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: Advances in Econometrics: Theory and ApplicationsAdvances in Econometrics: Theory and Applications
by - InTech
This book provides recent insight on some key issues in econometric theory and applications. It focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models.
(11292 views)
Book cover: Analog Estimation Methods in EconometricsAnalog Estimation Methods in Econometrics
by - Chapman and Hall
This book presents familiar elements of estimation theory from an analog perspective. It discusses recent developments in the theory of analog estimation and presents new results that offer flexibility in empirical research.
(6880 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.
(8227 views)
Book cover: Production Economics: A Dual Approach to Theory and ApplicationsProduction Economics: A Dual Approach to Theory and Applications
by - North-Holland
Chapters: Cost, Revenue, and Profit Functions; Symmetric Duality and Polar Production Functions; Applications of Profit Functions; General Linear Profit Function; Duality, Intermediate Inputs and Value-Added; Hick's Aggregation Theorem; etc.
(7907 views)