Hire Python developers to turn scripts and ideas into production software

We usually introduce a senior Python developer within 48 hours of our first call. Before that, we ask about your project, your current code and the skills you need, such as Django, FastAPI, data engineering or AI. If you like the developer, they can start the same week. The first two weeks are a risk-free trial, and most clients see working code or a fixed script within the first one to two weeks.

Cost depends on scope and team size. The main factors are how many features or pipelines you need, how many systems we connect to, data volume, AI usage, security or compliance requirements and your deadline. Rescuing existing code adds an audit up front. Rather than quoting generic rates, we learn about your project on a free consultation and then send a free, fixed quote with a clear timeline, so you know exactly what you are getting.

If you are building a full product with users, permissions, lots of database screens and a need for an internal admin panel, Django usually gets you there fastest. If you mainly need an API for a separate front end or mobile app, high concurrency or AI model calls, FastAPI is often the better fit. Many products use both. We look at your plans and team and recommend one with clear reasons, not personal preference.

Yes, and it is one of the most common requests we get. We take scripts or Jupyter notebooks that work but are fragile, then add proper structure, configuration, logging, tests and error alerts. We move secrets out of the code, schedule the jobs in the cloud and make them safe to rerun. The logic you trust stays the same, but it stops depending on one person or one laptop.

Yes. We build AI features such as chat assistants, search over your documents, summaries, classification and data extraction from emails or PDFs. We use hosted models from OpenAI or Anthropic, or open-source models when privacy or cost calls for it. Just as important, we add evaluation tests, guardrails, timeouts and usage tracking so the feature is reliable and its running costs stay under control.

We build scrapers for collecting public data such as prices, listings or public records. Whether a specific scraping project is allowed depends on the site's terms, the type of data and your local laws, so we review that with you before starting and avoid personal data unless you have a clear legal basis. We respect robots.txt, throttle requests and prefer official APIs whenever a site offers one.

Yes. We first add tests around the most important flows, then upgrade step by step through supported Django releases, fixing deprecations at each stage instead of jumping several versions at once. We replace abandoned packages along the way and run the full test suite on staging before going live. You end up on supported versions that receive security fixes, with far less risk than a big-bang rewrite.

For most web apps, yes. Large, high-traffic platforms run on Django and other Python frameworks. Speed problems almost always come from database queries, missing caching or slow work done inside a request, all of which we fix. For CPU-heavy tasks we use background workers, optimised libraries such as NumPy or Polars, or a small service in another language if it is truly needed.

Yes, completely. We work in your Git repository and cloud accounts from the first day, so there is nothing to transfer at the end. You own all code and intellectual property, and we are happy to sign an NDA before you share anything sensitive. We also write documentation as we go, so your own developers or a future team can take over smoothly.