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In the vast and dynamic realm of programming languages, Python stands tall as a versatile, powerful, and beginner-friendly language. With a syntax that emphasizes readability and a vast ecosystem of libraries and frameworks, Python has become the go-to language for developers, data scientists, and tech enthusiasts alike. Since its surge in the 2010’s popularity Python programming has captured the hearts of millions and in 2024 its seen to be the most trending and in-demand language in the world of computing.

1. Early Application

During its inception back in 1989, Dutch Programmer Guido Van Rossum conceived a language that would be easy to read, write and maintain. Since then, this simplicity has been the cornerstone of Python’s efficiency. Code that reads like plain English and that can compute complicated tasks with only a few lines has enabled non-programmers working in a wide range of fields such as Classical Science and Economics to access the language to automate their tasks. In Universities and for beginners in general, Python Programming is the ultimate gateway language into coding because this simplicity allows the learner to focus on computational thinking without getting bogged down by any laborious syntax.

2. Python in Production

Since then, Python has flourished in the digital ecosystem and most daily interactions you have with software will be defined by Python. The base language can provide excellent capabilities but Python’s main strength in recent times is its extensive range of libraries, community community-developed “Add-ons” that enhance Python’s functionality and applicability. Such a library that currently exists is ‘Django’ a web development library that handles interface design and database management. This library is used foundationally in Instagram’s current codebase. Other libraries include ‘Pandas’ and ‘Seaborn’ which are used by Data Analysts to query enormous datasets and create detailed infographics to aid business decisions.

3. Advent of AI

So far in the 21st century, Python has certainly earnt its worthiness. But it’s true crucible came in late 2023 when during the cold months of winter, the titanic machines known as Large Language Models (LLM’s) were born into commerce. By the new year, applications like ChatGPT, Bing Chat and DALL-E exploded onto the scene and nearly every field of work were taking advantage of these mind-blowing tools. This was a huge advancement in what is known as ‘Generative AI’, but how were these powerful LLM’s built?
Well, it turns out these prophetic models were an accumulation of 10 – 20 years of Machine Learning and Data Science research. This research was conducted with Python which was not only able to perform huge computations in a matter of seconds which used to take statisticians days to do by hand. But it also led to the development of brilliant third-party libraries such as ‘Scikit-Learn’, ‘TensorFlow’ and ‘PyTorch’ which provided advanced Machine Learning functionality in just a few lines of code.

In 2024, Python remains unrivaled as the pinnacle of programming languages, sustained by its foundational simplicity and adaptability. Guido Van Rossum’s vision for a language that is easy to read and write has blossomed into a global phenomenon. Python’s versatility is evident in applications like Instagram, driven by libraries such as Django, and in the realm of artificial intelligence, where it plays a pivotal role in the creation of Large Language Models (LLMs) like ChatGPT and DALL-E. Its rich ecosystem, encompassing libraries like Pandas and Seaborn, continues to empower developers across diverse domains. Python stands resilient at the forefront of technological innovation, seamlessly integrating into web development, data science, and AI, solidifying its status as the language of choice in the dynamic landscape of 2024 and beyond.

James Lunt

MS in Computer Science from Trinity College

Lecturer in Python Programming and Applied Machine Learning at City Education Group

For more information about City College’s Python Programming Diploma click here