When to choose Python?
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Processing data
Cleaning, combining and analysing files or databases, producing automatic reports.
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Integrating AI
Document classification, information extraction, assistants connected to your data.
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Automating
Scheduled scripts: imports, exports, checks, sending.
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A web application
Django for a complete back office, FastAPI for a fast API.
When it isn't the best choice
For a highly interactive web interface, Python alone is not enough: we pair it with React or Vue.js. And for a simple showcase website, it is not the right tool.
What we build with Python
Report automation
Data collected, formatted and sent every week.
Document extraction
Reading invoices, purchase orders or forms, automatic data entry.
Data API
A FastAPI service feeding your applications or partners.
Django back office
Data management with a ready-to-use admin interface.
Takeover, migration and maintenance
Python scripts written for Python 2, which has not been maintained since 2020, still run in many companies. We migrate them to Python 3, document them, add error handling and logs, and move them to reliable hosting rather than an employee's computer.
Related services and budget
Indicative budget
Python script or automation from €690. AI integration from €990. Django or FastAPI web application from €3,500.
Frequently asked questions: Python
Yes. Django and FastAPI run many applications and APIs in production. For the interface, we pair them with React, Vue.js or classic pages.
Yes, it is fragile (absence, breakdown, updates). We move them to a server, with scheduled runs, logs and alerts.
Yes, with tests to check that results stay identical.
Not necessarily: many integrations can also be done in Node.js, PHP or with n8n. Python is mostly needed for more advanced data processing.