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                                            Mario Pinto

Update to Ch 5: Incorrect year for January fixed at source

In ch.5, for the `download_weather_month` function, the source url now provides the correct data even when you look for data for the month of January. So one no longer needs...

Update to Ch 5: read_csv

In the latest version (.18) of pandas, this statement from ch.5 doesn't seem to work: `weather_mar2012 = pd.read_csv(url, skiprows=15, index_col='Date/Time', parse_dates=True, encoding='latin1', header=True)` The following worked for me: `weather_mar2012 =...