What is Python:
Python is an open-source (free) programming language that is used in web
programming, data science, artificial intelligence, and many specific
applications.
Learning Python allows the programmer to focus on solving problems, rather
than focusing on syntax.
Python was created by Guido van Rossum in 1991 and further developed by the
Python Software Foundation.
Python is both a compiled and interpreted language.
Features of Python:
Easy language: Python is an easy language as it is easy to read, write,
learn and understand.
Readable: Python language is designed to make developer's life easier.
Reading a Python code is like reading an English sentence. This is one of
the key reasons that makes Python best for beginners.
Interpreted Language: Python is an interpreted language. It comes with
IDLE (Interactive Development Environment). This is an interpreter and
follows the REPL structure (Read – Execute – Print – Loop). It executes
and displays the output of one line at a time.
Dynamically-Typed Language: We don’t need to declare datatype while
defining a variable. The interpreter determines this at runtime based on
the types of the parts of the expression.
Object-Oriented: Python is object-oriented but supports both functional
and object-oriented programming. Everything in Python is an object.
Open-Source: Python is open-source and the community is always
contributing it to improve it. It is free and its source code is freely
available to the public.
, Large Standard Library: The standard library is large and has many
packages and modules with common and important functionality.
Platform-Independent: Python is platform-independent. If you write a
program, it will run on different platforms like Windows, Mac and Linux.
Extensible and Embeddable: Python is extensible, meaning you can
integrate code from other languages (like C/C++) into your Python
scripts for performance-critical tasks. It is also embeddable, which means
Python can be included as a scripting engine inside other programs (for
example, embedding Python in a C++ application to handle user scripts
or configurations).
GUI Support: You can use Python to create GUI (Graphical User
Interface).
Applications of Python:
Desktop Applications: Programs like calculators or note-taking apps that
run on Windows, Mac, or Linux.
Web Applications: Dynamic websites and backend services using
frameworks like Django and Flask.
Data Science: Analyzing and interpreting large datasets with tools like
pandas and NumPy.
Machine Learning: Writing algorithms that learn from data using scikit-
learn or TensorFlow.
Robotics: Controlling robots using Python for movement, vision, and
interaction.
Artificial Intelligence: Building intelligent systems that can reason,
learn, and adapt.
Internet of Things (IoT): Managing smart devices and sensor data over
networks.
Gaming: Developing games or prototypes using frameworks like
Pygame.