Python is frequently used for data analysis, data visualization, task automation, and the development of software and websites. Many non-programmers, including scientists and accountants, have embraced Python due to its ease of learning, and they use it for a range of daily chores, including managing finances. Python has emerged as a key language in data science, enabling experts in the field to perform intricate statistical computations, generate data visualizations, construct machine learning algorithms, work with and analyze data, and accomplish other data-related tasks. Python is often used to develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development includes sending data to and from servers, processing data and communicating with databases, routing URLs, and ensuring security. Python offers several frameworks for web development. Commonly used ones include Django and Flask. Python is an object-oriented, high-level, interpreted, interactive, general-purpose, open-source programming language that is best suited for software development. Many topics, including Python Language Fundamentals, Setting Up Python Programming Environments, Python Object-Oriented Programming, Python Data Types, Working with Files, Date Time, Regular Expressions, and Exception Handling, are covered in this Python course. This course is for anyone who wants to learn the foundations of Python.