: For a file this size (likely several MBs), use high-performance editors like VS Code or Sublime Text that handle large buffers better than standard Notepad.
: Use pd.read_csv() if it's delimited (tabs or commas) or open().readlines() to process it line-by-line if it's just raw text. 700k_idk.txt
: Use head -n 20 700k_idk.txt to quickly peek at the first few lines and determine the format. : For a file this size (likely several
The name suggests it might be a custom or local file, possibly containing: of unstructured text or tabular data. 700k_idk.txt
, as "idk" (I don't know) is often used in informal filenames for unsorted or miscellaneous collected data.
or raw outputs from a script where the volume (700k) is the defining characteristic.