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A comment on An Introduction to Stock Market Data Analysis with R – Part 1. Parent comment

Re:An Introduction to Stock Market Data Analysis with R – Pa... by rampage101 on Tuesday March 28, 2017 @01:31AM (#13974343)
People use Python for finance and time series because of how easy it to read in the data. There is a library called pandas which allows you to read in a txt, csv, or excel file easily and do any type of array manipulation you want. The pandas library is written in C++, so it's basically a python wrapper.

Conversely I don't think C++ has this same type of library for reading in data in a single line.

While C++ is faster than Python overall, for most financial simulations Python is definitely fast enough.

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Re:An Introduction to Stock Market Data Analysis with R – Pa... by jzwinck on Tuesday March 28, 2017 @10:55AM (#13977064)
The Pandas library is not written in C at all actually. You can view the source here: https://github.com/pandas-dev/pandas/tree/master/pandas

It's mostly Python with a bit of Cython, and pull requests that are not pure Python are more likely to be rejected. There's basically zero C++ in Pandas itself.

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Re:An Introduction to Stock Market Data Analysis with R – Pa... by em500 on Tuesday March 28, 2017 @10:02AM (#13976627)
Pandas was started as a skunkworks project inside a big hedge fund (AQR) by Wes McKinney (who after a few years at Cloudera is now at another hedge fund, Two Sigma). So it's no coincidence that pandas is very well adapted to financial / investment analysis.
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