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Python · Theory

Read CSV File in Python

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Theory

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Read CSV File in Python

Read CSV File is about tabular files. csv is in the stdlib. Excel usually needs openpyxl or pandas. Always with open(...) so the file closes.

For Read CSV File read: csv.reader or DictReader (column names). Write: writer / DictWriter. Don’t load a 2 GB file into memory if you can stream rows.

Read CSV File on the board — one row name,marks → Asha,90. Print it back. Same idea for Excel cells.

Read CSV File in Python — output — Asha 90 then Ravi 85. DictReader uses column names — same as a real .csv file.

Diagram
with open(...) as f
         │ read / write
         ▼
      auto close
Exam tip

stdlib csv vs Excel library. One sentence + tiny row example.

Example

# Read CSV File in Python
import csv
from io import StringIO
text = "name,marks\nAsha,90\nRavi,85"
for row in csv.DictReader(StringIO(text)):
    print(row["name"], row["marks"])

Read CSV File in Python — output: Asha 90 then Ravi 85. DictReader uses column names — same as a real .csv file.

Short notes

  • DefRead CSV File reads or writes table files.
  • RuleRead CSV File — with open + csv/openpyxl.
  • RememberRead CSV File — DictReader uses column names.
  • TrapRead CSV File — file left open; wrong encoding.

Questions

1

Explain Read CSV File as if you are teaching a junior — definition, then one tiny script.

2

What does the example print, and why?

3

What mistake do freshers make with Read CSV File?

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