Pandas astype() method is the easiest way to convert object to float. to_numeric() function can convert strings to floats with error handling. DataFrame can be converted using astype() for entire column or column
ParserError occurs when Python parses CSV data with invalid or missing values. Error indicates specific points in the data with detailed reasons. Data cleaning is essential before analysis to avoid program failures
Low-level formatting erases all data from a hard drive. Creates new sectors and tracks while writing zeros to disk locations. Used to remove malware and viruses that cannot be removed normally
Deleting rows by selecting blank cells can delete important data rows. This method works only for small tables with few dozen rows. In large tables, it can unintentionally delete dozens of good rows
VACUUM reclaims storage occupied by dead tuples in PostgreSQL tables. Without table_and_columns list, processes all tables in current database. With list, processes only selected tables. VACUUM ANALYZE combines VACUUM with ANALYZE for routine maintenance
USB drives can be cleaned for sensitive information deletion. Cleaning helps remove viruses and free up storage space. Data can be permanently deleted before selling or disposal