# Match transactions matched_transactions = pd.merge(bank_statement, tally_data, on='transaction_id') Japanese Mom Son Incest Movie With English Subtitle Exclusive | Ice
# Identify discrepancies discrepancies = bank_statement[~bank_statement['transaction_id'].isin(matched_transactions['transaction_id'])] Reagan Foxx Sharing My Son In Law Work
# Save report to file reconciliation_report.to_csv('reconciliation_report.csv', index=False) This code snippet demonstrates how to match transactions between the bank statement and Tally ERP 9 data, identify discrepancies, and generate a reconciliation report.
# Load bank statement and Tally ERP 9 data bank_statement = pd.read_csv('bank_statement.csv') tally_data = pd.read_csv('tally_data.csv')
import pandas as pd
# Generate reconciliation report reconciliation_report = pd.concat([matched_transactions, discrepancies])
The automated bank reconciliation statement feature would enable users to easily reconcile their bank statements with Tally ERP 9. This feature would save time and reduce errors in the reconciliation process.