Python fundamentals
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Chapter 1. 📖 LibrariesIntroduction to Python libraries. Do they really contain books?
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Chapter 2. 📖 DataFramesUh, using a dataframe as tabular metadata? Then why not use Excel?
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Chapter 3. ✏️ Hands on - Libraries & DataFramesIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 4. 🪄 Solution - Libraries & DataFramesDid you successfully complete the code?
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Chapter 5. 📖 DataFrames columnsWhat columns are in a DataFrame, aka the metadata? Let's learn how to view them, print them, and create a list containing their names
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Chapter 6. ✏️ Hands on - DataFrames columnsIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 7. 🪄 Solution - DataFrames columnsDid you successfully complete the code?
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Chapter 8. 📖 DataFrames columns extractionCan we focus on a single column within an entire dataframe? If so, can we easily and quickly obtain the values that a single column contains?
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Chapter 9. ✏️ Hands on - DataFrames columns extractionIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 10. 🪄 Solution - DataFrames columns extractionDid you successfully complete the code?
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Chapter 11. 📖 DataFrames columns presentHow do we manage columns that are always there? And how do we check if the dataframe value matches the one in the paper?
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Chapter 12. ✏️ Hands on - DataFrames columns presentIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 13. 🪄 Solution - DataFrames columns presentDid you successfully complete the code?
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Chapter 14. 📖 DataFrames columns missingHow to check if a column is present in the dataframe? Using a for loop and an if statement.
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Chapter 15. ✏️ Hands on - DataFrames columns missingIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 16. 🪄 Solution - DataFrames columns missingDid you successfully complete the code?
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Chapter 17. ✏️ Hands on - DataFrames columns missing difficultIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 18. 🪄 Solution - DataFrames columns missing difficultDid you successfully complete the code?
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Chapter 19. 📖 DataFrames columns missing 2How to check if a column is present in the dataframe? And how do we check if the dataframe value matches the one in the paper?
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Chapter 20. ✏️ Hands on - DataFrames columns missing 2It's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 21. 🪄 Solution - DataFrames columns missing 2Did you successfully complete the code?
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Chapter 22. 📖 Saving DataFrameWhen I'm done curating the metadata, how do I save them?
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Chapter 23. ✏️ Hands on - Saving DataFrameIt's time to put everything you've learned into practice. Try to correctly complete this code!
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Chapter 24. 🪄 Solution - Saving DataFrameDid you successfully complete the code?