Welcome to the Python Programming

Python is an incredibly versatile and powerful programming language known for its simplicity and readability. As an interpreted, high-level language, Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Its extensive standard library, combined with comprehensive third-party modules, allows for the development of applications ranging from web development, data analysis, artificial intelligence, scientific computing, and more.

Dive into our tutorials, tips, and guides, and join the millions of developers worldwide who are building the future with Python.

indentation matters

Integrated Development Environments (IDEs)

Python Version

import sys
print(sys.version)

3.7.10 (default, Feb 20 2021, 21:17:23)

python --version

Installed libraries

%pip freeze

C:\Users>python -m pip freeze

$ python -m pip freeze

Python Basics

Python libraries

Pandas Python data analysis tool

CBSE Python

High School Python ( part of Syllabus)

IPython

• A rich toolkit for interactive data visualization and use of GUI toolkits.
• Easy-to-use, high-performance tools for parallel computing.
• Comprehensive introspection, the capability to access the underlying Python objects with ease.
• Improved readability of code outputs with syntax highlighting.
• A browser-based notebook interface via Jupyter Notebooks, which supports code, text, mathematical expressions, inline plots, and other rich media.
• Magic commands (special commands prefixed with % or %% that are designed to solve common problems in standard data analysis).

Difference Between IPython and Python

• Interface and Features: Python's standard shell is simpler and primarily focused on executing Python commands. IPython, on the other hand, offers a rich set of interactive features designed to enhance user productivity in data science and other computational tasks.
• Target Audience: While Python serves programmers across all domains, IPython is particularly beneficial for scientists, researchers, and data analysts due to its powerful interactive features that facilitate exploration and testing.
• Integration with Jupyter: IPython integrates with Jupyter Notebooks, providing an interactive web-based interface that combines executable code, rich text, equations, and visualizations in a single document.
• Extension and Customization: IPython allows for a higher degree of customization and extension, with support for profiles, plugins, and magic commands, making it adaptable to a wide range of workflows.
• Use Cases: Python can be used for scripting, web development, app development, and more. IPython, while capable of similar tasks, shines in interactive computing, exploratory data analysis, and scientific research.