As a leading development company, Pisro prides itself in delivering ace, fully customized web application for our clients, we believe to deliver to the clients not only results but also we provide further support also. With our high Quality Development, we are providing customized IT Development solution to the satisfaction of our clients across the globe ranging from start-ups to well established companies looking to for high quality design services.


MEAN is a set of Open Source components that together, provide an end-to-end framework for building dynamic web applications.The stack is made up of MongoDB,Express (sometimes referred to as Express.js): Back-end web application framework running on top of Node.js,Angular,Node.js : JavaScript runtime environment – lets you implement your application back-end in JavaScript.MEAN applications can be written in one language for both server-side and client-side execution environments


Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.Django takes security seriously and helps developers avoid many common security mistakes.Django is a Python-based free and open-source web framework, which follows the model-view-template (MVT) architectural pattern


Laravel is a web application framework with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling.Laravel is accessible, yet powerful, providing powerful tools needed for large, robust applications. A superb inversion of control container, expressive migration system, and tightly integrated unit testing support give you the tools you need to build any application with which you are tasked.Some of the features of Laravel are a modular packaging system with a dedicated dependency manager, different ways for accessing relational databases, utilities that aid in application deployment and maintenance, and its orientation toward syntactic sugar


Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components,tool used for data science Pandas; NumPy; SciPy; a helping hand from Python’s Standard Library,Big data is best defined as data that is either literally too large to reside on a single machine, or can’t be processed in the absence of a distributed environment. The Python bindings to Apache technologies play heavily here,One of the main reasons why Python is widely used in the scientific and research communities is because of its ease of use and simple syntax which makes it easy to adapt for people who do not have an engineering background. It is also more suited for quick prototyping