π 2025-03-07 β Session: File and Data Recovery Techniques
π 00:00β01:45
π·οΈ Labels: File Recovery, Libreoffice, Pandas, Encoding, Data Corruption
π Project: Dev
β Priority: MEDIUM
Session Goal
The objective of this session was to explore and document various techniques for recovering corrupted files, specifically focusing on LibreOffice and CSV files, as well as addressing data assignment issues in Pandas DataFrames.
Key Activities
- File Encoding Recovery: Utilized Python and the
iconv
command-line tool to address mixed encoding issues in files. - LibreOffice File Recovery: Explored methods to recover corrupted LibreOffice files using previous versions, text-based backups, and hex editors.
- CSV File Recovery: Provided a detailed guide on recovering corrupted CSV files using LibreOfficeβs recovery features and alternative programs.
- Pandas DataFrame Issues: Addressed assignment issues in Pandas DataFrames, providing solutions using
assign()
andupdate()
methods.
Achievements
- Documented comprehensive recovery techniques for both LibreOffice and CSV files.
- Provided solutions to common Pandas DataFrame assignment issues.
Pending Tasks
- Further testing of recovery techniques on different file types and scenarios.
- Exploration of additional tools for file recovery beyond LibreOffice.
Tags
file recovery, LibreOffice, Pandas, encoding, data corruption