Reading CSV

Use csv.reader and csv.DictReader to read CSV files

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Reading with csv.reader

csv.reader reads each row as a list of strings — including the header row.

import csv

with open("data.csv", "r") as file:
    reader = csv.reader(file)
    for row in reader:
        print(row)

Reading with csv.DictReader

csv.DictReader reads each row as a dictionary. The keys come from the header row automatically. This makes accessing specific columns clear and readable.

with open("data.csv", "r") as file:
    reader = csv.DictReader(file)
    for row in reader:
        print(row["name"], row["score"])

DictReader skips the header row — you get only the data rows.

Instructions

Read a student CSV file using both csv.reader and csv.DictReader.

Import csv.
Open students.csv in read mode. Create a csv.reader named reader. Write a for loop over reader and call print(row) inside.
Open students.csv again. Create a csv.DictReader named reader. Write a for loop over reader and call print(row["name"], row["score"]) inside.

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# students.csv contains:
# name,grade,score
# Alice,A,95
# Bob,B,82
# Charlie,A,91

# Step 1: Import csv

# Step 2: Read students.csv with csv.reader and print each row

# Step 3: Read students.csv with csv.DictReader and print name and score

Reading CSV

Reading with csv.reader

Reading with csv.DictReader

Instructions

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