DataScience with Python:

Found an interesting and useful website for Data science ( trending tech buzz word ) with Python.


2 thoughts on “DataScience with Python:

  1. Hi Chandra,

    Nice to be visiting your blog again, it has been months for me. Well this article that i’ve been waited for so long.
    This is done by rethrowing exception using raise. Python also provide statements to be grouped inside finally which are executed irrespective of exception thrown from within try.

    I have some problems with the library coolpack. I want to add them minor and major lines and to change the numbers from 10^x to real numbers. does anybody know how to do that? I also want to change the scale and tickz and to add some lables for the isotherm and isobar lines, like in a standard ph-Diagramm.
    That is my current code:
    Python Code: (Double-click to select all)
    9 import CoolProp

    from CoolProp.Plots import PropertyPlot
    plot = PropertyPlot(‘R1234yf’, ‘ph’, unit_system=’EUR’)
    plot.title(‘R1234yf log p-h Diagramm’)
    plot.xlabel(r’s $[{kJ}/{kg K}]$’)
    plot.ylabel(r’T $[K]$’)

    Awesome! Thanks for putting this all in one place. Very useful!


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