Python development
We build complex systems with Python: from web applications to artificial intelligence models.
Where and how we use Python
- To create websites, e-commerce stores, and web services. Python is one of the most popular languages for backend development. It handles server-side logic, database management, and APIs.
- In AI-development and machine learning Python dominates the artificial intelligence field thanks to its extensive libraries for AI and ML. We create smart chatbots, assistants, and analytics systems.
- In Computer Vision — image and video recognition. We use Python to create projects of varying complexity: from image processing software to biometric systems.
- For developing the server-side of mobile and desktop applications.
Python use cases
Systems with complex logic
Integrations with 1C, CRM, ERP
Startups and MVPs
AI-powered services
Microservices
Data scraping
Why we choose Python?
1
The best language for AI
80% of machine learning projects worldwide use Python.
2
Scalability
Handling increased load without rewriting the code.
3
Development speed
The language features a concise syntax, allowing for rapid coding and project launches in just a few weeks rather than months.
4
Cost efficiency
Thanks to ready-made library solutions and code simplicity, developers spend fewer hours on the project, resulting in lower costs for the client.
5
Portability
Write code once and run it on any operating system: Windows, macOS, or Linux.
6
Ease of integrations
Seamlessly integrates with 1C, CRM, ERP systems, payment gateways, social networks, and databases.
7
Research libraries
Specialized libraries allow for data visualization, complex research, and advanced scientific computing.
8
Flexibility
Easily add new features, modify, and adapt the development to meet evolving requirements.
9
Reliability
The technology is battle-tested in the world's most high-load systems, such as Google and Netflix.
10
Security
Provides built-in security mechanisms that operate automatically to protect your business.
Development stages
- 1
Analysis and planning.
We analyze client requirements and business processes. We then draft the technical specifications (TS) and plan the timeline and budget.
- 2
Prototyping and design.
We create interface prototypes, design the database architecture, and develop the system's technical design.
- 3
MVP development.
We build a minimum viable product with core features. We set up the environment and infrastructure and develop the essential modules.
- 4
Testing and refinement.
We verify the model's performance and usability across various devices, test the user interface, and check how the system handles high loads.
- 5
Launch and deployment.
We configure the system and launch the final product.
- 6
Support and evolution.
We perform ongoing monitoring, improve algorithms, and expand functionality based on the client's evolving needs.