Development of Complex Projects in Python

Python is a universal, object-oriented programming language. It allows you to implement projects using Machine Learning, Computer Vision, and Big Data.

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Advantages of Developing Projects in Python

The collection and analysis of large data arrays takes a few minutes. Therefore, machine learning and computer vision are implemented in Python.

The Python syntax is simple and easy-to-use. This accounts for a clear project architecture clear, and the implementation is 3-4 times faster compared to other languages.

Do you have a bold idea that you want to implement on your project? The Django and Flask frameworks provide simplicity and flexibility when working on a project.

Higher development speed

Making any ideas a reality

Data Science Opportunities

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What Complex Tasks Can Be Solved in Python

Training portals can be either part of a corporate portal or a separate site. Training materials can be stored, created and managed in the corporate training system. Such a system provides the opportunity to manage the learning processes, maintain communication and exchange knowledge.

Corporate Training Systems

Using the computer vision technology, the software can recognize the contents of photos, detect objects, classify and generate them. This appication of Python is gaining popularity in the field of targeted advertising.

Image Recognition Systems

Implementation example

For medium and large businesses, the automation of printing is always an important issue. For example, logistics operators are faced with the challenge when the same document must be simultaneously printed on several printers in different parts of the warehouse. The print service in Python ensures the routing and delivery of data to the printer, with the opportunity to send it to print both from a PC or a mobile device.

Print Service Management

In synchronous modules, each new operation starts after the completion of the previous one, and the software can simply hang if one of the commands is executed for too long. Asynchronous modules can successfully manage multiple operations at the same time, provide an opportunity to load modules as and when required, which helps speeding up the website loading.

Asynchronous Modules for Existing Systems

Automation of manual tasks and digitization of paper documents. The document recognition system can classify the documents, store them in a single database, send them via internal and external channels (providing the digitization of work with contractors and suppliers).

Document Recognition Systems

Creation of a virtual office where employees can work together, exchange information and different types of documents or make changes to them. In addition, all customer information, business tasks, analytics, etc. can be stored on corporate websites.

Corporate Websites

Python can be used for back-end development. Kivy and BeeWare libraries allow you to write cross-platform mobile applications in Python that run on both Android and iOS platforms.

Back-end for PWA and Mobile Applications

Our cases

Development of an international hackathon platform in Python

Objective

Develop a platform for a major international hackathon, with more than 10,000 participants.

Result

The project is resistant to high loads, including the registration of participants from all over the world, organizers' work on sending and accepting tasks, forming teams by the participants and working on tasks. The system supports a certain set of rules, validates the results of each participant, compares them with the perfect solution, and verifies the compliance with multiple mandatory conditions.

Python is used as a back-end for PWA (in particular, SPA) + Django. This makes the project more flexible and speeds up the overall development.

Solution

Automated system for documentation package verification

Objective

Develop a solution that will automate the processing of paper documents.

Learn more

Python enables the random forest learning method and a vector analysis of word position by metrics to identify the types of documents.

Solution

Result

The automated document package verification system can process several document packages simultaneously. At the start of development, we managed to achieve the 80% recognition rate. We keep working on the project and we plan to improve the recognition algorithms to be as close to 100% result as possible.

Don't Want to Develop a Project from Scratch?

See Magento

We can start by implementing a modular project architecture with a ready-made functionality. Our portfolio includes Magento and Bitrix.

OUR WORK PRINCIPLES

The manager's task is to develop the client's project by improving its metrics. Therefore, we pay close attention not only to the recruitment process (more than 100 interviews per vacancy), but also to the constant improvement of our current team.

We support processes that allow analyzing all the required metrics and provide simple communication with us for big Russian and international businesses.

Deep expertise and a wide range of technologies applied to enable project implementation on any stack and the use of a low-code system or a ready-made solution.