Python and Django
We chose Python and its framework Django as our core web development technology as it offers numerous advantages to our clients in the long-term: It quickly takes projects from discovery to launch, encourages scalability, and is exceedingly versatile.
Python's ecosystem of statistical analysis libraries and machine learning tools also makes it an ideal programming language for the intersection of web software and data science.
>>> Why Python?
World Class Development Frameworks
We build software using the same tools that carried cloud platform powerhouses like Instagram and Pinterest from concept to ubiquity.
DevOps and Data Engineering
Python enjoys first class support for scripting Big Data services and appliances like Amazon Web Services's serverless architectures and Apache Spark for large scale data processing.
Analytics and Data Science
Open source tools like TensorFlow, spaCy, and PyTorch lead the field in Deep Learning, Natural Language Processing, and Machine Learning applications--all natively supporting Python.
A web development framework born in the newspaper industry, Django is billed as the web framework "for perfectionists with deadlines". That sounds a lot like Lofty Labs.
Django supports continued language improvement, and is a cost-effective solution that gets products to market faster. It's no surprise that Python and Django are a popular choice for top-tier companies.
There are few tools better suited for the development of robust REST APIs than Django Rest Framework. All the power and scalability of Django behind a REST compliant API can build the next Instagram.
We know, because it built the first one.