import csv

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

Alice 25
Bob 30

import csv

with open("users.csv", "a", newline="") as file:
    writer = csv.writer(file)
    writer.writerow(["Charlie", 40, "USA"])

import csv

with open("users.csv", "a", newline="") as file:
    writer = csv.writer(file)
    writer.writerow(["Charlie", 40, "Canada"])

import csv

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

import csv

with open("output.csv", "w", newline="") as file:
    writer = csv.writer(file)
    writer.writerow(["name", "age", "city"])
    writer.writerow(["Alice", 25, "New York"])

import csv

with open("data.csv", "r") as file:
    reader = csv.DictReader(file)
    for row in reader:
        age = int(row["age"])
        salary = float(row["salary"])
        print(age, salary)

---------------------------------------------------------------------------

KeyError                                  Traceback (most recent call last)

Cell In[1], line 7
      5 for row in reader:
      6     age = int(row["age"])
----> 7 …

import csv

with open("custom.csv", "w", newline="") as file:
    writer = csv.writer(file, delimiter="|")
    writer.writerow(["Name", "Age", "Country"])
    writer.writerow(["Alice", 25, "India"])

raw = ["  apple ", " Banana", "cherry "]
cleaned = [item.strip().lower() for item in raw]

import csv

records = [
    {"name": "Alice", "age": 25, "city": "Rome"},
    {"name": "Bob", "age": 30, "city": "Madrid"}
]

with open("records.csv", "w", newline="") as file:
    writer = csv.DictWriter(file, fieldnames=records[0].keys())
    writer.writeheader()
    writer.writerows(records)

import csv

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

['name', 'age', 'city']
['Alice', '25', 'Paris']
['Bob', '30', 'London']