Sorry, your browser cannot access this site
This page requires browser support (enable) JavaScript
Learn more >

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…

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.

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.

I have not systematically studied web scraping before, so I am making notes while watching this video.

I previously used __enter__ and __exit__, which I had heard of before. This time, my program development is mainly object-oriented, so I needed to use more methods to achieve some useful features i...

Damn, I finally successfully used this feature… I’m really stupid…

The with open statement is a particularly convenient feature in Python, allowing for automatic closure of objects when operations are completed. For custom objects, it’s also possible to support the with syntax.

A long time ago, a Python expert from my previous company taught us about decorators. However, due to my愚钝ness, I never fully understood this concept and didn’t use it in actual coding. Therefore, ...

After using snakemake for some time, I found that it has many practical features to facilitate daily analysis. Here is a record and整理.