Table Editor in Python with pandastable 

try loading the text files lines as a dictionary. it should increase the speed of search querys.

@@evanpendergraft wdym? what is the key and what is the value?

Either use mmap (this example shows line by line but you could just perform a re search over the full content if reading the big file into memory isn't a concern): import mmap with open("FILE", "r+b") as f: mm = mmap.mmap(f.fileno(), 0) for line in iter(mm.readline, b""): print(line) Or if multirow operations aren't as big of an issue/don't need special code to perform on & you need to perform a ton of queries, you can just dump the contents (make a table, column_name = filename, new line in file = new row in column) into some sqlite/duckdb database & perform SQL queries over the top of them. If you REALLY need to go further you could theoretically do multiprocessing & with os.fork() + mmap start applying operations as the file is being read given the current location of the pointer, but if you're dealing with parent/child processes you might want to take this as an opportunity to just learn a lower level language for both your own benefit & understanding + better control

Use the operating system directly. For huge amounts of data scraping, all languages but C are deficient. grep would be your friend.

Using AI to learn isn't bad; searching for how to use a function you forgot or help with some tasks is okay, and everyone does it. But if you can only code with it, it's a problem. Try to code a project without AI, as long as it takes, searching on your own. If you struggle too much it shows you must learn other things before or pratice what you already know. I think.

@@NikolazLopes thanks bro I'll try your approach