Professional Python Development
A professional team of Python developers with expertise in Django, FastAPI, Flask and asyncio for over 10 years.
Use agile methodology and harmoniously integrate into your business processes.
Write clean and testable code, we adhere to PEP 8, SOLID, DRY, type hints and other best practices 😎
We believe that quality projects are born from quality communication. We consciously approach each task, identify the true need, and offer a rational solution.
We have extensive experience in full-cycle web development (ux, ui, frontend, backend). Besides Python, we are proficient in Django, FastAPI, Flask, Celery, PostgreSQL, Redis, Docker, CI/CD, pytest, asyncio...
We respond to requests at the speed of a diving hawk.
We identify the genuine needs, comprehend the essence of the task, ask the right questions, and generate internal technical specification for our developers.
Much like an autonomous nuclear submarine, we operate independently and efficiently.
We prioritize maximum return and efficiency, employing top-tier methodologies in the design and development of our projects, including SCRUM, Agile, and Kanban.
We believe that great work comes from good processes. Thanks to this, we were able to achieve a balance between price and quality. Before proceeding with the implementation, we dive into the issue as deeply as possible. We define the problem, the goal, conduct research and offer a solution. Once we have a clear idea of the problem, we start an iterative development process.
Thanks to modern techniques and design process, we take an idea, prototype it and test it in a real environment to find the best solution.
We do not design just for the sake of design, nor do we adopt new technologies simply for the sake of novelty.
Our focus is on your business's best interests, and we offer solutions that are effective, grounded in a sober assessment of possibilities.
With a research first-approach, we create solutions based on real data.
You will not hear the arguments «we are designers – this is how we see it» from us.
Our cooperation will not end with the delivery of the project. We will instruct how to use the created product, we will analyze its results and advise you.
Many of our clients have maintained a collaboration with us for over 3 years, drawn by the value we consistently contribute to their business.
The cost directly depends on the time our team members need to develop. Write to us , and we will promptly prepare an estimate for your project or find out our rates (hourly cost).
The cost of a full-fledged project on Python starts at $5000.
For many Python projects, we collaborate on an hourly basis.
The development time is affected by the scope, technical complexity, and communication speed. On average, for a Python project we need from 45 working days (from 2 months).
Small services and APIs can be delivered within 2-4 weeks, while complex web applications with integrations require 3 months or more.
Introduction → Planning → Research → Architecture → UI design → Front-end development → Python back-end development → Testing → Deployment → Ongoing collaboration.
Outsourcing:Introduction → Planning → Development → Testing and Code Review → Deploy
We love working on projects that are focused on solving user problems and achieving business goals. We believe that quality projects are born from quality communication, so effective communication is important to us.
We like to face challenges, we love to look for problems on our ass and solve them so that we have something to tell posterity 😅.
We use modern technologies and adhere to coding standards. PEP 8, SOLID, DRY, type hints, asyncio and other buzzwords - it's all about us 😎.
Django and FastAPI are perfect for building complex web applications, admin panels, and dashboards. Python enables rapid development with a reliable architecture that scales and is easy to maintain.
RESTful APIs, GraphQL, microservice architecture — Python with FastAPI and Django REST Framework enables building fast and reliable interfaces for communication between services and client applications.
ETL pipelines, analytics, large-scale data processing — Python with pandas, NumPy, and Apache Airflow is the industry standard for building data processing and analysis systems.
Business process automation, scripts, bots, integrations with external services — Python allows you to quickly build solutions that save your team's time and resources.
Machine learning services, recommendation systems, NLP, computer vision — Python is the primary language for developing intelligent systems thanks to TensorFlow, PyTorch, scikit-learn, and other libraries.
SaaS (software as a service) — cloud platforms and subscription services. Python with Django is ideal for building multi-tenant SaaS products with flexible pricing models.
MVP (minimum viable product) — Python allows rapid prototyping and fast time-to-market. High development speed and a rich library ecosystem significantly reduce the time from idea to launch.