Creating and implementing software solutions using Python

Python is an interpreted, high-level, object-oriented, high-level programming language used to build applications scaling from small to high end mission critical applications. At New MEK, we have been delivering many full-stack web development applications, Data analytics and Data science services.

  • Web-application back-ends
  • Database-driven apps
  • GUI
  • Data analysis and visualization solutions
  • Machine learning
  • Numeric processing
  • DevOps


Robust Standard Library

Python provides a large standard libraries includes the Internet, data science tools, operating system interfaces and protocols.

Machine Learning Support

Python is used in many Machine Learning and Artificial Intelligence applications because of its quick data analysis capability.

Open Source Frameworks and Tools

In the market many open source Python frameworks, libraries and development tools are available. With these implementation the development cost and time to development will be reduced

Web Frameworks: Django, Flask, Pyramid, Bottle and Cherrypy

Python GUI frameworks and toolkits: like PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.


We use Django for building web applications that enables us to deliver rapid development and clean, pragmatic design. It is highly configurable framework that makes writing new functionality really easy. Django is very good whenever you have a relational database to work with. Its ORM is very simple and powerful and it has built in tools for templating, forms, routing, authentication, basic database administration.

Flask is a micro framework written in Python and based on technologies such as Werkzeug and Jinja2 that does not presume or force a developer to use a particular tool or library. We use Flask for smaller projects and APIs but it can also be used for building complex, database-driven websites. Flask is a simple, but powerful framework that enables you to efficiently build web apps.