Python® Development

Python code your team
can keep changing

We build Python back ends, AI services and background jobs, with tests and type checks from the start, so each change is checked before it ships.

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You’re in good company

A few of the companies we’ve worked with.

When the first version becomes the product

The Python language makes a first version quick to write: a script, a notebook, a small service. Trouble starts when that first version becomes the product. Its packages, the ready-made code it builds on, drift to different versions between laptops and servers; nothing says what kind of data each function expects; and a change in one place breaks another that nobody tested. Each of these is quick to fix early and slow to fix late.

What we build

Code the next developer can read, with tests and type hints from the first release.

  • APIs and back-end services

    The part of your software that runs on servers, and the API your apps reach it through: what they can ask for, and what comes back.

  • AI services

    Python services that connect an assistant, agent or feature to your systems and data, with security and permissions designed in.

  • Background jobs

    Work that runs apart from the screen someone is using, such as importing a file or sending a batch of emails, so nobody waits on it.

  • Data pipelines

    Data from your business systems, databases, files and APIs, brought into one place on a schedule and checked along the way.

  • Connections to other systems

    Python code that talks to your CRM, ERP, payments and other tools through their APIs, and copes when one of them is slow to answer.

  • Version upgrades

    Older code, Python 2 included, brought onto a version that still gets security fixes, one change at a time and tested at every step.

  • Speed where it counts

    The slow parts found by measuring first, then made faster where it matters, sometimes by moving heavy work into a background job.

  • Tests and type checks

    Automated tests, and a type checker that reads the code for the wrong kind of data, on every change before it ships.

  • Security in the code

    Input checked before it’s used, secrets kept out of the code and packages watched for known vulnerabilities, in every change.

Mistakes caught before release

The Python language doesn’t ask you to say what kind of data each function takes and returns: it leaves that optional. As the code grows, we add type hints: short notes in the code on what each function expects.

A type checker reads them before each release and flags mistakes, such as text passed where a number belongs. The Python runtime doesn’t check them when the code runs, and the checker leaves code without them alone, so they can be added one file at a time.

Choose it in the code.

def line_total( price: float, count: int, ) -> float: return price * count # in the import job line_total( , count, )

price holds a number, price_text the same price as text, read from a file, and None nothing at all.

Before release: the type checker

No problems found. The call passes a number, which is what line_total expects.

Flagged. line_total expects a number for price, but this call passes text. The release waits until it’s fixed.

Flagged. line_total expects a number for price, but this call passes None. The release waits until it’s fixed.

Once live, without the check

The total is worked out as expected.

Multiplying text by a whole number repeats it, so line_total returns the price text repeated instead of a total, and no error is raised.

None can’t be multiplied, so an error is raised and the job stops at this row.

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Kept on a version that still gets fixes

A new Python version comes out every year. Each one gets bug fixes, then security fixes only, for a planned time before it reaches its end of life.

We keep your code on a version that still gets them, pin each package to a known version so every install matches, and try every upgrade on a preview copy first.

Start with a review of your Python code

The review covers its Python version and packages, its tests and type checks, how it’s deployed, its logs and alerts, and how releases go. You get a written review under three headings, Keep, Fix and Rebuild, and a proposal for the first step.

Nothing written yet? We start with the one service your first release can’t do without.

Questions worth asking

  1. Is the Python language right for us?

    It suits back ends, AI services, data work and automation, and teams that already use it. Where another language fits the work better, we’ll say so.

  2. Can you turn our data team’s notebooks into a service?

    Yes. If a model works in a notebook but not in production, we can review it, make it ready to run and look after it from there.

    Data Platforms & MLOps

  3. Which Python version should we be on?

    One that still gets security fixes. Each version’s end of life is planned when it’s released, so we check the Python Developer’s Guide’s status page before choosing, and plan the next upgrade before support runs out.

  4. Can you take over our existing code?

    Yes. We read it first, pin its packages so it installs the same way everywhere, and put tests around the parts that change most, before we change anything ourselves.

  5. Can it connect to our other systems?

    Yes. We connect it to the systems your business already runs, from CRM and ERP to finance, and agree which one is in charge of each detail.

    Systems & API Integration

  6. Can you build the front end too?

    Yes. Our React and Next.js work covers the screens people use, built against the same API as the Python services behind them, so both sides change together.

    React & Next.js Development

  7. Who hosts it?

    Hosting and the platform beneath your software are a service of their own.

    Cloud, DevOps & Security

  8. Who looks after it once it’s live?

    Our support team can: version and package updates, security fixes and monitoring on a regular rhythm, with agreed response times.

    Support & Maintenance

  9. How do you keep it secure?

    Security is part of the work from the start: threat modeling, code review and checks in every build, so problems are found early and fixed by the team that writes the code. The packages it builds on are pinned and checked for known vulnerabilities.

    Application Security

  10. What does it cost?

    It depends on the work: how much of it exists already, and what it has to connect to. You get a written proposal before any work starts: the scope, the price or rate, and how you pay.

    Pricing

  11. Can a Python developer join our own team?

    Yes. We introduce developers matched to your work, in your time zone, and you choose who joins.

    Hire Python Developers

  12. Can you add AI features to it?

    Yes. We build the assistant, agent or feature and connect it to your systems, with security and permissions designed in, then track how it’s used and what it changes.

    AI Services

Python is a registered trademark of the Python Software Foundation. Webair isn’t affiliated with or endorsed by the Python Software Foundation. Vercel, the Vercel design, Next.js and related marks, designs and logos are trademarks or registered trademarks of Vercel, Inc. or its affiliates in the US and other countries.

Let’s build it better

Tell us what your Python code does today and where changing it gets hard. We’ll suggest where to begin.

Thanks, we’ll be in touch soon.

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