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1: Welcome to Pandas
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2: Data Types
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3: Extracting Data
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4: Dates and Times
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5: Datetime Math
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6: Comparing Dates
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7: List Comprehensions
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8: Dictionary Comprehensions
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This lesson's interactive features are locked, please to keep using them
Pandas is Python's go-to library for working with tables of data, like spreadsheets, CSV files, and database results.
A Pandas Series represents one column, and the easiest way to make one is to simply convert from a Python list:
temperatures = [42.0, 69.69, 9000]
temperature_series = pd.Series(temperatures)
During this course, you'll work on SnackStack, a fictional platform for collecting data from smart kitchen devices. SnackStack collects temperature readings from smart ovens, but there's a typo in the code!
Fix the name of the pd.Series() call, then run and submit the code.