import csv

def validate_row(row):
    return all(row)

data = [
    ["John", 28, "Toronto"],
    ["", 35, "Berlin"]
]

with open("validated.csv", "w", newline="") as file:
    writer = csv.writer(file)
    for row in data:
        if validate_row(row):
            writer.writerow(row)

name,age,city
Alice,25,New York
Bob,30,London

import pandas as pd

data = {
    "name": ["Alice", "Bob"],
    "age": [25, 30],
    "city": ["Paris", "London"]
}

df = pd.DataFrame(data)
df.to_csv("data.csv", index=False)

import csv

with open("data_pipe.csv", "w", newline="") as file:
    writer = csv.writer(file, delimiter="|")
    writer.writerow(["Name", "Age", "Country"])
    writer.writerow(["John", 35, "India"])

import csv

with open("quotes.csv", "w", newline="") as file:
    writer = csv.writer(file, quoting=csv.QUOTE_ALL)
    writer.writerow(["Alice", "Software Engineer", "New York"])

import csv

with open("unicode.csv", "w", encoding="utf-8", newline="") as file:
    writer = csv.writer(file)
    writer.writerow(["Name", "City"])
    writer.writerow(["José", "München"])

import csv

fieldnames = ["name", "age", "city"]

with open("users.csv", "w", newline="") as file:
    writer = csv.DictWriter(file, fieldnames=fieldnames)
    writer.writeheader()

    writer.writerow({"name": "Alice", "age": 25, "city": "Paris"})
    writer.writerow({"name": "Bob", "age": 30, "city": "Rome"})

import csv

fieldnames = ["name", "age", "city"]

with open("users.csv", "w", newline="") as file:
    writer = csv.DictWriter(file, fieldnames=fieldnames)
    writer.writeheader()
    writer.writerow({"name": "Alice", "age": 25, "city": "Paris"})

import csv

data = [
    ["Bob", 30, "London"],
    ["Emma", 28, "Berlin"],
]

with open("people.csv", "w", newline="") as file:
    writer = csv.writer(file)
    writer.writerows(data)

import csv

data = [
    ["John", 28, "Toronto"],
    ["Emma", 35, "Berlin"]
]

with open("people.csv", "w", newline="") as file:
    writer = csv.writer(file)
    writer.writerows(data)