Working with Transaction Data
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When working with transaction data for compliance purposes, you need to organize and manipulate information efficiently. In Python, the most useful data structures for this are lists and dictionaries. A list allows you to store a collection of items in order, while a dictionary lets you store data as key-value pairs. For transaction data, you often use a list where each item is a dictionary representing a single transaction. Each dictionary can store details such as the transaction's id, amount, type, and status, making it easy to access and update specific pieces of information as needed for compliance checks.
12345678910# Create a list of dictionaries, each representing a transaction transactions = [ {"id": "TX1001", "amount": 2500.0, "type": "deposit", "status": "pending"}, {"id": "TX1002", "amount": 500.0, "type": "withdrawal", "status": "approved"}, {"id": "TX1003", "amount": 12000.0, "type": "deposit", "status": "pending"} ] # Print the transactions list for transaction in transactions: print(transaction)
To work with transaction data, you often need to access or update specific information. You can do this by referencing the dictionary keys. For example, to get the amount of the first transaction, use transactions[0]["amount"]. To update the status of a transaction after a compliance check, assign a new value to the "status" key. This approach allows you to efficiently process and modify transaction records as part of your compliance workflow.
12345678# Update the status of a transaction after a compliance check for transaction in transactions: if transaction["id"] == "TX1001": transaction["status"] = "approved" # Print updated transactions for transaction in transactions: print(transaction)
1. What Python data structure allows you to store key-value pairs for each transaction?
2. How can you update the status of a transaction in a list of dictionaries?
3. Why is it useful to use dictionaries for transaction data?
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