Python | Set 4 (Dictionary, Keywords in Python)

Last Updated : 11 Sep, 2023

In the previous two articles (Set 2 and Set 3), we discussed the basics of python. In this article, we will learn more about python and feel the power of python.

Dictionary in Python

In python, the dictionary is similar to hash or maps in other languages. It consists of key-value pairs. The value can be accessed by a unique key in the dictionary. (Before python 3.7 dictionary used to be unordered meant key-value pairs are not stored in the order they are inputted into the dictionary but from python 3.7 they are stored in order like the first element will be stored in the first position and the last at the last position.)

Python3

   # Create a new dictionary  
d = dict() # or d = {} 
  
# Add a key - value pairs to dictionary 
d['xyz'] = 123
d['abc'] = 345
  
# print the whole dictionary 
print (d) 
  
# print only the keys 
print (d.keys()) 
  
# print only values 
print (d.values()) 
  
# iterate over dictionary  
for i in d : 
    print ("%s  %d" %(i, d[i])) 
  
# another method of iteration 
for index, key in enumerate(d): 
    print (index, key, d[key]) 
  
# check if key exist 
print ('xyz' in d) 
  
# delete the key-value pair 
del d['xyz'] 
  
# check again  
print ("xyz" in d)
 
  

Output:

{'xyz': 123, 'abc': 345}  ['xyz', 'abc']  [123, 345]  xyz 123  abc 345  0 xyz 123  1 abc 345  True  False

Time Complexity: O(1)
Auxiliary Space: O(n)

break, continue, pass in Python

break: takes you out of the current loop.
continue: ends the current iteration in the loop and moves to the next iteration.
pass: The pass statement does nothing. It can be used when a statement is required. syntactically but the program requires no action.

It is commonly used for creating minimal classes.

Python3

   # Function to illustrate break in loop 
def breakTest(arr): 
    for i in arr: 
        if i == 5: 
            break
        print (i) 
    # For new line 
    print("")  
  
# Function to illustrate continue in loop 
def continueTest(arr): 
    for i in arr: 
        if i == 5: 
            continue
        print (i) 
  
    # For new line 
    print("")  
  
# Function to illustrate pass  
def passTest(arr): 
        pass
  
      
# Driver program to test above functions 
  
# Array to be used for above functions: 
arr = [1, 3 , 4, 5, 6 , 7] 
  
# Illustrate break 
print ("Break method output") 
breakTest(arr) 
  
# Illustrate continue  
print ("Continue method output") 
continueTest(arr) 
  
# Illustrate pass- Does nothing 
passTest(arr)
 
  

Output:

Break method output  1 3 4  Continue method output  1 3 4 6 7

Time complexity: O(n), where n is the length of the array arr.
Auxiliary space: O(1), since the space used is constant and does not depend on the size of the input.

map, filter, lambda

map: The map() function applies a function to every member of iterable and returns the result. If there are multiple arguments, map() returns a list consisting of tuples containing the corresponding items from all iterables.
filter: It takes a function returning True or False and applies it to a sequence, returning a list of only those members of the sequence for which the function returned True.
lambda: Python provides the ability to create a simple (no statements allowed internally) anonymous inline function called lambda function. Using lambda and map you can have two for loops in one line.

Python3

   # python program to test map, filter and lambda 
items = [1, 2, 3, 4, 5] 
  
#Using map function to map the lambda operation on items 
cubes = list(map(lambda x: x**3, items)) 
print(cubes) 
  
# first parentheses contains a lambda form, that is   
# a squaring function and second parentheses represents 
# calling lambda 
print( (lambda x: x**2)(5)) 
  
# Make function of two arguments that return their product 
print ((lambda x, y: x*y)(3, 4)) 
  
#Using filter function to filter all  
# numbers less than 5 from a list 
number_list = range(-10, 10) 
less_than_five = list(filter(lambda x: x < 5, number_list)) 
print(less_than_five)
 
  

Output:

[1, 8, 27, 64, 125]  25  12  [-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4]

For more clarity about map, filter, and lambda, you can have a look at the below example:

Python3

   # code without using map, filter and lambda 
  
# Find the number which are odd in the list 
# and multiply them by 5 and create a new list 
  
# Declare a new list 
x = [2, 3, 4, 5, 6] 
  
# Empty list for answer 
y = [] 
  
# Perform the operations and print the answer 
for v in x: 
    if v % 2: 
        y += [v*5] 
print(y) 
 
  

Output:

[15, 25]

The same operation can be performed in two lines using map, filter, and lambda as :

Python3

   # above code with map, filter and lambda 
  
# Declare a list 
x = [2, 3, 4, 5, 6] 
  
# Perform the same operation as  in above post 
y = list(map(lambda v: v * 5, filter(lambda u: u % 2, x))) 
print(y) 
 
  

Output:

[15, 25]

https://www.youtube.com/watch?v=z7z_e5-l2yE

Python Dictionary keys() method

Nikhil Kumar Singh

Improve

Article Tags :

Practice Tags :

Python | Set 4 (Dictionary, Keywords in Python)

Dictionary in Python

Python3

break, continue, pass in Python

Python3

map, filter, lambda

Python3

Python3

Python3

Similar Reads