Python
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Python
Neevi Systems delivers a wide range of custom Python solutions, spanning sophisticated web portals and next gen apps, whether they are critical to your business or are aimed at improving experience and presence.
Our Python engineers apply their extensive hands-on expertise and contemporary best practices to build enterprise-grade web applications, leveraging Flask, Python, Zope and Pyramid to solve whatever functionality challenges your business idea and requirements entail.
Here at Neevi Systems, we choose Python when it comes to developing large-scale backend systems for web applications whose server side logic is in dire need of faster performance, large amounts of addressable memory, and continuous or long-running background processes.
Our Expertise
Custom Development
We choose Python when it comes to building custom feature-rich web solutions, taking advantage of its mature libraries and using external packages for time-critical tasks where circumstances so require.
PROTOTYPING
We leverage the power of Python frameworks, including Django, Pyramid, Zope, Flask and many more, to draw on their immerse ready-made functionality for fast delivery of a functional and expandable prototype.
LEGACY RESCUE
Neevi Systems offers rescue services for projects where technical debt obstructs business flows, refactoring and redesigning Python-based solutions or transpiling code to languages that run natively at higher speeds.
Secure and scale your enterprise
Enhanced Security
We take security seriously, especially in high-risk environments where inputs are unpredictable and sensitive data is at stake. When crafting your application, we utilize OWASP Python Security empowered with our proprietary modifications and bundled with PyCrypto, M2Crypto or other libraries to deliver hardened web solutions which are more resilient to attacks and manipulations.
High Scalability
Scaling with Python is more than just possible: it’s a pattern. Depending on your environment we use Cpython, PyPy or Jython to run the interpreter loop and maximize simplicity and consistency, thus, making for a very predictable runtime and lending Python to smart horizontal scalability, with caching, indexing and database query factoring being all a matter of course.
