I/O Operations exercices notebook

In [1]:

file = open("example.txt", "r")
contents = file.read()
print(contents)
file.close()

file = open("example.txt", "r") contents = file.read() print(contents) file.close()

hello everyone how are you doing
Im doing very well this weekend 
thank you :) 

In [2]:

file = open("example.txt", "r")
first_line = file.readline()
print(first_line)
file.close()

file = open("example.txt", "r") first_line = file.readline() print(first_line) file.close()

hello everyone how are you doing

In [3]:

file = open("example.txt", "r")
lines = file.readlines()
print(lines)
file.close()

file = open("example.txt", "r") lines = file.readlines() print(lines) file.close()

['hello everyone how are you doing\n', 'Im doing very well this weekend \n', 'thank you :) ']

In [5]:

file = open("example2.txt", "w")
file.write("Hello, World!")
file.close()

file = open("example2.txt", "w") file.write("Hello, World!") file.close()

In [7]:

file = open("example2.txt", "a")
file.write("\nHow are you today")
file.close()

file = open("example2.txt", "a") file.write("\nHow are you today") file.close()

In [8]:

with open("example.txt", "r") as file:
    contents = file.read()
    print(contents)

with open("example.txt", "r") as file: contents = file.read() print(contents)

hello everyone how are you doing
Im doing very well this weekend 
thank you :) 

In [9]:

import csv

import csv

In [10]:

with open('data.csv', 'r') as csv_file:
    csv_reader = csv.reader(csv_file)

    # Loop over each row in the CSV file
    for row in csv_reader:
        # Access the values of each row
        print(row)

with open('data.csv', 'r') as csv_file: csv_reader = csv.reader(csv_file) # Loop over each row in the CSV file for row in csv_reader: # Access the values of each row print(row)

['To Kill a Mockingbird', 'Harper Lee', 'Grand Central Publishing', 'July 11 1960', '9780446310789']
['1984', 'George Orwell', 'Signet Classic', 'June 1 1961', '9780451524935']
['The Great Gatsby', 'F. Scott Fitzgerald', 'Scribner', ' April 10 1925', '9780743273565']
['Pride and Prejudice', 'Jane Austen', 'Penguin Classics', 'January 28 1813', '9780141439518']
['The Catcher in the Rye', 'J.D. Salinger', 'Little Brown and Company', 'July 16 1951', '9780316769174']

In [11]:

with open('data2.csv', 'w', newline='') as csv_file:
    csv_writer = csv.writer(csv_file)

    # Write rows to the CSV file
    csv_writer.writerow(['Title', 'Author', 'Publisher'])
    csv_writer.writerow(['To Kill a Mockingbird', 'Harper Lee', 'Grand Central Publishing'])

with open('data2.csv', 'w', newline='') as csv_file: csv_writer = csv.writer(csv_file) # Write rows to the CSV file csv_writer.writerow(['Title', 'Author', 'Publisher']) csv_writer.writerow(['To Kill a Mockingbird', 'Harper Lee', 'Grand Central Publishing'])

In [12]:

import csv

with open('data2.csv', 'a', newline='') as csv_file:
    csv_writer = csv.writer(csv_file)

    # Append rows to the CSV file
    csv_writer.writerow(['1984', 'George Orwell', 'Signet Classic'])

import csv with open('data2.csv', 'a', newline='') as csv_file: csv_writer = csv.writer(csv_file) # Append rows to the CSV file csv_writer.writerow(['1984', 'George Orwell', 'Signet Classic'])

In [14]:

import csv

# Read in the CSV file and filter out the rows that match a specific criteria
with open('data2.csv', 'r') as csv_file:
    csv_reader = csv.reader(csv_file)

    filtered_rows = []
    for row in csv_reader:
        if row[0] != '1984':
            filtered_rows.append(row)

# Write the filtered rows back to the CSV file
with open('data2.csv', 'w', newline='') as csv_file:
    csv_writer = csv.writer(csv_file)

    for row in filtered_rows:
        csv_writer.writerow(row)

import csv # Read in the CSV file and filter out the rows that match a specific criteria with open('data2.csv', 'r') as csv_file: csv_reader = csv.reader(csv_file) filtered_rows = [] for row in csv_reader: if row[0] != '1984': filtered_rows.append(row) # Write the filtered rows back to the CSV file with open('data2.csv', 'w', newline='') as csv_file: csv_writer = csv.writer(csv_file) for row in filtered_rows: csv_writer.writerow(row)

In [ ]: