Introduction to Python for Econometrics, Statistics and Data Analysis
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2014 | ISBN: n/a | English | 405 pages | PDF | 2 MB
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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