Today, I needed to deploy an RStudio server for someone else. Here are the steps and key points of the deployment.

Recently, out of… well, let’s say a bit of dissatisfaction, I sold my previously purchased Lenovo Chrome Duet2, but then I bought a Pixelbook 2017… Now that I have this device, I still want to tinker with it for a while, trying to find a way to use this Pixelbook 2017 as a replacement for my work computer for general office tasks. In the process of practising, the main issue wasn’t resolved, but I did come up with a few practical by-products… writing Hexo blogs using Codespace is one of them.

This title is a bit too nested… but the fact is, I suddenly felt capable! I finally have a chance to become a full-stack developer! To showcase my capabilities enhanced by chatGPT, I decided to develop a tool that uses chatGPT to read papers (I’ve also considered using it for meta-analysis).

I currently rarely use R for data processing or cleaning because my daily work involves a lot of string extraction/processing, which is difficult to do in R. Additionally, the error tracking in R is very demanding on code proficiency and experience, making it almost unbearable for me to write and maintain R code (I tried at a previous company…). However, recently one of my colleagues asked me to use R to complete such tasks because he only knows R. In the process of copying code, I discovered another reason why I don’t need to use R for this type of work…

A long time ago, I was interested in a special operating system made in China called FydeOS. It is based on ChromiumOS and is a Chinese version of ChromeOS. The main idea behind this operating system is that many people do not need high-performance terminal computers for work; they just need an entry-level device that can access essential work services through a browser.

Recently, while helping a colleague create plots, I uncovered some new issues and solutions related to ggpubr and survival analysis packages. Here are the records.

A while ago, I implemented an interesting interactive data processing case using Dash. Here, I’ll record it.

I’ve been extremely busy lately, with too much work to finish… so I haven’t had much motivation to write. However, this time I’ve applied what I’ve learned in the past six months to build my first web app with database operations, which is worth commemorating. Although I’m short on time, I’ll start with the text and add images later.

Due to project requirements, I finally took the time to actually look into how to use Flask. Here’s a record of what I learned.