Everything you need to know about working with PythonForge.
What Python frameworks do you use for web development?
We specialise in Django and FastAPI for modern web application development. Django is our go-to for monolithic applications that require a robust admin interface, ORM, authentication, and content management out of the box. FastAPI is preferred for high-performance RESTful and async microservices where speed and automatic OpenAPI documentation are critical. We also work with Flask for lightweight projects and integrate with frontend frameworks like Vue.js, React, or HTMX depending on project requirements. Every framework choice is driven by your specific performance, scalability, and maintainability needs.
Do you build data pipelines and ETL processes?
Yes, data engineering is one of our core competencies. We design and implement robust ETL (Extract, Transform, Load) pipelines using Python libraries such as Pandas, Apache Airflow, Prefect, PySpark, and SQLAlchemy. Whether you need to move data from legacy databases to a modern data warehouse, aggregate API data for business intelligence dashboards, or process streaming data in real time, we build scalable, monitored, and fault-tolerant pipelines. We also set up data validation, schema management, and automated alerting to ensure data quality throughout the entire flow.
Can you build Python automations for my business processes?
Absolutely. We develop custom automation scripts and scheduled tasks that eliminate repetitive manual work. Common automation projects we deliver include invoice generation and email delivery, report compilation from multiple data sources, CRM data synchronisation, file processing and format conversion (CSV, Excel, PDF, JSON), social media posting schedulers, and database backup routines. We use Celery, RQ, cron scheduling, or cloud-native solutions like AWS Lambda and Google Cloud Functions to ensure reliable execution. Every automation includes logging, error handling, and notification mechanisms.
How do you handle web scraping and data extraction projects?
We build production-grade web scrapers that respect robots.txt, implement polite rate limiting, and handle JavaScript-rendered content when necessary. Our toolkit includes Scrapy for large-scale crawling, Playwright and Selenium for dynamic pages, BeautifulSoup and lxml for parsing, and rotating proxy strategies to avoid IP blocks. We deliver clean structured data in your preferred format (JSON, CSV, database insert) and set up monitoring so you are alerted if a target site changes its layout. We also handle CAPTCHA solving integrations and session management for authenticated scraping.
What does a typical project timeline look like?
Timelines vary by project scope. A basic Django or FastAPI MVP with authentication, CRUD operations, and a simple frontend typically takes 4 to 6 weeks. A full-featured web application with payment integration, third-party API connections, and admin dashboards usually requires 8 to 12 weeks. Data pipeline and automation projects range from 2 to 6 weeks depending on the number of data sources and transformation complexity. Enterprise custom platform builds start at 12 weeks and scale with requirements. We provide a detailed project roadmap with milestones during the discovery phase.
Do you offer post-launch support and maintenance?
Yes, we offer ongoing maintenance and support retainer packages for all projects we deliver. Our support covers bug fixes, dependency updates, server monitoring, performance optimisation, and feature enhancements. We provide a 30-day warranty period after launch during which critical issues are resolved at no additional cost. For long-term partnerships, we set up CI/CD pipelines, automated testing, and deployment workflows to ensure your application stays stable and up to date. We also offer emergency support SLAs for production-critical systems.
How do you ensure code quality and security?
Code quality and security are built into every stage of our development process. We enforce type hints and static analysis with mypy and pylint, maintain comprehensive test coverage with pytest (unit, integration, and end-to-end), and use pre-commit hooks for code formatting and linting. For security, we follow OWASP guidelines, implement proper authentication and authorisation (JWT, OAuth2, session-based), sanitise inputs to prevent injection attacks, and conduct dependency vulnerability scanning with tools like Safety and Dependabot. All communication is encrypted via HTTPS, and sensitive data is handled according to data protection regulations.
Can you integrate third-party APIs and services?
Yes, API integration is a routine part of our work. We have experience integrating payment gateways (Stripe, PayPal, Square), communication platforms (Twilio, SendGrid, Slack), CRM systems (HubSpot, Salesforce), analytics tools (Google Analytics, Mixpanel), cloud services (AWS S3, Google Cloud Storage, Azure Blob), and social media APIs. We design a thin abstraction layer around each integration so that swapping providers in the future does not require rewriting your core application logic. Every integration includes proper error handling, retry logic, and logging.
What is your pricing model and how do I get started?
We operate on a project-based pricing model with three primary tiers: Starter packages from $3,000 for MVP web applications or automation scripts, Growth packages from $7,000 for full-stack applications with data integration, and Enterprise solutions from $15,000 for custom platforms with advanced architecture. Every project begins with a free discovery call where we discuss your requirements, define technical scope, and provide a fixed-price quotation. Payment is structured in milestones tied to deliverables. To get started, simply reach out via our contact form or email us at 1580509+python-development@gmail.com.
Do you work with startups and early-stage companies?
Absolutely. We have extensive experience working with startups and early-stage companies, helping them go from concept to launch quickly and cost-effectively. We understand the importance of rapid iteration, lean budgets, and building scalable foundations that grow with your user base. We offer starter-friendly packages, flexible milestone-based payments, and can work within tight timelines. Our team also provides technical advisory services, helping you make informed decisions about architecture, technology stack, and infrastructure. Many of our long-term clients started as early-stage startups we helped bring to market.