Python
A versatile language with simple syntax and a rich ecosystem. Our main tool for backend, machine learning and automation.
PythonBackend · ML · automationOverview
Python is a high-level, general-purpose programming language created by Guido van Rossum in 1991. Its philosophy prioritizes code readability and simplicity: Python programs are easy to write, read and maintain.
Today Python is one of the most in-demand languages in the world and the de-facto standard in machine learning, data analysis and AI development. We use it for backend, AI agents, automation and integrations, picking the right framework per task.
Frameworks and libraries
Django
WebA full-featured “batteries included” web framework: ORM, admin panel and security out of the box.
FastAPI
APIA modern async framework for fast REST APIs with auto-docs and validation.
Flask
WebA minimalist micro-framework for small services and flexible solutions.
PyTorch
MLA deep learning library for research and production of neural networks.
Pandas
DataThe standard for analyzing and processing tabular data in Python.
Celery
TasksBackground task queues and distributed computing for high-load systems.
Pros & cons
Advantages
Limitations
Where we use it
Related articles
Materials related to Python, development and AI.
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