In [20]:

    

# open is used to open a file object
f = open('README.md', 'r')


    

In [21]:

    

# The different modes availabe are 
# r -> for reading the file
# w -> for writing to the file
# a -> for appending to the file i.e. adding to the last
# r+ -> for both reading and writitng


    

In [22]:

    

# Always use with keyword to open a file as it ensures that the file is closed properly
with open('README.md', 'r') as f:
    read_data = f.read()    # read is used to get the contents of the opened file
f.closed   
# without the with keyword you should close the file as 
# f.close


    

    
Out[22]:





True

In [32]:

    

with open('Sample.txt', 'r') as f:
    for line in f:
        print(line)
f.closed


    

    




This is the first line.

This is the second line.

This is the last line.







    
Out[32]:





True

In [35]:

    

with open('Sample.txt', 'r') as f:
    first_line = f.readline()  # Introduces \n at the end of lines
    second_line = f.readline()
    last_line = f.readline()
f.closed

print(first_line)
print(second_line)
print(last_line)


    

    




This is the first line.

This is the second line.

This is the last line.

In [38]:

    

with open('Sample.txt', 'w') as f:
    f.write('This is the test line\n')
f.closed


    

    
Out[38]:





True

In [39]:

    

# To save complex data types like lists use JSON
# It can take Python data hierarchies and convert them to string -> serializing
# Reconstruct the data from string -> deserializing


    

In [41]:

    

# To view json representation of an object
import json
data = [1,2,'a']

json.dumps(data)


    

    
Out[41]:





'[1, 2, "a"]'

In [42]:

    

data = {'one':1, 'two':2}
json.dumps(data)


    

    
Out[42]:





'{"one": 1, "two": 2}'

In [46]:

    

# Write the json object to a file
with open('Sample.txt', 'w') as f:
    json.dump(data, f)
f.closed


    

    
Out[46]:





True

In [50]:

    

# Get the json object from the file
with open('Sample.txt', 'r') as f:
    x = json.load(f)
f.closed

x


    

    
Out[50]:





{'one': 1, 'two': 2}

In [ ]: