Many people state that kivy is slow. While this may be true it is mostly due to that python is slow to run on android devices.Thus it is in the programmer's hands to properly optimize their code so as to create a performant application.

Most of the lag on android devices runing kivy apps arise due to widget creation. Widget creation remains the slowest step in a kivy app. Here are some of the methods that I follow to optimize my apps and ensure I can hit 60fps even on old devices

A zoomable heat map of stocks classified by sector. The size of the blocks is a function of the volume traded and the color shows the gains / loss.

Copyright © 2017-20, Sandhya Pillai - MIT License

TLDR: Use for...of instead of forEach() in asynchronous code.

For legacy browsers, use for...i or [].reduce()

To execute the promises in parallel, use Promise.all([].map(...))

UPDATED 9/2/2023 - here we are a few years later, adguuard has been stable as heck now i wanted to add IPv6 to this mix these were the steps

1. stop the stack
2. delete the 6 adguard config networks and the two deployed macvlans from within portainer
3. recreate using the instructions below adding the following for IPv6 (note the Ipv6 are the documented subnet examples - don't use them, use ones right for your network)

See bootableinstaller.com

If your Mac is out-of-order or you otherwise cannot download macOS from the App Store, you can still create a bootable OS X recovery USB, and you can use that to create an Installer USB.

The downloads used in this process are legal and freely avaliable - including disk images directly from Apple's IT support pages, and open source utilities for extracting and converting pkg, dmg, and HFS+.

Where does SwiftData store things on the Mac?

On iOS, this directory is in the app's own storage location (app_UUID/Library/Application Support) but, on the Mac, it's a shared location in the user's Library.

By default on the Mac, SwiftData stores its model in the /~/Library/Application Support directory as default.store. (It will also add two other files, default.store-shm and default.store-wal, as the model is stored as a SQLite database, and these are these additional files are part of how SQLite works.)

• Step 1 (ulimit): open the sysctl.conf and add this line fs.file-max = 65536

    vi /etc/sysctl.conf   
  

  add following at end of file in above file:

    fs.file-max = 65536
  

save and exit.

Currently in no particular order. Most of these are kind of ancient.

Where's all the modern documentation? So much of what I've turned up searching is other folks complaining about having few options beyond reading source code.

The OREILLY books, while dated, seem to be some of the best available. Note that these can be read with a 7-day trial. Do this! At least get through the introduction section and first chapter of each to see if it's what you're after.

https://www.netfilter.org/

MSSQL 2017 includes Microsoft Machine Learning Services, which allows for the execution of Python and R scripts within MSSQL via sp_execute_external_script. This is an expansion of the functionality available in MSSQL 2016, which allowed for the execution of R scripts with SQL Server R Services. Examples of how to abuse this functionality with R scripts are available elsewhere.

To execute Python code:

• Machine Learning Services (In-Database) and Python must have been selected during installation
• External scripts must be enabled
  • EXEC sp_configure 'external scripts enabled', 1
  • RECONFIGURE WITH OVERRIDE
  • Restart the database server
• The user must have EXECUTE ANY EXTERNAL SCRIPT