technicalc-core
data_engineering_on_gcp_book
technicalc-core | data_engineering_on_gcp_book | |
---|---|---|
5 | 12 | |
13 | 118 | |
- | - | |
7.2 | 2.6 | |
13 days ago | about 3 years ago | |
ReScript | ||
- | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
technicalc-core
-
TechniCalc Scientific Calculator Update
Advanced maths engine is actually open source! https://github.com/jacobp100/technicalc-core
-
Scientific Calculator Built with React Native
The UI aspect is closed source, but the computation engine, the editor, and part that gets MathJax working well in react native is open source at https://github.com/jacobp100/technicalc-core
- OCaml to JS
-
Show HN: Scientific Calculator for iOS
I've just released an update for the iOS version of my app, TechniCalc.
It's a scientific calculator aiming to provide a comprehensive math feature set while not compromising on the user interface. I found too many apps had a great story for one half of that, but fell short on the other.
The app itself is React Native. The calculation and editor logic are in ReScript, and this part is open source too! (if you're interested - https://github.com/jacobp100/technicalc-core)
I'd love to hear all your feedback!
-
What is your “I don't care if this succeeds” project?
I’m working on a scientific calculator app - TechniCalc
https://jacobdoescode.com/technicalc
It’s done in react native and a good amount of it is also open source.
https://github.com/jacobp100/technicalc-core
It at least covers App Store fees
data_engineering_on_gcp_book
-
How possible is it for a beginner to establish pipelines, data warehouse, and visualization solution as a team of 1?
This book will walk you through setting up a complete data engineering stack on GCP: https://github.com/Nunie123/data_engineering_on_gcp_book
-
Python & SQL knowledge needed for ETL?
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.
-
Learning Python and SQL: What should be my next step?
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
-
Github Repo with All Data tranformation,Cleaning,Validation
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
-
What is the low hanging fruit for a brand new GCP data engineer to learn?
Check out this book: https://github.com/Nunie123/data_engineering_on_gcp_book
-
Unsure about overall process of data engineering
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
-
[HELP] Airflow Reverse proxy + load balancer +docker
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
-
Transition from a Quality engineer to Data engineer
This book might be a good resource for you: https://github.com/Nunie123/data_engineering_on_gcp_book
-
Accepted a data engineer intern role at a Big N company - how do I learn as much as possible?
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.
-
What tools, software, programming languages, and etc. does a data engineer need to have in 2021
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
What are some alternatives?
mal - mal - Make a Lisp
shotcaller - A moddable RTS/MOBA game made with bracket-lib and minigene.
ppp_thing - A poorly written, minimum viable PPPoE client with session handoff between redundant FreeBSD routers
FactGraph - FactGraph monorepo (backend + frontend + landing page + blog)
fingine - A personal finance simulation engine in Rust.
beubo - Beubo is a free, simple, and minimal CMS with unlimited extensibility using plugins
VimMode.spoon - Adds vim keybindings to all OS X inputs
distribyted - Torrent client with HTTP, fuse, and WebDAV interfaces. Start exploring your torrent files right away, even zip, rar, or 7zip archive contents!
commutative-algebra - An introduction to the basic ideas of commutative algebra
go-plugin - Golang plugin system over RPC.
Elm - Compiler for Elm, a functional language for reliable webapps.
dali - Indie assembler/linker for Dalvik VM .dex & .apk files (Work In Progress)