Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

codophobia/python-code-snippets

Folders and files

NameName
Last commit message
Last commit date

Latest commit

History

2 Commits

Repository files navigation

Python Code Snippets

List

# Create a list and iterate over it
 
numbers = []
numbers.append(1)
numbers.append(2)
numbers.append(3)
 
for num in numbers:
 print(num)
 
'''
1
2
3
'''
# Create a list and iterate over it
 
numbers = [1, 2, 3]
length = len(numbers)
for i in range(length):
 print(numbers[i])
 
# Output
'''
1
2
3
'''
# Modify values in a list
 
numbers = [1, 2, 3]
for i in range(len(numbers)):
 numbers[i] += 1
print(numbers)
 
'''
[2, 3, 4]
'''
# Sort a list in-place in ascending order
 
a = [2, 4, 1, 9, 8]
a.sort()
print(a)
 
'''
[1, 2, 4, 8, 9]
'''
# Sort a list in-place in descending order
 
a = [2, 4, 1, 9, 8]
a.sort(reverse = True)
print(a)
 
'''
[9, 8, 4, 2, 1]
'''

Strings

# Declare a string and iterate over the characters
 
string = 'Hello'
for c in string:
 print(c)
 
'''
H
e
l
l
o
'''
# Declare a string and iterate over the characters
 
string = 'Hello'
for i in range(len(string)):
 print(string[i])
 
'''
H
e
l
l
o
'''
# Modifying a string
 
string = 'hello'
string[0] = 'H'
 
'''
TypeError: 'str' object does not support item assignment
'''
# Sort a string
 
s = 'shivam'
sorted_s = ''.join(sorted(s))
print(sorted_s)
 
'''
ahimsv
'''

Tuples

# Declare a tuple and iterate over it
 
vowels = ('a', 'e', 'i', 'o', 'u')
for v in vowels:
 print(v)
 
'''
a
e
i
o
u
'''
# Declare a tuple and print elements
 
vowels = ('a', 'e', 'i', 'o', 'u')
print(vowels[0])
print(vowels[2])
print(vowels[-1])
 
'''
a
i
u
'''
# Modify a tuple
 
vowels = ('a', 'e', 'i', 'o', 'u')
vowels[0] = 'b'
 
'''
TypeError: 'tuple' object does not support item assignment
'''

Dictionary

# Declare a dictionary and print key value pairs
 
d = {'1': 'Dhoni', '2': 'Sachin', '3': 'Dravid'}
 
for k,v in d.items():
 print(k,v)
 
'''
1 Dhoni
2 Sachin
3 Dravid
'''
# Dynamically insert key values and print it
 
d = {}
 
# Store square of numbers from 1 to 5
for i in range(1, 6):
 d[i] = i*i
 
# Print the square
for k,v in d.items():
 print(k,v)
 
# Output
'''
1 1
2 4
3 9
4 16
5 25
'''

Set

# Declare a set, insert values and print it
 
s = set()
s.add(1)
s.add(4)
s.add(3)
s.add(1)
print(s)
 
'''
{1, 3, 4}
'''

2D list/array

# Declare a 2D list
 
N = 5
M = 5
 
matrix = [0]*N
for i in range(N):
 col = [0]*M
 matrix[i] = col
print(matrix)
 
'''
[[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]]
'''
# Declare a 2D list
 
N = 5
M = 5
 
matrix = [[0 for j in range(M)] for i in range(N)]
print(matrix)
 
'''
[[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]]
'''
# Declare a 2D list
 
N = 5
M = 5
 
matrix = [[0]*M for i in range(N)]
print(matrix)
 
'''
[[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]]
'''
# Modify the values in a 2D list
 
matrix = [[0]*4 for i in range(3)]
for i in range(3):
 for j in range(4):
 matrix[i][j] += 1
print(matrix)
 
'''
[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]
'''

Deque

# Operations on deque
 
from collections import deque
 
dq = deque([])
dq.append(1)
dq.append(2)
dq.appendleft(3)
dq.appendleft(4)
print(dq)
print(dq.pop())
print(dq.popleft())
 
'''
deque([4, 3, 1, 2])
2
4
'''

Queue

# Implement queue using deque
 
from collections import deque
 
q = deque([])
q.append(1)
q.append(2)
q.append(3)
print(q)
print(q.popleft())
print(q.popleft())
 
'''
deque([1, 2, 3])
1
2
'''
# Implement queue using Queue
 
from queue import Queue
q = Queue()
q.put(1)
q.put(2)
q.put(2)
print(q.qsize())
print(q.get())
print(q.get())
print(q.qsize())
 
'''
3
1
2
1
'''

Stack

# Implement stack using list
 
stack = []
stack.append(1)
stack.append(2)
stack.append(3)
 
print(stack)
print(stack.pop())
print(stack.pop())
print(stack)
 
