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Why does csv.DictReader return an OrderedDict instead of a regular dictionary in Python versions before 3.7?

hard📝 Conceptual Q10 of 15
Python - Structured Data Files
Why does csv.DictReader return an OrderedDict instead of a regular dictionary in Python versions before 3.7?
ATo automatically convert values to correct types
BBecause regular dicts cannot store string keys
CTo improve performance when reading large files
DTo preserve the order of columns as in the CSV header
Step-by-Step Solution
Solution:
  1. Step 1: Recall dictionary behavior before Python 3.7

    Regular dicts did not preserve insertion order before Python 3.7.
  2. Step 2: Understand why order matters in CSV reading

    Preserving column order helps keep data consistent with CSV layout.
  3. Final Answer:

    To preserve the order of columns as in the CSV header -> Option D
  4. Quick Check:

    OrderedDict preserves CSV column order pre-Python 3.7 [OK]
Quick Trick: OrderedDict keeps CSV columns in original order before Python 3.7 [OK]
Common Mistakes:
  • Thinking regular dicts can't have string keys
  • Assuming OrderedDict improves speed
  • Believing DictReader converts data types automatically

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