Python

Three strengths

• Easy to read. Python's own guiding principles put it plainly: "Readability counts." 3
• Tools built in. Its standard library already covers things like internet protocols, text processing and testing. 2
• Widely used. 57.9% of developers surveyed in 2025 said they use it. 4

What it is

Most programming languages ask a lot of the person reading the code, not just the person writing it. Python was designed to ask less. It's a general-purpose language, which means it isn't built for one narrow job, and it's "interpreted, object-oriented, high-level" with a syntax that "emphasizes readability and therefore reduces the cost of program maintenance". 1 In plain terms, interpreted means the code runs as written without a separate packaging step first, and high-level means the code reads closer to everyday language than to the computer's inner workings.

Guido van Rossum started it over the 1989 Christmas holidays, when he had time on his hands, and posted it publicly in February 1991 after just over a year of development. 2 He named it after the BBC comedy series Monty Python's Flying Circus, which he was reading scripts from at the time, wanting a name that was short, unique and slightly mysterious. 2

The readability is deliberate. In 2004 Tim Peters wrote down Python's guiding principles, now known as the Zen of Python, and they include "Readability counts" and "Simple is better than complex". 3 That matters for a business because the next developer to pick up your project can follow what's there, which reduces the cost of maintaining it. 1 The language also arrives with a lot built in. Its standard library, the set of ready-made tools that ships with it, covers areas such as internet protocols, text processing, testing and the operating system. 2

Python is developed under an open source licence approved by the Open Source Initiative, and the Python Software Foundation looks after the language and its community. 5 Its reach shows up in the numbers: 57.9% of developers surveyed in 2025 said they use it. 4

We choose it for those reasons: it's quick to write, easy for the next person to read, and well suited to joining one system to another.

How we use it

We mainly use Python for automations and integrations. That's the code that moves information between your tools, responds when something changes and takes repetitive manual steps off your team. We also use it for the behind-the-scenes logic of an app in the part that answers requests from a web or mobile front end. We also use it in our data platforms work. We haven't used Python for AI yet, but we expect to explore it soon.

In Integrations & Automations, it's what keeps your systems working as one, which is where the efficiency gains come from. In Software Development, it handles app logic, and in Data Solutions, it's part of the platforms we build on. We often pair it with serverless code, so a Python function runs only when a task needs it, and with Node.js and TypeScript elsewhere in the same project.

We use AI-assisted tools to draft and prototype code quickly. Once an idea is settled, we check it and polish it before we ship it to you.

References

1. Python Software Foundation, "What is Python? Executive Summary", python.org. https://www.python.org/doc/essays/blurb/ (accessed 28 October 2026)
2. Python Software Foundation, "General Python FAQ", Python 3 documentation. https://docs.python.org/3/faq/general.html (accessed 28 October 2026)
3. Tim Peters, "PEP 20 - The Zen of Python", Python Enhancement Proposals, 19 August 2004. https://peps.python.org/pep-0020/ (accessed 28 October 2026)
4. Stack Overflow, "2025 Developer Survey: Technology", survey.stackoverflow.co, 2025. https://survey.stackoverflow.co/2025/technology (accessed 28 October 2026)
5. Python Software Foundation, "About Python", python.org. https://www.python.org/about/ (accessed 28 October 2026)