Predicting Meteor Showers Using Python and Visual Studio Code

Predicting Meteor Showers Using Python and Visual Studio Code

Microsoft Developer via YouTube Direct link

- Convert months from strings to ints

6 of 28

6 of 28

- Convert months from strings to ints

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Predicting Meteor Showers Using Python and Visual Studio Code

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  1. 1 - Introduction and agenda
  2. 2 - Local environment setup
  3. 3 - Import libraries and data
  4. 4 - Explore and understand data
  5. 5 - Define goal of the data exploration
  6. 6 - Convert months from strings to ints
  7. 7 - Convert month and day to datetime
  8. 8 - Question: Why might you manipulate one column at a time?
  9. 9 - Continue converting month and day to datetime
  10. 10 - Question: How does Pandas datetime conversion handle cyclical data?
  11. 11 - Convert hemisphere strings to ints
  12. 12 - Convert moon phase strings to decimals
  13. 13 - Cleanse data by dropping unneeded columns
  14. 14 - Fill NaN values in moon phase column
  15. 15 - Cleanse data by dropping unneeded columns
  16. 16 - Review cleansed data
  17. 17 - Begin creating the prediction function
  18. 18 - Check to see if city is in list
  19. 19 - Get the latitude of the city
  20. 20 - List of constellations that are viewable
  21. 21 - Return if no constellations are viewable
  22. 22 - Determine which meteor showers are viewable
  23. 23 - Gather moon phases for desired dates
  24. 24 - Question: Why use an "&" operator and not "|"
  25. 25 - Determine best date based on moon phases
  26. 26 - Test the new code
  27. 27 - Add in Chang'e's meteor shower data
  28. 28 - Recap

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