Introduction to python for econometrics, statistics and data analysis ( PDFDrive com )
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Introduction to python for econometrics, statistics and data analysis ( PDFDrive com )
Introduction to Python for Econometrics, Statistics and Data AnalysisKevin Sheppard University ol OxfordTuesday 5"’ August. 2014Changes since the Seco Introduction to python for econometrics, statistics and data analysis ( PDFDrive com ) ond EditionVersion 2.2.1 (August 2014)•Fixed typos reported by a reader - thanks to Ilya SorvachevVersion 2.2 (July 2014)•Code verified against Anaconda 2.0.1.•Added diagnostic tools and a simple method to use external code in the Cython section.•Updated the Numba section to reflect recent changes.• Introduction to python for econometrics, statistics and data analysis ( PDFDrive com ) Fixed some typos in the chapter on Performance and Optimization.•Added examples of joblib and 1 Python’s cluster to the chapter on running code in parIntroduction to python for econometrics, statistics and data analysis ( PDFDrive com )
allelVersion 2.1 (February 2014)•New chapter introducing object oriented programming as a method to provide structure and organization to related codeIntroduction to Python for Econometrics, Statistics and Data AnalysisKevin Sheppard University ol OxfordTuesday 5"’ August. 2014Changes since the Seco Introduction to python for econometrics, statistics and data analysis ( PDFDrive com ) mics students, the recommended installation has been simplified by removing the suggestion to use virtual environment, rhe discussion of virtual environments as been moved to the appendix.•Rewrote parts ol the pandas chapter.•Code verified against Anaconda 1.9.1.Version 2.02 (November 2013)•Changed Introduction to python for econometrics, statistics and data analysis ( PDFDrive com ) the Anaconda install to use both create and install, which shows how to install additional packages.•Fixed some missing packages in the direct installIntroduction to python for econometrics, statistics and data analysis ( PDFDrive com )
.•Changed the configuration of IlMhon to reflect best practices.•Added subsection covering IPython profiles.Version 2.01 (October 2013)•Updated AnaconIntroduction to Python for Econometrics, Statistics and Data AnalysisKevin Sheppard University ol OxfordTuesday 5"’ August. 2014Changes since the Seco Introduction to python for econometrics, statistics and data analysis ( PDFDrive com ) tionThis edition includes I he following changes from the first edition (March 2012):•1 he preferred installation method is now Continuum Analytics’ Anaconda. Anaconda is a complete scientific stack and is available for all major platforms.•New chapter on pandas, pandas provides a simple but powerfu Introduction to python for econometrics, statistics and data analysis ( PDFDrive com ) l tool to manage data and perform basic analysis, it also greatly simplifies importing and exporting data.•New chapter on advanced selection of elemenIntroduction to python for econometrics, statistics and data analysis ( PDFDrive com )
ts from an array.•Numba provides just-in-time compilation for numeric Python code which often produces large performance gains when pure NumPy solutioIntroduction to Python for Econometrics, Statistics and Data AnalysisKevin Sheppard University ol OxfordTuesday 5"’ August. 2014Changes since the SecoIntroduction to Python for Econometrics, Statistics and Data AnalysisKevin Sheppard University ol OxfordTuesday 5"’ August. 2014Changes since the SecoGọi ngay
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