In data analysis and automation scripts, CSV (Comma Separated Values) files are the most common data exchange format. When handling CSVs in Python, using the pandas library is the standard approach ...

write the following: "fastq folder,fastq name,library type". lib_csv['ATAC'] = f'{abs_path}/data/clean,{sample}_ATAC,Chromatin Accessibility' lib_csv['GEX'] = f'{abs ...

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...