Work with Python experts trusted by the world's top tech teams.

Both — Django for full-featured web apps with admin, auth, and ORM; FastAPI for high-performance, async APIs with automatic OpenAPI docs; Flask for lightweight microservices.

We apply a rigorous multi-stage vetting process that evaluates Python internals, async/await patterns, type hints, packaging (Poetry, pip), data processing (Pandas, Polars), and real-world problem-solving. Less than 1% of applicants make it through.

We can have a fully vetted Python engineer ready to start within two weeks of your request, and full teams typically onboard within a month.

Pandas/Polars for data manipulation (up to memory limits), Dask for distributed DataFrames, PySpark for petabyte-scale processing, and Ray for parallel computation. We choose based on your data volume and latency requirements.

Yes — from classical ML (scikit-learn, XGBoost, LightGBM) to deep learning (TensorFlow, PyTorch, Keras). We also handle model deployment, monitoring, and retraining pipelines.

Profiling with cProfile/py-spy, async I/O (FastAPI, aiohttp), using NumPy/Pandas vectorization, C extensions via Cython/PyPy, Numba for JIT compilation, and proper data structures (deque, defaultdict).

Yes — we write typed Python with mypy for static type checking. We use Pydantic for runtime validation and dataclasses/attrs for structured data.

We use Poetry for dependency management and packaging, pip-tools for lock files, or pip with requirements.txt. We prefer pyproject.toml over setup.py.

We document thoroughly with docstrings (Google/NumPy style), follow PEP 8 (Black formatter), use type hints, write comprehensive tests (pytest), and conduct knowledge-transfer sessions.

pytest for unit and integration tests, pytest-asyncio for async code, Factory Boy for test data, freezegun for time mocking, and Locust/k6 for load testing.

We have deep experience in finance, healthcare, and data privacy. Our engineers implement encryption (cryptography), secure authentication (JWT, OAuth), audit logging, and comply with HIPAA, SOC 2, and GDPR.

Yes. We can provide dedicated QA engineers who specialize in Python testing — pytest, unittest, tox, pytest-cov for coverage, and Locust for load testing.