Python development

Python developmentfor web back ends, APIs, automation and data work

You have a job for Python, or a script that has quietly become critical to the business. Python's strength is its range: a web API, a nightly data job and a script that connects two systems can all share a language and people. We write it for those jobs, with typed code, pinned dependencies and tests, so it stays maintainable after the first version works.

Discuss your Python workSee Django development

What Python work covers

Four kinds of job, and each one calls for a different structure.

  • Web back ends and APIs

    Django where you want an admin and an ORM included. FastAPI where you need a small typed API and already have the rest of your system.

  • Automation and integrations

    Scheduled jobs that move data between your systems, with logging, retries and alerts so a failure gets noticed the same day.

  • Data pipelines

    Extracting, cleaning and loading data for reporting. We start with SQL and Pandas, and only reach for heavier tools once data volumes demand them.

  • Rescuing a working script

    Turning a script that only runs on one person's laptop into a versioned, tested, deployable service.

Python versions, as of October 2026

From the Python Developer's Guide. Each release gets about five years, so end dates arrive every October.

  • New work: 3.14 or 3.15

    Python 3.15 came out on 9 October 2026 and 3.14 in October 2025. We default to 3.14 until the libraries you need have settled on 3.15.

  • Security fixes only: 3.11 to 3.13

    These receive security fixes only, with end of life scheduled for October 2027, 2028 and 2029 in turn. Version 3.10 no longer appears on the supported list.

  • Free-threading is now official

    Python 3.14 officially supports the build without the global interpreter lock, at a cost of roughly 5 to 10% on single-threaded code. It is optional, and C extensions need checking.

When Python is the right choice

A sensible default for some jobs, but not for all of them.

  • A strong fit

    Work that touches data or automation, where Python's libraries save real time, or products where the same people will write the API and the analysis.

  • Less suited to CPU-heavy web requests

    Standard Python runs one thread of Python code at a time. Heavy processing belongs in a background worker or native library, not in the request.

  • If your system already runs on something else

    A small addition to a Laravel or Node.js application is often better written in that language, so you don't add a second runtime to deploy and monitor.

  • Upgrades are mostly about dependencies

    Moving Python versions is rarely hard in your own code. The trouble is usually an old compiled library with no build for the new version, so we check those first.

How a Python project runs

Getting the environment reproducible comes first, as most Python failures in production start there.

  1. Pin the environment

    A lockfile and container image make sure that your server, CI and our laptops all run the same versions.

  2. Define inputs and failures

    For each job, we agree what happens with bad data, a failed connection or a run that overlaps with the last one.

  3. Add types and tests as we go

    Type hints checked in CI and tests around the business rules catch errors that Python itself only finds at runtime.

  4. Deploy with logs and alerts

    Scheduled jobs that fail silently cause the most harm, so monitoring is part of the first release and not a later extra.

Ways to work with us on Python

A single automation is a small fixed job. A platform isn't.

A defined integration or data job can be quoted as a fixed scope. A longer back-end build fits our dedicated developer model better. For anything else, Python time is billed from $20/h in USD, invoiced in USD, GBP, EUR or INR.

We are an engineering team in India with 3–5 hours of overlap with the UK and Europe; US calls by appointment. A failed overnight job can be picked up at the start of our day, ahead of your working day in Europe or the US. If the job is a database problem more than a code problem, see PostgreSQL.

Why this page shows no Python projects

Most of our work is delivered under NDA, so many projects cannot be named.

None of our published case studies is a Python project, so we don't link any here and won't suggest otherwise. What you can ask for is a technical conversation with the developers who would do your work.

Questions about Python

Asked by buyers deciding on a stack or a framework.

Django or FastAPI?
Django if you need an admin, authentication and an ORM included, and want one conventional way of doing things. FastAPI if you are building a focused API and are happy to choose those parts yourself.
Our app is on an old Python version. How risky is that?
Versions outside the supported list get no security fixes from the Python project. We check your dependencies against a supported version on a copy, then plan the move, which is often a modest job.
Do you do AI and machine learning in Python?
We can connect applications to AI services and build the pipelines around them in Python. Training your own models is specialist work, and we would tell you up front if that is what your project really needs.
Should we switch on free-threaded Python?
Not by default. It suits CPU-bound work using threads. It costs some single-threaded speed, and depends on your native libraries supporting it. Most web applications have no need of it yet.

Describe the job Python has to do

What goes in, what comes out and how often. That is enough for us to suggest a structure and tell you what we would need to price it.

Start a Python conversationSee Django development

We reply within one business day (IST).