Python

Backed by wide experience in client-server programming and administration, we provide custom development of full-stack web-based applications and high-load web services using Python.

OUR CLIENTS

Creating and implementing software solutions using Python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics primarily used to build applications’ back-ends, interact with databases or provide data analysis and visualization capacities.
For over a decade, N-iX has been developing software on Python and providing customers with full-stack web-development services backed by advanced experience in client-server programming and administration. Our portfolio of Python projects includes a range of B2B portals, cloud based solutions, e-commerce projects, APIs, web applications and high-load entertaining web services such as n1ght.com, the largest worldwide clubbing website with 60 covered countries that allows interactions between customers, nightclubs and events promoters. N-iX Python experts were also involved in web projects with RESTful services and data analysis solutions.

  • Web-application back-ends
  • Database-driven apps
  • GUI
  • Data analysis and visualization solutions
  • Machine learning
  • Numeric processing
  • DevOps
 
US-based Healthcare Company's Team Extension in Ukraine

Cure Forward is a US-based biotech startup aimed at changing traditional approach to cancer treatment.

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R&D center for a UK Enterprise Content Management Company

Vable is an established UK company providing an effective solution for handling multiple information streams on a single site.

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Why Python

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Time savings

Making a project in Python will take less time and actual code than most other languages. If it takes about 60 lines of code to make things in Java or C++ that can be done in 20 lines in Python.

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Ease of use

Python is easy to learn, write code on and to comprehend other people’s code. It has many libraries and good web frameworks. Its documentation is easy to read, full of examples and is widely available.

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Efficiency

While Big Data is getting more popular these days, Python becomes a language of choice to reduce memory consumption. The more data you have to process, the more important it becomes to manage the memory you use.

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Cross-platform runability

The attraction to an interpreted language like Python is that it runs on many platforms, so you write the same code for all of them. Moreover, Python is a ‘glue language’, which is used to bound code written in different languages.

We are familiar with

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.

We use Tornado for projects with high volume traffic, as it has asynchronous networking library and operates using non-blocking network I/O. Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.

Pyramid is a general, open source, Python web application development framework. As its primary goal is to make it easier for a Python developer to create web applications, we use Pyramid for projects with simple requirements that needs to launch quickly.

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