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helping robots conquer the earth and trying not to increase entropy using Python, Data Engineering and Machine Learning

http://luminousmen.com

License: CC BY-NC-ND 4.0
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​​Looping through Pandas DataFrames can be very slow. Stick on this chart.
Original post

#python
​​At Indiegogo for $259 you can buy an autoblow sex toy, which, using machine learning, will show you "the best blowjob practices of the world" (10 modes), the main thing is to plug it into a power outlet.

And now for the really nice part:

A documentary made by the company says that the system was trained mainly by people.

A group of people in Serbia was instructed to sit on Pornhub for hours and use a special browser plug-in to capture the rhythm of how this happens on video.

No comment🍆
Apache Spark is the major talking point in Big Data pipelines, boasting performance 10-100x faster than comparable tools. But how achievable are these speeds if you use a slow Python interpreter?

https://luminousmen.com/post/spark-tips-dataframe-api
​​⁠Services by type in various clouds and on-premises.

The picture from the beginning of 2019 is useful for finding similar services in different clouds.

For those who work only with AWS and consider it the leader (which it is), it may be a revelation that the range of services in Azure is larger (true story).

#aws
Python 3.8 is out
Good feature is importlib.metadata all the others are garbage. Positional-only arguments I consider a dangerous feature, I can't imagine ever use it. When the time comes and we will remove all useless crap from Python? Then there would be a great language.

For more check out the presentation or go to official docs.

#python
Modules and Packages: Live and Let Die! — David Beasley's insane three-hour presentation about the construction of modules, packages and import systems in Python. Everything is pretty comprehensive, from the very basics to the internals with examples.

Recommended👌

#python