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Introduction to Python for Econometrics, Statistics and Data Analysis

Introduction to Python for Econometrics, Statistics and Data Analysis

Introduction to Python for Econometrics, Statistics and Data Analysis

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Year:2014
Publisher:University of Oxford
Pages:405 pages
Language:english
Since:21/07/2014
Size:1.96 MB
License:Pending review

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These notes are designed for someone new to statistical computing wishing to develop a set of skills necessary to perform original research using Python. They should also be useful for students, researchers or practitioners who require a versatile platform for econometrics, statistics or general numerical analysis (e.g. numeric solutions to economic models or model simulation).

Python is a popular general purpose programming language which is well suited to a wide range of problems.

Recent developments have extended Python's range of applicability to econometrics, statistics and general numerical analysis. Python – with the right set of add-ons – is comparable to domain-specific languages such as R, MATLAB or Julia.

Having read the reasons to choose another package, you may wonder why you should consider Python...

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