Python Development

Web applications and automation built with Python.

Python Django Flask REST API Automation
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About the Service

How we can help you.

Python is perfect for web applications, APIs, and automation. We build with Django and Flask for robust web solutions, and Python is also the foundation for our AI integrations.

Python developer for web applications and automation

Python is a natural choice when the engagement is about automation, data integration or web applications where Django or Flask fits better than PHP. Pihlfelt builds Python solutions for clients in Kalmar, Småland and the rest of Sweden — and international projects.

Common engagements

  • Web applications in Django or Flask with admin panel and API.
  • Automation that replaces manual routines.
  • Integrations between business systems, CRM and external services.
  • Scheduled background jobs and pipelines.
  • Data processing and reports against databases or APIs.

Python as a foundation for AI integrations

Pihlfelt often combines a Python backend with AI services (OpenAI, Claude) for automated workflows — see also AI integrations.

What We Offer

Web applications with Django and Flask
REST API development
Admin panels and dashboards
Automation and scripts
Integration with external services
Scheduled jobs and processes

Other Services

WordPress Development WooCommerce Development Laravel Development AI Integrations REST API Development

Questions & answers

Frequently Asked Questions

Python is particularly strong for:

  • Data-intensive applications and analysis
  • Automation of repetitive tasks
  • Integration with modern AI services
  • Scientific calculations
  • Scripts for data processing

For traditional websites and e-commerce, PHP/WordPress is often a better choice.

Yes! Python is perfect for automating repetitive tasks such as:

  • Data processing and report generation
  • File handling and conversion
  • Scheduled tasks and monitoring
  • Integration between systems lacking APIs

Automation saves time and reduces the risk of manual errors.

Absolutely! Python can communicate with most systems via:

  • REST APIs
  • Database connections (MySQL, PostgreSQL, etc.)
  • File-based integration (CSV, Excel, JSON)
  • Webhooks and messages

We build bridges between systems that otherwise don't talk to each other.

Django is a complete framework for building larger web applications with built-in admin, authentication and ORM.

Flask is a lightweight framework suitable for smaller projects, APIs and microservices.

We choose framework based on the project's needs.

Yes, we build solutions to collect, analyze and visualize data:

  • Dashboards with key metrics
  • Automated reports
  • Data visualization
  • Export to various formats

Python with libraries like Pandas and Matplotlib is excellent for this.

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