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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_col_info(table_name, col_name, meta_file):
 """Return the content and metadata of a fiven column. Args: table_name(str):
 Name of the table. col_name(str):
 Name of the column. meta_file(str):
 Path to the meta.json file. Returns: tuple(pandas.Series, dict) """


    with open(meta_file, 'r') as f:
        meta = json.load(f)

    data_table, table = load_data_table(table_name, meta_file, meta)

    for field in table['fields']:
        if field['name'] == col_name:
            col_meta = field

    col = data_table[col_name]

    return (col, col_meta)