Rahul gives unsolicited advice

The asterisk after first is because I have contributed to open source software that Enthought (my employer at the moment) maintains so these are my first contributions to a project which isn't maintained by Enthought. Also, i'm not counting opening issues on open source software as contributions at the moment, which I have done a couple of times in the past. In this specific case, I was looking at code in the Jupyter ecosystem in Python and I came across a few trivial changes that could be made in the projects, given that they dropped support for Python 2 and only supported Python 3. Remove u string prefixes from ipykernel, Remove Python 2 compatibility code from ipykernel, Remove Python 2 compatibility code from jupyter_client . There are actually a few more PRs (5 more, I think), for  which I am waiting for reviews. But they all make pretty much the same kind of changes. If you took a look at the PRs, you will notice that the changes themselves are extremely trivial and prett...

For those of you who don't know, Pandas ( http://pandas.pydata.org/pandas-docs/stable/ ) is a data analysis/manipulation library in Python. Most people download it using pip ( https://pip.pypa.io/en/stable/ ) which is the PyPA (Python Packaging Authority) recommended tool for installing Python packages. pip downloads the library from PyPI ( https://pypi.python.org/pypi ), which is the Python Package Index. Now, having introduced you to the jargon, let me get to the point. Because most people install Pandas using pip, PyPI has a count on the total number of Pandas downloads. Well, not just Pandas downloads but pretty much every Python library installed using pip. And, you know what, all of the data is available publicly via Google BigQuery ( https://bigquery.cloud.google.com/table/the-psf:pypi.downloads ). Think about all the data. Think about all the questions. For now, I'm going to ask a few questions, specific to the Pandas library. 1. How many people have downloaded ...