L̶u̵m̶i̵n̷o̴u̶s̶m̶e̵n̵B̶l̵o̵g̵
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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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If you think there's a lot of good things in a particular field, you're an amateur in this field. If you're growing up, don't be surprised that everything around you will seem dull over time.
What is the definition of a good software engineer? This question's aim is to be personal, it focuses on the thoughts of the people you're asking it. I will show you my thoughts in this post.

https://luminousmen.com/post/what-is-the-definition-of-good-engineer
Found this little diamond on wiki - you can quote it like:
ninety percent of everything is crap
or
everybody is wrong on the internet

https://en.m.wikipedia.org/wiki/Sturgeon%27s_law

#stuff
​​Check out background removal from videos. At the end you're getting gifs and it's really quick

http://unscreen.com

#usefullinks
Congrats to the Apache Spark community and all the contributors! The Apache Spark 3.0 is here. Try it out!

https://spark.apache.org/releases/spark-release-3-0-0.html

#spark
Wow! Here comes Nextgen - Unreal Engine 5 with high quality textures. It creates as much geometric detail as the eye can see, and dynamic lighting that responds to changes in the scene and lighting with tools and libraries. That means that it can be done without much effort for artists, and we will see it soon enough in many games.

https://youtu.be/qC5KtatMcUw

#stuff
SpaceX use Chromium and JavaScript for the Dragon 2 flight interface. Now I can officially say that frontend nowadays is a rocket science.

Check out the exact replica of the interface by the link below

https://iss-sim.spacex.com/

#stuff
I think it's clear now who's the winner
With that said it can be obvious that standard data scientist tech stack will change in the nearest future. As an example pandas can be somewhat easily replaced by koalas. By the way, new koalas is here and it covers 80% of pandas api - https://github.com/databricks/koalas/releases/tag/v1.0.0

#spark #big_data
Technological degradation

Technology degrades from generation to generation, because no project starts with nothing, you always choose tools, libraries, etc. to solve a problem. Of course you can do everything from scratch using the assembler, but nobody will do it because it doesn't make sense. And when you take the X library which depends on the Y and Z libraries, it doesn't mean that you know what Y and Z do, you just know what X does and how to use it. And so while any problem in IT can be solved by adding an abstraction level, this abstraction stack is extremely hard to know for one person, and without proper communication between old developers and new developers, those connections are lost. And each generation grows at its abstraction level without understanding what's going on below.

https://youtu.be/pW-SOdj4Kkk.

#dev