Recalling 2022, it was basically full of bad things. Work was even more tiring, achievements were fewer, health was worse, spirits were more depressed, free time would be less soon, and even finding a barbecue place several times became difficult… Can’t it get better… I hope the new year won’t be even worse…

I have always been interested in the status of domestic Linux systems (although I haven’t used any long-term except for an ancient version of Linux Deepin), so when Flint OS was still called FydeOS, I paid attention to this Chromium OS-based special edition. This also led me to understand why Chrome OS, which has a mysterious high share overseas in the past, is popular.

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 organizing our materials for using graph databases, I thought of a problem. Actually, from a performance perspective, graph databases may not necessarily achieve better performance. For us, the significance lies in simplifying the requirements for database design.

In daily work, there are always times when you need to create a presentation document to show project progress or results. However, creating a PPT is quite time-consuming (my obsessive-compulsive disorder always makes me adjust the font and position). I’ve never used any of the fancy elements and features of PPTs, so I found Marp to save some effort.

It was a night when I felt overwhelmed by reading papers (March 29, 2022). As I browsed through the messy directory tree in Zotero… it suddenly occurred to me how many papers I had read over the past few years? Exporting from emails… I was shocked… 561 entries, 419 PDFs downloaded… really… If I had gone straight for a PhD, I probably wouldn’t have read so many papers.

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 previously tried to use Scrapy to crawl information from a drug website, but I didn’t make any records at the time. This time, I helped a classmate crawl some data, so I decided to record it this time.

Although DingTalk is somewhat of a tool that exploits people, it’s still necessary for work. It’s already better to have one less annoyance choice (speaking of which, Tencent). After all, being exploited is bad enough, but being both exploited and annoyed… being able to eliminate one annoyance is already an improvement.