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5 powerful pandas techniques every Python user should know

pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...
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What makes a Spotify hit? I tested over 30,000 songs in Python to find out

Whenever I'm at the computer, I seem to have Spotify going in the background. With data on Spotify songs available, I wanted to see if any traits the hit songs had in common. I used Spotify to see if ...
GitHub

GitHub - JianboXue2026/thesis-bioinformatics: Bioinformatics analysis code for my graduation thesis: Research on Susceptibility Genes for Severe Community Acquired Pneumonia in ...

The scripts and related files in this repository are associated with the data analysis part of my thesis project. They are intended to document the computational workflow, improve reproducibility, and ...
GitHub

Coffee Trading Trend Analysis

For this project, we analyzed historical data on the global coffee trade from the International Coffee Organization (ICO) and the Food and Agriculture Organization (FAO) of the United Nations. We made ...
Frontiers

Unraveling the spatiotemporal dynamics and drivers of drought in Xinjiang: a prefecture-scale analysis using CHIRPS and SPEI

The procedure leveraged the Python scientific computing stack (NumPy, Pandas, Xarray) and GIS platforms (QGIS/ArcGIS), and consisted of four principal steps. Data acquisition and spatial subset ...