In Chapter 10 of Two Scoops of Django I expanded on those made up statistics:
Important Disclaimer: These numbers were cooked out of thin air by yours truly. I determined them with zero research, they carry absolutely no scientific weight, and shouldn't be used in any serious argument. They are wholly my opinion, which is good or bad depending on your point of view and your own opinion of my opinions.
With that out of the way, here's a bar graph created from the fictional data I presented with Miguel back in 2011:
You'll notice that my bar titles could be stronger. I actually did that on purpose in case anyone tries to use that chart in real life. In any case, if you thought that was interesting, then read on. I have many more made-up statistics. For example, here are more numbers I've cooked up:
Thanks to the cloud and a blizzard of hip, new tools, DevOps is the new hotness. I know because every other Python meetup features someone speaking on it - just like every other Ruby, Perl, and PHP meetup. Anyway... numbers:
This time, because I'm worried about the data being taken seriously, I've titled the bar chart in such a way that no one will reference it in anything important:
Following the obvious logic flow (to me anyway) of DevOps to something else, let's go into Python environments, also known as the VirtualEnv vs Buildout debate, which adds up to an even 100% (making it good pie chart material):
The made up statistics in this post frequently touch on contentious topics. So let me add another controversial topic, this time the never ending template debate in Python:
The display for this data is a lovely pie chart as seen below. In order to make it appear more useful, I made it a 3-D pie chart:
I sometimes get asked how to best optimize a Django site. My answer is 'optimize your queries and use caching'. On the other hand, there are those who disagree with me and start switching out Django internals before doing anything silly like looking at I/O. My bet is this same thing happens with other frameworks such as Flask and Pyramid.
Of all the made up statistics in this blog post, I suspect this is the one closest to the truth of things.
Alright, let's conclude this article with some statistics I cooked up in regards to various Python related topics.
No chart? Getting this one to look meaningful was turning into a herculean effort. I invite others to render this data into something that look attractive and doesn't lose meaning. Come up with something impressive and I'll put it into a follow-up blog post.
Note: This is a reprint and update of an earlier article.
Update: Added link to the Python Packaging User Guide.
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