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 ...

データ分析や業務自動化スクリプトにおいて、CSVファイル（Comma Separated Values）は最も一般的なデータ交換フォーマットです。 PythonでCSVを扱う際、大規模なデータセットであれば pandas ライブラリを使用するのが定石ですが、ちょっとした設定ファイルの ...

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 ...

-> automatically calculate the FINE to be paid for late return of book beyond the due date. -> errors such as lending a book which isn't available, trying to return a book which isn't borrowed by that ...

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 ...