Obsidian Sync - Obsidian Help

No Clocks
Santi Younger
Santi Younger' Official Website
Designing a Personal Knowledgebase – A Curious Mix
The Sad State of Personal Knowledgebases – Marcus Vorwaller
Building an open source personal knowledge base | Hacker Noon
The Weekly Review: A Productivity Ritual to Get More Done
A weekly review is an opportunity to direct your life with intention – reflect on the past week, plan for the week ahead, and ensure your to-do list is aligned with your bigger goals.
Workflow syntax for GitHub Actions - GitHub Docs
How to Set Up GTD® in Notion | Sam Thomas Davies
Want to learn how to implement GTD® in Notion? Read this article to learn how I’m using Notion to get more done in less time.
Big data and the role of the actuary
How to Choose the right career path in Software Development? | InvoZone
John Blischak's blog: R programming in the Windows Subsystem for Linux
A comprehensive guide to setup an R development environment for Ubuntu running
in the Windows Subsystem for Linux (WSL)
sol-eng/db-dashboard
Best Practices for Organizing Data on Your Computer | Alexander's Blog
One of the most common challenges that computer users often face is data organization. I see users with cluttered desktops full of individual files, folders that are duplicated (desktop and default home directory), and users struggling to find their own data which makes content management very difficult. In this article, I will share some guidelines […]
Serverless R functions with Cloud Run
Using serverless containers to deploy scalable R functions.
Effectively Deploying and Scaling Shiny Apps with ShinyProxy, Traefik and Docker Swarm | databentobox
This post provides a guide to effectively and securely scale your ShinyProxy deployment of shiny apps in production with Docker Swarm and Traefik
Breakdown a Monolithic Application to a Suite of Services • Use Microservices in R
Microservice architectural style is an approach to developing a
single application as a suite of small services, each running in its own
process and communicating with lightweight mechanisms, often an HTTP
resource API. These services are built around business capabilities and
independently deployable by fully automated deployment machinery. There
is a bare minimum of centralized management of these services, which may
be written in different programming languages and use different data storage
technologies.
R in Prod: rip, a command line R package installer | sellorm
Supplement to Shiny in Production
This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019.
Field Guide to the R Ecosystem
This guide aims to introduce the reader to the main elements of the R ecosystem.
Executing asynchronous tasks | Cloud Run Documentation | Google Cloud
Authenticating service-to-service | Cloud Run Documentation
dreamRs/shinypop: Collection of notifications, confirm dialogs and alerts for 'Shiny' applications
Collection of notifications, confirm dialogs and alerts for 'Shiny' applications - dreamRs/shinypop
Google API Design Guide
Collections of resources for API Designers
API design guidance - Best practices for cloud applications | Microsoft Docs
Web applications can expose APIs so clients to interact with the application. Well-designed web APIs should support platform independence and service evolution.
Using Cookie Based Authentication with Shiny · calligross.de
dotenv - npm
about_Environment_Variables - PowerShell | Microsoft Docs
PowerShell and Environment Variables: A Deep Dive
Microservices Guide
Test Plan for Software: What, Why and How to Write It? - Bit Blog