A quick update on my Python coding progress.
I am proud to say that I am actually writing some code that is actually doing stuff in Python. Boy starting something new is time consuming, doing the most mundane tasks that one could do in Excel in a flash takes absolute hours to do in a new language.
I also constantly feel why I am doing this when I know how to code many of these functions in R.
After a couple of weeks of learning I have now accumulated some knowledge which has been further enhanced with the arrival of a few more Python textbooks last week. In summary I am fast falling in love with the Pandas data library in Python which is like learning a whole new language on its own. Pandas has one of the most comprehensive data manipulation functions a data scientist can dream of. I love it, and I am sure in the weeks and months to come if I stay with the learning I will be doing really cool things with the data I come across.
So far I haven’t come across a library like “Performance Analytics” in R, once I come into contact with this type of library in Python then I will feel complete. I believe there is a way to pass R functionality via a wrapper into a Python project. This may be something I will research later today, however my first prize is to stay completely Python native, so anyone with insights into a Performance Analytic type library in Python please let me know.