crisis of 2008, the crises of the 1980s and the European debt crisis.
(9936 views)
Book cover: EconometricsEconometrics
by - University of Wisconsin
Econometrics is the study of estimation and inference for economic models using economic data. Econometric theory concerns the study of tools and methods for applied econometric applications. This is a first-year Ph.D. econometrics textbook.
(16910 views)
Book cover: Efficient Estimation With A Priori InformationEfficient Estimation With A Priori Information
by - Yale University Press
This book presents an attempt at unifying certain aspects of econometric theory by embedding them in a more general statistical framework. The unifying feature is the use of a priori information and the basic tool is the Cramer-Rao inequality.
(10099 views)