[center]Introduction to Python for Econometrics, Statistics and Data Analysis | 407 | Kevin Sheppard | [/align]

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.

✅ Contents of download скачать:
⭐️ Introduction to Python for Econometrics, Statistics and Data Analysis, 5th Edition.pdf (4.34 MB)

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✅ Introduction to Python for Econometrics, Statistics and Data Analysis, 5th Edition (4.34 MB)

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