Python Revision P3 (Short Hand Python)

Python Summary Cheat Sheet - 3

https://www.ccbp.in/

Built - In - Functions

Name	Usage
print()	Function prints the message to the screen or any other standard output device.
int()	Converts valid data of any type to integer.
str()	Converts data of any type to a string.
id()	To find the id of a object.
round(number, digits(optional))	Rounds the float value to the given number of decimal digits.
bool()	Converts to boolean data type.
ord(character)	Gives unicode value of the character.
chr(unicode)	Gives character with the unicode value.
list(sequence)	Takes a sequence and converts it into list.
tuple(sequence)	Takes a sequence and converts it into tuple.
set(sequence)	Takes any sequence as argument and converts to set, avoiding duplicates.
dict(sequence)	Takes any number of key-value pairs and converts to dictionary.
float()	Converts to float data type.
type()	Check the datatype of the variable or value using.
min()	Returns the smallest item in a sequence or the smallest of two or more arguments.
max()	Returns the largest item in a sequence or the largest of two or more arguments.
sum(sequence)	Returns the sum of items in a sequence.
sorted(sequence)	Returns a new sequence with all the items in the given sequence ordered in increasing order.
sorted(sequence, reverse=True)	Returns a new sequence with all the items in the given sequence ordered in decreasing order.
len(sequence)	Returns the length of the sequence.
map()	Applies a given function to each item of a sequence (list, tuple etc.) and returns a sequence of the results.
filter()	Method filters the given sequence with the help of a function that tests each element in the sequence to be true or not.
reduce()	Receives two arguments, a function and an iterable. However, it doesn't return another iterable, instead, it returns a single value.

Floating Point Approximation: Float values are stored approximately.

print(0.1 + 0.2) # 0.30000000000000004

Floating Point Errors: Sometimes, floating point approximation gives unexpected results.

print((0.1 + 0.2) == 0.3) # False

Different compound assignment operators are: +=, -=, *=, /=, %=

a = 10
a += 1
print(a) # 11

a = 10
a -= 2
print(a) # 8

a = 10
a /= 2
print(a) # 5.0

a = 10
a %= 2
print(a) # 0

Single And Double Quotes: A string is a sequence of characters enclosed within quotes.

sport = 'Cricket'
sport = "Cricket"

Escape Characters: Escape Characters are a sequence of characters in a string that is interpreted differently by the computer. We use escape characters to insert characters that are illegal in a string.

print("Hello\nWorld")

# Output is:
Hello
World

We got a new line by adding \n escape character.

Name	Usage
\n	New Line
\t	Tab Space
\\	Backslash
\'	Single Quote
\"	Double Quote

Set Methods, Operations and Comparisons

Set Methods:

Name	Syntax	Usage
add()	set.add(value)	Adds the item to the set, if the item is not present already.
update()	set.update(sequence)	Adds multiple items to the set, and duplicates are avoided.
discard()	set.discard(value)	Takes a single value and removes if present.
remove()	set_a.remove(value)	Takes a value and removes it if it is present or raises an error.
clear()	set.clear()	Removes all the items in the set.

Set Operations:

Union: Union of two sets is a set containing all elements of both sets. Syntax: set_a | set_b (or) set_a.union(sequence)

set_a = {4, 2, 8}
set_b = {1, 2}
union = set_a | set_b
print(union) # {1, 2, 4, 8}

Intersection: The intersection of two sets is a set containing common elements of both sets. Syntax: set_a & set_b (or) set_a.intersection(sequence)

set_a = {4, 2, 8}
set_b = {1, 2}
intersection = set_a & set_b
print(intersection) # {2}

Difference: The difference of two sets is a set containing all the elements in the first set but not the second.

Syntax: set_a - set_b (or) set_a.difference(sequence)

set_a = {4, 2, 8}
set_b = {1, 2}
diff = set_a - set_b
print(diff) # {8, 4}

Symmetric Difference: Symmetric difference of two sets is a set containing all elements which are not common to both sets. Syntax: set_a ^ set_b (or) set_a.symmetric_difference(sequence)

set_a = {4, 2, 8}
set_b = {1, 2}
symmetric_diff = set_a ^ set_b
print(symmetric_diff) # {8, 1, 4}

Set Comparisons: Set comparisons are used to validate whether one set fully exists within another.

issubset(): set2.issubset(set1) Returns True if all elements of the second set are in the first set. Else, False.

issuperset(): set1.issuperset(set2) Returns True if all elements of second set are in first set. Else, False.

isdisjoint(): set1.isdisjoint(set2) Returns True when they have no common elements. Else, False.

