Understanding CSVs and Python's CSV Module

What does CSV stand for?

• Code Separated Values

• Column Separated Values

• Character Separated Values

• Comma Separated Values

What is often found in the first row of a CSV file?

• Header information

• Data values

• Summary statistics

• File metadata

What is a common issue when reading CSVs without a module?

• Missing headers

• Inconsistent data types

• Commas in data fields

• Handling large files

Why is it beneficial to use Python's CSV module?

• It automatically converts data types

• It handles exceptions and platform differences

• It provides a graphical interface

• It compresses CSV files

What is the purpose of the 'STRPTime' method in Python?

• To convert strings to integers

• To parse strings into time objects

• To format strings for printing

• To split strings into parts

Why is it important to convert data types when reading CSVs?

• To improve reading speed

• To enable data encryption

• To ensure data is interpreted correctly

• To reduce file size

What is the 'next' function used for when reading CSVs?

• To move to the next file

• To skip the first row

• To repeat the current row

• To read the last row

What is a daily stock return?

• The highest stock price during the day

• The total stock value at the end of the day

• The percent change in stock price from one day to the next

• The average stock price over a week

What is the 'writerow' method used for in Python's CSV module?

• To write a row to a CSV file

• To read a row from a CSV file

• To update a row in a CSV file

• To delete a row from a CSV file

What does the 'STRFTime' method do?

• Formats time objects into strings

• Parses strings into time objects

• Splits strings into time components

• Converts time objects to integers