The foundations of Python include syntax, data types, functions, libraries, control structures, and programming for a wide range of applications.

1. F U N D A M E N T A L
F U N D A M E N T A L
O F
O F
PYTHON
PYTHON

2. Python is an object-oriented, interpreted programming
language that is also regarded as high-level. Python is a
popular programming language in the software industry that
is easy to learn and very useful.
Python is used by people for software development, web
development and competitive programming. It is
suggested for those who are new to the field of software
engineering because of its simplest syntax. Because of its
many applications in contemporary technological domains
such as Data Science, Machine Learning and Automation
Tasks, its demand is expanding at an extremely fast rate. It
has been listed as one of the best programming languages
for a long time.
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WHAT IS PYTHON?

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In the 1980s, Guido van Rossum invented Python. Python is an
extremely user-friendly programming language that was developed
by him while he was conducting research at the National Research
Institute for Mathematics and Computer Science in the
Netherlands. Only a few data types and rudimentary functionality
were included in the original version, which was launched in 1991.
Subsequently, in 1994, Python 1.0 was published with more
capabilities including map, lambda and filter functions as it
became more and more popular among scientists for data analysis
and numerical calculations. Subsequently, incorporating additional
features and introducing updated Python versions became
popular.
In 1997, Python 1.5 was released.
Python 2.0 was made available in 2000.
Python 3.0 introduced additional features in 2008.
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HISTORY OF PYTHON

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FEATURES OF PYTHON
Simple to read and
comprehend
Language interpretation
Language for object-
oriented programming
Open-source and
cost-free
Versatile and
Extensible
Multi-platform
Flexible, supports GUI
Dynamically typed
High-Level Language
Frontend and
backend development

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WHERE TO USE PYTHON?
Web Development
Data Analyst
Game Development
Ethical Hacking
Data Science
Machine Learning
Automation Testing
DSA in Python

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