Python Pandas IMDb Movies Data: Exercises, Practice, Solution
[An editor is available at the bottom of the page to write and execute the scripts.]
Sample Table (based on IMDb - movies csv):
Download movies_metadata.csv table (50) records from here.
Pandas IMDb Movies Data Analysis [17 exercises with solution]
Python Code Editor:
More to Come !
Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.
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Python: Tips of the Day
Calling an external command from Python:
The subprocess module in the standard library:
import subprocess subprocess.run(["ls", "-l"])
The advantage of subprocess vs. system is that it is more flexible (you can get the stdout, stderr, the "real" status code, better error handling, etc...).
The official documentation recommends the subprocess module over the alternative os.system():
The subprocess module provides more powerful facilities for spawning new processes and retrieving their results; using that module is preferable to using this function [os.system()].
The Replacing Older Functions with the subprocess Module section in the subprocess documentation may have some helpful recipes.
For versions of Python before 3.5, use call:
import subprocess subprocess.call(["ls", "-l"])
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