'''
[1, 2, 3]
3
2
[1]
'''
# Implement stack using deque
 
from collections import deque
 
stack = deque([])
stack.append(1)
stack.append(2)
stack.append(3)
 
print(stack)
print(stack.pop())
print(stack.pop())
print(stack)
 
'''
deque([1, 2, 3])
3
2
deque([1])
'''

Ordered dictionary

# Operations on ordereddict
 
from collections import OrderedDict
 
d = OrderedDict()
d[1] = 2
d[2] = 3
d[3] = 4
 
# If we print the dictionary now, the keys will be printed in order of insertion.
for k,v in d.items():
 print(k,v)
 
print(d.popitem(last=False))
print(d.popitem())
 
'''
1 2
2 3
3 4
(1, 2)
(3, 4)
'''

Defaultdict

# Operations on defaultdict
 
from collections import defaultdict
 
numbers = [1, 1, 2, 5, 2, 8]
d = defaultdict(int)
 
for num in numbers:
 d[num] += 1
 
for k,v in d.items():
 print(k, v)
 
'''
1 2
2 2
5 1
8 1
'''

Counters

from collections import Counter
 
numbers = [1, 1, 2, 5, 2, 8]
cntr = Counter(numbers)
 
for k,v in cntr.items():
 print(k, v)
 
'''
1 2
2 2
5 1
8 1
'''

Namedtuples

from collections import namedtuple
 
Point = namedtuple('Point', ['x', 'y'])
p1 = Point(1, 2)
print(p1.x, p1.y)
 
'''
1 2
'''

Heaps

# Min heap usage
 
import heapq
 
L = []
heapq.heapify(L) # Min heap
heapq.heappush(L, 3) # Pushing 3 into heap
heapq.heappush(L, 2) # Pushing 2 into heap
print(L)
print(heapq.heappop(L)) # Popping the minimum element
print(L)
 
'''
[2, 3]
2
[3]
'''

Binary search

# Check if an elements is present or not and return the index if element is present
 
from bisect import bisect_left
a = [1, 2, 4, 4, 5]
x = 4
idx = bisect_left(a, x)
if idx != len(a) and a[idx] == x:
 print(f'{x} is present at index {idx}')
else:
 print('Element not found')
 
'''
4 is present at index 2
'''
# Find index of first element greater than or equal to target(x)
 
from bisect import bisect_left
a = [1, 2, 4, 4, 5]
x = 6
idx = bisect_left(a, x)
if idx == len(a):
 print('All elements are smaller than the target element')
else:
 print(idx)
 
'''
All elements are smaller than the target element
'''
# Find index of first element greater than target(x)
 
from bisect import bisect_right
a = [1, 2, 4, 4, 5]
x = 4
idx = bisect_right(a, x)
if idx == len(a):
 print('All elements are smaller than the target element')
else:
 print(idx)
 
'''
4
'''

Linked list

# Create a singly linked list and traverse it
 
class Node:
 def __init__(self, data):
 self.data = data
 self.next = None
 
class LinkedList:
 def __init__(self):
 self.head = None
 def insert_at_end(self, data):
 new_node = Node(data)
 if self.head is None:
 self.head = new_node
 else:
 temp = self.head
 while(temp.next):
 temp = temp.next
 temp.next = new_node
 def traverse(self):
 temp = self.head
 while(temp):
 print(temp.data)
 temp = temp.next
 
ll = LinkedList()
ll.insert_at_end(1)
ll.insert_at_end(2)
ll.insert_at_end(3)
ll.traverse()
 
'''
1
2
3
'''

Binary Tree

# Create a binary tree and traverse it
 
class Node:
 def __init__(self, data):
 self.data = data
 self.left = None
 self.right = None
 
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
root.right.left = Node(5)
 
# Binary tree created from the above code
'''
 1
 / \
 2 3
 / \
 4 5
'''
 
def inorder(root):
 if not root:
 return
 print(root.data)
 inorder(root.left)
 inorder(root.right)
 
inorder(root)
 
'''
1
2
4
3
5
'''

Graph

# Create a graph and traverse it
 
from collections import defaultdict
 
graph = defaultdict(list)
graph[1].append(2) # 1 -> 2
graph[2].append(3) # 1 -> 2 -> 3
graph[4].append(1) # 4 -> 1 -> 2 -> 3
 
visited = set()
 
def dfs(node, graph, visited):
 if node not in visited:
 print(node)
 visited.add(node)
 for v in graph[node]:
 dfs(v, graph, visited)
 
dfs(4, graph, visited)
 
'''
4
1
2
3
'''

About

Code snippets on how to use different features in Python 3

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

AltStyle によって変換されたページ (->オリジナル) /