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Python Challenge Anyone?

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Manage episode 389035431 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/python-challenge-anyone.
Explore a Python exercise that addresses missing data gaps in the JustJoin.it job market dataset fetched using AWS Lambda.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #python-programming, #python-exercises, #python-tutorials, #python-coding-challenges, #python-practice-questions, #learn-python-programming, #programming-challenges, #python-developers, and more.
This story was written by: @jszafran. Learn more about this writer by checking @jszafran's about page, and for more stories, please visit hackernoon.com.
The Python exercise focuses on identifying missing dates in the JustJoin.it job market dataset fetched via AWS Lambda. The solution utilizes sets, date manipulation, and file traversal to pinpoint the gaps, ensuring a comprehensive and reliable dataset.

  continue reading

126 episodes

Artwork
iconShare
 
Manage episode 389035431 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/python-challenge-anyone.
Explore a Python exercise that addresses missing data gaps in the JustJoin.it job market dataset fetched using AWS Lambda.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #python-programming, #python-exercises, #python-tutorials, #python-coding-challenges, #python-practice-questions, #learn-python-programming, #programming-challenges, #python-developers, and more.
This story was written by: @jszafran. Learn more about this writer by checking @jszafran's about page, and for more stories, please visit hackernoon.com.
The Python exercise focuses on identifying missing dates in the JustJoin.it job market dataset fetched via AWS Lambda. The solution utilizes sets, date manipulation, and file traversal to pinpoint the gaps, ensuring a comprehensive and reliable dataset.

  continue reading

126 episodes

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