Introduction to Python for Econometrics, Statistics and Numerical Analysis: Second Edition

Introduction to Python for Econometrics, Statistics and Numerical Analysis: Second Edition

These notes are designed for someone new to statistical computing wishing to develop a set of skills necessary to perform original research using Python.

Publication date: 05 Aug 2014

ISBN-10: n/a

ISBN-13: n/a

Paperback: 405 pages

Views: 2,111

Type: Lecture Notes

Publisher: n/a

License: n/a

Post time: 29 Oct 2016 08:00:00

Introduction to Python for Econometrics, Statistics and Numerical Analysis: Second Edition

Introduction to Python for Econometrics, Statistics and Numerical Analysis: Second Edition These notes are designed for someone new to statistical computing wishing to develop a set of skills necessary to perform original research using Python.
Tag(s): Python Statistics
Publication date: 05 Aug 2014
ISBN-10: n/a
ISBN-13: n/a
Paperback: 405 pages
Views: 2,111
Document Type: Lecture Notes
Publisher: n/a
License: n/a
Post time: 29 Oct 2016 08:00:00
From the Introduction:
Kevin Sheppard wrote: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.

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About The Author(s)


Professor Kevin Sheppard is Tutorial Fellow in Economics and Associate Professor in Financial Economics at Keble College, Oxford. His research focuses on issues, both theoretical and empirical, in financial econometrics. Specifically, He is interested in volatility and dependance modeling, market microstructure, and portfolio allocation.

Kevin Sheppard

Professor Kevin Sheppard is Tutorial Fellow in Economics and Associate Professor in Financial Economics at Keble College, Oxford. His research focuses on issues, both theoretical and empirical, in financial econometrics. Specifically, He is interested in volatility and dependance modeling, market microstructure, and portfolio allocation.


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