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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_daily_10yr_treasury_data():
 """Download daily 10 year treasury rates from the Federal Reserve and return a pandas.Series."""

    url = "https://www.federalreserve.gov/datadownload/Output.aspx?rel=H15" \
          "&series=bcb44e57fb57efbe90002369321bfb3f&lastObs=&from=&to=" \
          "&filetype=csv&label=include&layout=seriescolumn"
    return pd.read_csv(url, header=5, index_col=0, names=['DATE', 'BC_10YEAR'],
                       parse_dates=True, converters={1: dataconverter},
                       squeeze=True)