2. INTRODUCTION
Python is a high-level, interpreted
programming language.
Known for its simplicity, readability,
and versatility.
It supports multiple programming
paradigms like procedural, object-
oriented, and functional
programming.
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3. HISTORY OF PYTHON
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The history of Python refers to the development and
evolution of the Python programming language,
which was created by Guido van Rossum in the late
1980s and officially released in 1991. It was designed
to be a simple, readable, and powerful language
that supports multiple programming paradigms.
Over the years, Python has gone through several
major versions, notably Python 2 and Python 3, and
has grown into one of the most popular
programming languages in the world due to its
versatility, ease of use, and vast ecosystem of
libraries and frameworks.
4. FEATURES OF PYTHON
Features of Python refer to the key characteristics
that make Python a powerful, user-friendly, and
widely adopted programming language. Python is
known for its simplicity, readability, and versatility,
making it suitable for both beginners and
professionals. It supports multiple programming
styles, has a large standard library, and is
compatible across platforms. These features
contribute to Python’s popularity in fields like web
development, data science, automation, artificial
intelligence, and more.
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5. Real-World Applications of Python
Web development (e.g., Django, Flask)
Data Science and Machine Learning (e.g.,
Pandas, NumPy, Scikit-learn)
Automation and Scripting
Game development, Desktop GUIs, IoT,
etc.
6. Python in Web Development
Used to build scalable and secure web applications.
Popular frameworks: Django, Flask, FastAPI.
Backend API development, content management
systems, e-commerce sites.
7. Python in Data Science and AI
A presentation is a formal talk, often delivered in
front of an audience, aimed at conveying
information, persuading others, or sharing
insights on a particular topic.
API Development
A presentation is a formal talk, often delivered in
front of an audience, aimed at conveying
information, persuading others, or sharing
insights on a particular topic.
Python dominates data science due
to its powerful libraries.
Used for data analysis, visualization,
machine learning, and deep
learning.
Supports frameworks like
TensorFlow, Keras, PyTorch.
8. Career Opportunities with Python
Python Developer
Data Analyst / Data Scientist
Machine Learning Engineer
Web Developer (Backend)
DevOps Engineer / Automation Engineer
9. Conclusion
The Python course provides a strong
foundation in one of the most versatile
and in-demand programming languages
in the world. With its simple syntax, wide
range of applications, and strong
community support, Python is ideal for
beginners as well as experienced
developers. Whether used for web
development, data analysis, machine
learning, or automation, Python continues
to play a critical role in modern
technology.
10. Thank You
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