Python Development
- Django, FastAPI and Flask web and API development
- Business process automation and scheduled jobs
- Data pipelines with pandas, Polars and Airflow
- Ready to plug into AI/ML models and LLM APIs
Why Python Development with VN Softverg
Python is the most versatile language in modern software. It powers web platforms, high-performance APIs, data pipelines, automation scripts and nearly every AI and machine learning workflow. That versatility makes it a natural fit when one product needs to do several of those things at once.
We build web applications and admin-heavy platforms with Django, fast async APIs with FastAPI and Pydantic, and lightweight services with Flask. Behind them, we handle background processing with Celery and Redis, data work with pandas and Polars, and orchestration with Airflow or Prefect.
Automation is often the quickest win. We turn repetitive manual tasks such as report generation, file processing, data reconciliation, web data collection and system-to-system transfers into reliable, scheduled Python jobs with logging and alerting, freeing your team for higher-value work.
Everything you need, under one roof
Django Web Applications
Secure, feature-rich web platforms with Django and Django REST Framework, including built-in admin, authentication and ORM-driven data models.
- Django application codebase
- Customized admin console
- Database models and migrations
FastAPI & High-Performance APIs
Async, type-safe APIs with FastAPI and Pydantic v2, auto-generated OpenAPI docs and deployment on Uvicorn or Gunicorn.
- FastAPI service codebase
- Interactive OpenAPI documentation
- Load test results
Business Process Automation
Scripts and scheduled jobs that automate reporting, Excel and PDF processing, email workflows, file transfers and data reconciliation.
- Automation scripts with configuration
- Scheduling setup (cron, Celery Beat or Airflow)
- Run logs and failure alerts
Data Engineering & ETL
Extract, transform and load pipelines using pandas, Polars, SQLAlchemy and Airflow or Prefect, feeding warehouses and dashboards.
- ETL pipeline code
- Workflow orchestration DAGs
- Data quality checks
Background Jobs & Async Processing
Task queues with Celery, RQ or Dramatiq backed by Redis or RabbitMQ for emails, reports, imports and long-running jobs.
- Task queue configuration
- Worker and retry policies
- Queue monitoring with Flower
AI & ML Integration
Serving scikit-learn, PyTorch or LLM-based features through Python APIs, including integrations with OpenAI, Azure OpenAI and Amazon Bedrock.
- Model-serving API
- Prompt and integration layer
- Usage and cost monitoring
Measurable from day one
Automated tests on core business logic and APIs.
Typed codebases checked with mypy or Pyright in CI.
Typical time to automate a first well-defined manual workflow.
Automated jobs report success, failure and duration.
A clear path from kickoff to results
Discovery
Understand the workflow, data sources and goals, and identify automation or build opportunities.
Design
Choose the framework, data model, integrations and deployment approach.
Build & Test
Develop in sprints with pytest suites, linting with Ruff and type checks.
Deploy
Containerize and deploy to AWS, Azure or your servers with CI/CD and monitoring.
Support & Extend
Monitor runs, fix issues and extend automation to new workflows.
The right stack for the job
- Faster development thanks to Python's productivity and rich libraries
- Hours of manual work automated into reliable scheduled jobs
- One language across web, data and AI workloads
- Clean, typed, tested code that's easy to maintain
- Easy integration with spreadsheets, databases and SaaS APIs
Built for teams like yours
Admin-heavy platforms
Django-based portals and back-office systems with complex data models.
High-performance APIs
FastAPI services for mobile apps, partners or microservice backends.
Reporting automation
Scheduled generation and distribution of Excel, PDF and email reports.
Data pipelines
Moving and transforming data between operational systems and analytics warehouses.
AI-powered features
Adding classification, extraction or LLM-based assistants to existing products.
Django is ideal for full web applications with admin panels, authentication and complex data models. FastAPI is better for high-performance, API-first services. Many projects use both.
Related services
Data Engineering & Analytics
Data pipelines, warehouses and lakehouses on Snowflake, Databricks, BigQuery and Fabric, built for reliable analytics, reporting and AI.
Learn moreAI & Machine Learning Solutions
Predictive models, computer vision, NLP and MLOps, from use-case discovery to production deployment and monitoring.
Learn moreAPI Development & System Integration
REST, GraphQL and event-driven API development plus ERP, CRM, payment and third-party integrations that eliminate manual data entry and silos.
Learn moreReady to start with Python Development?
Tell us about your project, team gap or IT challenge. A senior consultant replies within one business day with next steps — no obligation.