Python For Starters

Data Structures

• In computer science, a data structure is a way of organizing and storing data in a computer so that it can be accessed and modified efficiently. Python has a number of built-in data structures, which can be used to store and organize data in an efficient manner.

• Python's basic data structures include list, set, tuples, and dictionary. Each data structure is distinct in its own way. Data structures are "containers" that organize and categorize data. The mutability and order of the data structures differs from one data structure to the other.

• Some of the most common data structures in Python include:

• Lists: Lists are ordered collections of objects. They can store elements of different data types, and are implemented as arrays in Python. Lists are mutable, which means you can change their contents after they have been created.

• Tuples: Tuples are also ordered collections of objects, but they are immutable, which means you cannot change their contents after they have been created. Tuples are often used to store data that should not be modified, such as records in a database.

• Dictionaries: Dictionaries are unordered collections of key-value pairs. They are implemented using hash tables in Python, and are very efficient for looking up values based on their keys.

• Sets: Sets are unordered collections of unique elements. They are useful for storing data that does not need to be in a particular order, and for removing duplicates from a list.

• Strings: Strings are sequences of characters. They are immutable, which means you cannot change the contents of a string after it has been created. Strings are often used to store and manipulate text data.