Data science is a field that combines statistical and computational techniques to extract insights and knowledge from data. It involves collecting, cleaning, analyzing, and interpreting large and complex data sets using tools such as machine learning, data mining, and visualization. The goal is to make data-driven decisions and predictions. Who said this?

Insect meal as renewable source of food for animal feeding: a review

Effects of black soldier fly (Hermetia illucens) larvae meal protein as a fishmeal replacement on the growth and immune index of yellow catfish (Pelteobagrus fulvidraco)

kivy A Cross-platform GUI for python; codes for newbies

manipulate json date with python

A kivy examples to build a bubble to pop out

An experiment of self-regeneration in synthetic cell which could sustain synthetic activities over a day by regenerating the important building blocks(protein components).

Python: getting location through IP address| 通过python 爬虫 获取IP地址和地理位置

Kivy examples: smooth line adding lines on kivy canvas

Python 爬虫 -- 新闻爬取

用biopython抽取特定長度的序列

用biopython抽取特定長度的序列

Analyzing DNA/Protein Band like ther result of Western blot with Opencv, Python

Notes of Kivy document; What can kivy actually do. A list of kivy widgets.

Generally, we can read abi file by Biopython and Plot result with matplotlib.