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Geek Food: The 🇺🇸 DoJ has issued "Legal Considerations when Gathering Online Cyber Threat Intelligence and Purchasing Data from Illicit Sources" that y'all will definitely want to study if you do any #RedTeam or other InfoSec research work. #ethicalhacking https://www.justice.gov/criminal-ccips/page/file/1252341/download

Geek Food: Tutorials are meant to teach you concepts, not best practices (especially security!) and you should learn from code examples - not just cut/paste them. So, where to find examples of working production (open source) code?🤔 Check this site out: https://hotexamples.com/

Geek Food: Chrome v80 will start blocking mixed content (HTTPS mixed with HTTP requests). That may cause some problems if you don't update your websites or until 3rd parties update theirs. You should be forcing HTTPS on everything already, but here's link: https://developers.google.com/web/fundamentals/security/prevent-mixed-content/fixing-mixed-content

Python: Equality vs Identity - The == operator compares the value or equality of two objects. The "is" operator checks whether two variables point to the same object in memory. Do know when to use which one? https://realpython.com/python-is-identity-vs-equality/

Geek Food - An easter egg: at a 🐍Python prompt type this: >>> import this and it will display The Zen of Python by Tim Peters. Got any other cool easter eggs or geek tips??? Send them to Gary @ Gary-Wright.com

Geek Food: I use silly memory aids. Example: Python data types - brackets vs. parenthesis L as in List is half a square, and [ is half a square, so a List uses brackets: my_list = [1,2,3] If I said "Yer' Tuple is showing!" you'd guess Tuples were round, so use parenthesis: my_tuple = (0,0)

Geek Food: In recent years we've gotten distribution package managers to resolve tedious conflicts like "sudo apt upgrade" and even self-updating distros like "conda update conda" - so what's the next step for geeky civilization???🤔 > computer upgrade computer and then eventually: > universe update universe

Geeks: My brain🧠 experiences a stack overflow from time to time, so I'm always grateful to find good programming cheat sheets. Here are some helpful ones for Python, Numpy, Pandas, and R programming🤓: http://www.datasciencefree.com/cheatsheets.html