VimMode.spoon VS data_engineering_on_gcp_book

- https://github.com/dbalatero/VimMode.spoon - Vim mode everywhere

VimMode.spoon (open source, free)

I have a Hammerspoon plugin that does a fairly decent job: https://github.com/dbalatero/VimMode.spoon

A friend of mine I met through my own similar (free) library is developing this like a madman: https://kindavim.app

It costs $3/month (coffee) but for a Vim person like me I gladly pay. Making this work across macOS is a total mess and a full-time job, and it's not trivial work.

If you want a free version, I have https://github.com/dbalatero/VimMode.spoon as a Hammerspoon plugin that works pretty OK, but I'm not actively developing it and prefer the kindaVim app at this point.

there's some free solutions out there like Karabiner-Elements(https://karabiner-elements.pqrs.org) (but doesn't manipulate/calculate text, just key mapping) and VimMode.spoon (https://github.com/dbalatero/VimMode.spoon). if you don't wanna bother with setting those up there's also one-time payment stuff, that are basically wrappers around Karabiner Elements.

I wrote this to handle a 2 letter key sequence being pressed (to support jk entering vim mode): https://github.com/dbalatero/VimMode.spoon/blob/master/lib/key_sequence.lua

Love to see this windows project! If anyone wants some MacOS Vim functionality everywhere, I have a small library I maintain for that: https://github.com/dbalatero/VimMode.spoon

Better solution: https://github.com/cknadler/vim-anywhere, for neovim users (and probably vim users) you can utilize some apple script as well: https://blog.schembri.me/post/neovim-everywhere-on-macos/. For those of you who want to try org-mode and evil, https://github.com/tecosaur/emacs-everywhere is awesome. And if you don't want to use an editor, a similar project (using Hammerspoon) is available here: https://github.com/dbalatero/VimMode.spoon

and also let's not forget the awesome VimMode.spoon from dbalatero: https://github.com/dbalatero/VimMode.spoon

This book will walk you through setting up a complete data engineering stack on GCP: https://github.com/Nunie123/data_engineering_on_gcp_book

As for resources, this book goes over a lot of these: https://github.com/Nunie123/data_engineering_on_gcp_book. However, this goes over the 'how', not the 'why'. The only method I know for understanding the 'why' is experience. Whether at work or personal projects.

Here's a good book to follow along to introduce you to common tooling and design patterns: https://github.com/Nunie123/data_engineering_on_gcp_book

I'm not sure if this is exactly what you're looking for, but here's a book on GitHub that talks about the tools and steps for building data pipelines into a data warehouse: https://github.com/Nunie123/data_engineering_on_gcp_book

Check out this book: https://github.com/Nunie123/data_engineering_on_gcp_book

If you're interested in example of how to build a complete data engineering infrastructure, you should check out this book: https://github.com/Nunie123/data_engineering_on_gcp_book

If you want to try Airflow without the setup headache, you can try Composer on GCP, which is a hosted version of Airflow. I wrote some info on how to do that here: https://github.com/Nunie123/data_engineering_on_gcp_book/blob/master/ch_2_orchestration.md

This book might be a good resource for you: https://github.com/Nunie123/data_engineering_on_gcp_book

If you want a place to start on personal projects you can check out this book, https://github.com/Nunie123/data_engineering_on_gcp_book, which will walk you through the basics of setting up a full data engineering stack.

If you are interested in tooling, here's a free book on setting up a basic data engineering tech stack on GCP: https://github.com/Nunie123/data_engineering_on_gcp_book