Pandas Library

  1. Working with Time Series Data
    1. Time Series Data Structures
      1. Timestamps and Periods
        1. DatetimeIndex
          1. Timedelta and TimedeltaIndex
          2. Creating Date Ranges
            1. date_range() Function
              1. Frequency Options
                1. Custom Start and End Dates
                2. Converting to Datetime
                  1. to_datetime() Function
                    1. Parsing Date Strings
                      1. Handling Different Date Formats
                      2. Time Zone Handling
                        1. Localizing Time Zones
                          1. Converting Between Time Zones
                          2. Shifting and Lagging Data
                            1. shift() Method
                              1. Shifting Data Forward and Backward
                                1. Calculating Differences
                                  1. diff() Method
                                2. Resampling
                                  1. Downsampling
                                    1. Upsampling
                                      1. Aggregation During Resampling
                                        1. Custom Resampling Rules
                                        2. Rolling Windows
                                          1. rolling() Method
                                            1. Rolling Mean
                                              1. Rolling Sum
                                                1. Custom Rolling Functions
                                                2. Expanding Windows
                                                  1. expanding() Method
                                                    1. Expanding Mean
                                                      1. Expanding Sum

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                                                    8. Working with Text Data

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                                                    10. Multi-level Indexing