When would you choose Python over Node.js?

Python excels for data science, machine learning, scientific computing, and when leveraging its vast ecosystem of specialized libraries.

What Python web frameworks do you use?

Django for full-featured applications, FastAPI for modern async APIs, and Flask for lightweight services.

Yes, for most use cases. For performance-critical parts, we use async programming, Cython, or offload to compiled languages.

Absolutely. Python APIs work with any frontend framework via REST or GraphQL endpoints.

We use virtual environments, requirements files, and tools like Poetry or pip-tools for reproducible builds.

Yes, FastAPI and Flask are excellent choices for building lightweight, containerized microservices.

Versatile programming language for web development, automation, data science, and AI.

Backend Development

Expertise:5+ Years

Projects:80+

Client: Analytics Company

Processing large datasets with complex transformations and machine learning integration.

Built Python-based ETL pipeline using Pandas, integrated ML models with scikit-learn, and deployed on AWS Lambda.

+300%

Processing Speed

99.9%

Data Accuracy

-80%

Manual Work Reduced

Let our team of experts help you leverage Python to build robust, scalable solutions for your business.