Below is an example of how to do it with Python and library Pandas
Several things may have to be tuned up, to match the needs, but the basic idea is there
# Script to concatenate a bunch of Excel files with
# Python and Pandas
#
# Remember that indexing starts with 0 in Python,
# whereas indexing starts with 1 in Excel
import pandas as pd
# Number of files to process
n = 10
# Excel sheetname
sheetname = 'sheet1'
# Number of row to skip in each file
skiprows=3
# Header line that will be kept for column name (index 5 in Excel)
header=4
# Column containing the index for each row. Leave it to None if no index
index_col=0
# First file to process
f = 'SWEdtd01MAY14NUM1.xls'
DF = pd.read_excel(f, sheetname, skiprows = skiprows,header = header, index_col = index_col)
# Concatenate the content of other file to this dataframe
for i in range(2,n+1)
f = 'SWEdtd01MAY14NUM'+str(i)+'.xls'
df = pd.read_excel(f, sheetname, skiprows = skiprows, header = header, index_col = index_col)
DF.append(df, ignore_index=True)
# Write the concatenated content to excel
DF.to_excel('SWEdtd01MAY14NUM.xls',sheet_name = sheetname)