Definition
Python is a
computer programming language that is normally used to create websites and
software, automate tasks, and conduct data analysis. It is the top choice
programming language for AI due to:
- Clear Syntax (Simple and easy to learn).
- Extensive AI/ML libraries (TensorFlow, PyTorch, scikit-learn)
- Strong Community Support (Large, active AI community) [1].
The following is a simple sample code of python.
# Program to
calculate student grade
def
calculate_grade(score):
if score >= 90:
return "A"
else:
return "F"
student_name = "Chibuike"
math_score = 85
result =
calculate_grade(math_score)
print (student_name,
"got grade:", result)
Origin
The origin of python can be traced back to the 1980s, when it was created by Guido van Rossum, during his research at the National Research Institute for Mathematics and Computer Science in the Netherlands. Its first ever version released in 1991, had only a few built-in data types and basic functionality. Later, releasing newer versions of it with extra features and functionalities became a trend [2].
Context and Usage
Python's
enduring popularity and widespread adoption can be attributed to its versatility
and the many tools in its framework. Python can be used for various tasks such
as game development, web development, artificial intelligence and machine learning.
In Game
development, Python has been used to create popular titles such as Call of
Duty, Battlefield 2, the Sims 4, Pirates of the Caribbean, etc. Its game
development libraries like Panda3D, PyGame, Pyglet, and Kivy, make the range of
functions and applications Python can power possible
In web
development, Python’s flexibility and ease of use make it the ideal choice. Developers
use Python for Reddit, Pinterest, Instagram, and Spotify applications Flask,
Django, Web2Py, CherryPy, and Bottle are all examples of frameworks used for
web development based on Python.
In Machine learning and artificial intelligence, python’s simplicity and stability make it a good option. Keras, TensorFlow, NumPy, and SciPy are all examples of machine learning libraries made possible with Python [3].
Why it Matters
Though there are other technology options for AI solutions, Python is the best choice of programming language for AI. Python developers are in high-demand as a result of what they can accomplish with the language. It offers great libraries and frameworks for AI and Machine Learning (ML). They offer computational capabilities, statistical calculations, scientific computing, and much more. The ideal AI programming language should be powerful, scalable, and readable, three strengths that Python demonstrates exceptionally well [4].
In Practice
A good example of a real-life case study of python been put to practice is Tinder. Python plays a big role in Tinder, once a small start-up (way back in 2012) that has exploded into an online dating giant that 75 monthly million users enjoy. It depends on Python to maintain a top-tier, user-friendly interface and perform machine learning tasks throughout its active AI ecosystem [5].
Reference
- Geeksforgeeks. (2025). AI With Python Tutorial.
- Geeksforgeeks. (2025). What is Python? Its Uses and Applications.
- Coursera Staff. (2025). What Are Some Examples of Python Applications?
- BoTree Technologies. (2021). Why Use Python for AI and Machine Learning?
- Tipper, A. (2024). 10 Companies Using Python In 2024 & Why It's Their Go-To.