Generating correlated random numbers with Python
A note on generating correlated random numbers with Python.continue reading.
A note on generating correlated random numbers with Python.continue reading.
This one-file project fetches Global Surface Summary of the Day (GSOD) from the National Oceanic and Atmospheric Administration (NOAA)’s HTTP server (data are also available on their FTP). See the code...continue reading.
This one-file project fetches Global Surface Summary of the Day (GSOD) from the National Oceanic and Atmospheric Administration (NOAA)’s HTTP server (data are also available on their FTP). See the code...continue reading.
Below is a piece of Python code allowing to download option chains from NASDAQ website. It is basically a big function relying heavily on BeautifulSoup and wrapped into a class (‘c’est chic’)....continue reading.
»’ March 20h, 2016 update: the Eviews workfiles reader described below also works with Eviews9 workfiles. »’ On a side note … In the video below, I show in action the Eviews...continue reading.
Below is a snippet to download the many data sets available on the US EIA‘s website (www.eia.gov). Required user’s inputs are a EIA token and the codes for the series one wants...continue reading.
Updated on Jan 3rd. 2016 – See at the bottom the code for Jupyter notebook 4.0.1 I was willing to pass on data contained in a quite big dataframe — specifically a pandas.DataFrame object...continue reading.
We needed up-to-date Malaysian crude palm oil production data. The MPOB provides such data on its website. It remained to write some ugly but somewhat reliable snippet code in Python, the latter...continue reading.
We wanted to have an idea of the general form of the forward curve for London ICE gasoil futures contracts along the year. The R code below plot a forward curve...continue reading.