Working with Dictionaries in python
Dictionaries in Python are a sequence of key-value pairs, with each key having an associated value. In other languages, dictionaries are known as associative memories or associative arrays.
Dictionaries in Python are a sequence of key-value pairs, with each key having an associated value. In other languages, dictionaries are known as associative memories or associative arrays.
Python set comprehension is very similar to list comprehension. In set comprehension, curly braces are used, while in list comprehension, square brackets are used.
Sets in Python are unordered sequences of items with no duplicates. It’s closely related to sets in mathematics. Sets do not support indexing and as such are considered an ordered collection.
Tuples in Python, also known as immutable lists, are ordered sequences of items. Like lists, tuples are made up of items separated by commas. However, unlike the lists, items are enclosed in parentheses instead of square brackets.
Essentially, python does not have stack and queues like programming languages like Java. In this post, we will be exploring the implementation of Python stack and queues using the collections library.
List comprehension in Python offers a powerful way to create and manipulate items in a list or any other sequence in a single line of code.
A list in Python is an ordered sequence of objects or data. It comprises data items or elements separated by commas and enclosed within a squared bracket.
Computation thinking is very essential in any problem-solving activity. It is a skill that cannot be overlooked, especially, if you are in the field of programming or software development.
As a self-thought programmer, I must confess that learning programming on your own is not a smooth ride.