Tuples

Tuple: Holds an ordered sequence of items. Tuple is an immutable object, whereas a list is a mutable object.

tuple_a = (5, "Six", 2, 8.2)

Accessing Tuple Elements: Accessing Tuple elements is also similar to string and list accessing and slicing.

tuple_a = (5, "Six", 2, 8.2)
print(tuple_a[1]) # Six

Tuple Slicing: The slice operator allows you to specify where to begin slicing, where to stop slicing, and what step to take. Tuple slicing creates a new tuple from an old one.

tuple= ('a','b','c','d','e','f','g','h','i','j')
print(tuple[0:2]) # ('a', 'b')
print(tuple[-1:-3:-2]) # ('j',)
print(tuple[1:7:2]) # ('b', 'd', 'f')

Membership Check: Check if the given data element is part of a sequence or not.Membership Operators in and not in.

tuple_a = (1, 2, 3, 4)
is_part = 5 in tuple_a
print(is_part) # False

tuple_a = (1, 2, 3, 4)
is_part = 5 not in tuple_a
print(is_part) # True

Tuple Packing: () brackets are optional while creating tuples. In Tuple Packing, Values separated by commas will be packed into a tuple.

a = 1, 2, 3
print(type(a))
print(a)

# Output is:
<class 'tuple'>
(1, 2, 3)

Unpacking: Values of any sequence can be directly assigned to variables. Number of variables in the left should match the length of the sequence.

tuple_a = ('R', 'e', 'd')
(s_1, s_2, s_3) = tuple_a
print(s_1, s_2, s_3) # R e d

Dictionaries

Dictionaries: Unordered collection of items. Every dictionary item is a Key-value pair.

Creating a Dictionary: Created by enclosing items within {curly} brackets. Each item in the dictionary has a key-value pair separated by a comma.

dict_a = {
  "name": "Teja",
  "age": 15 
}

Immutable Keys: Keys must be of an immutable type and must be unique. Values can be of any data type and can repeat.

Accessing Items:To access the items in dictionary, we use square bracket [ ] along with the key to obtain its value.

dict_a = {
  'name': 'Teja',
  'age': 15
}
print(dict_a['name']) # Teja

Accessing Items - Get: The get() method returns None if the key is not found.

dict_a = {
  'name': 'Teja',
  'age': 15
}
print(dict_a.get('name')) # Teja
print(dict_a.get('city')) # None

Membership Check: Checks if the given key exists.

dict_a = {
  'name': 'Teja',
  'age': 15
}
result = 'name' in dict_a
print(result) # True

Adding a Key-Value Pair:

dict_a = {'name': 'Teja','age': 15 }
dict_a['city'] = 'Goa'
print(dict_a) # {'name': 'Teja', 'age': 15, 'city': 'Goa'}

Modifying an Existing Item: As dictionaries are mutable, we can modify the values of the keys.

dict_a = {
    'name': 'Teja',
    'age': 15
}
dict_a['age'] = 24
print(dict_a) # {'name': 'Teja', 'age': 24}

Deleting an Existing Item: We can also use the del keyword to remove individual items or the entire dictionary itself.

dict_a = {
  'name': 'Teja',
  'age': 15
}
del dict_a['age']
print(dict_a) # {'name': 'Teja'}

Sets

Sets: Unordered collection of items. Every set element is Unique (no duplicates) and Must be immutable.

No Duplicate Items: Sets contain unique elements

set_a = {"a", "b", "c", "a"}
print(set_a) # {'b', 'a', 'c'}

Immutable Items: Set items must be immutable. As List is mutable, Set cannot have list as an item.

set_a = {"a", ["c", "a"]}
print(set_a)  # TypeError: unhashable type: 'list'

Dictionary Views & Methods

Dictionary Views:

View	Syntax	Usage
keys	dict.keys()	Returns dictionary Keys.
Values	dict.values()	Returns dictionary Values.
items	dict.items()	Returns dictionary items(key-value) pairs.

Dictionary Methods:

Name	Syntax	Usage
copy	dict.copy()	Returns copy of a dictionary.
update	dict.update(iterable)	Inserts the specified items to the dictionary.
clear	dict.clear()	Removes all the elements from a dictionary.