
Introduction to Python for Econometrics, Statistics and Data Analysis
Kevin Sheppard
Introduction to Python for Econometrics, Statistics and Data Analysis
Kevin Sheppard
Book Details:
Year: | 2014 |
Publisher: | University of Oxford |
Pages: | 405 pages |
Language: | english |
Since: | 21/07/2014 |
Size: | 1.96 MB |
License: | Pending review |
Content:
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...
Categories:
Tags:
Loading comments...
Scanning lists...
The book in numbers
rank in categories
online since
21/07/2014rate score
42votes
10Social likes
2Views
Downloads
Interest
Countries segmentation
Source Referers
Websites segmentation
evolution
Loading...