Understand the Basic Data Handling and Functions of Python
Table of Contents
- jaro education
- 24, July 2023
- 3:59 am
Data handling in Python refers to the process of manipulating and working with data in various formats such as integers, floats, strings, lists, dictionaries, and more. Python provides built-in data structures and functions that allow developers to handle data efficiently and effectively. Data handling is a crucial aspect of advanced analytics and data science as it enables professionals to process, analyze and visualize large sets of data.
Understanding data handling and functions in Python is essential for professionals in various fields, especially in data science and analytics. Also, it is also critical for code reusability and maintainability, making it easier for developers to write clean, efficient, and maintainable code. The Indian Institute of Management Kozhikode (IIM Kozhikode) offers several courses that cover data handling and functions in Python as a part of their curriculum.
Basic Data Types and Handling
A. Variables
In Python, variables are used to store data values that can be later referenced and manipulated. A variable is created when a value is assigned to it using the assignment operator (=). Variable names can be made up of letters, numbers, and underscores, but cannot start with a number.
B. Integers and Floats
Integers and floats are numeric data types in Python. Integers are whole numbers, while floats are numbers with decimals. Numeric data types can be used in mathematical operations such as addition, subtraction, multiplication, and division.