Introduction to Python for Econometrics, Statistics and Data Analysis | 407 | Kevin Sheppard |
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:
️ Introduction to Python for Econometrics, Statistics and Data Analysis, 5th Edition.pdf (4.34 MB)------------------------------------*****------------------------------------
Introduction to Python for Econometrics, Statistics and Data Analysis, 5th Edition (4.34 MB)NitroFlare Link(s) (Premium Link)
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció