We at the Digital Aptech Pvt. Ltd., project ourselves by means of exceeding our very own boundaries in developing applications using Django framework and Python language. We work from developing simple web based applications to applications in reference with GIS Applications, Real Estate Listing, E-Commerce marketplace, dating apps, Real time communication applications i.e. in almost all the SAAS based applications.

We offer you the most sought after development in using Django and Python because it allows us to build a robust, secured, scalable and a complete user friendly application with n-number of modules that can be implemented at any time. We follow the best industry practice and also complete PEP-8 coding standards while developing application in Python. We have also competent teams who uses DJANGO rest API framework to develop mobile applications as well as integrating web based applications with Angular JS. We have worked with PostgreSQL, MongoDB, NoSQL, MySQL, Cassandra DB, etc.

Our core team is competent enough in ensuring the delivery of projects of a big scale to be delivered in time, proper documentation and complete post developmental support or post developmental maintenance. We take pride in the fact that our process oriented approach as well the ability to listen towards and attend to the details to let us produce an application which not only meets our client’s requirement but also is at par with the current industry standards.

Our competencies don’t limit us to only development of SAAS based applications but also working with Data Analytics both real time and pre-defined database structure. Our competent team of data scientist works in logistic regression, Predictive analytics, distributed analytics, Time chart series as well as other aspects of analysis. In fact, we are also increasing our team of Machine Learning developers in both Supervised and unsupervised learning. We have successfully created recommender Engines, Life style based property search using Supervised Machine learning. With advancement in the field and reachability of Python, we also try grow along with it.

We believe and also assure to provide the best software development based solutions to start-ups, small and medium sized industries. We try to keep up our work with the current industry standard and also allow all our developers to undergo training and testing for being able to adapt to client based request and provide with a solution. We have always been succeeding in achieving our Customer satisfaction with our great monitoring and the QA team those who always ensure a perfect delivery of a system on which you can rely on, as we believe your business and dreams are also our responsibilities as a true service provider.


Web and Internet Development:

Python development using the many choices for web development:

  • Frameworks such as Django and Pyramid.
  • Micro-frameworks such as Flask and Bottle.
  • Advanced content management systems such as Plone and django CMS.

Python’s standard library supports many Internet protocols as well:

  • HTML and XML
  • JSON
  • E-mail processing.
  • Support for FTP, IMAP, and other Internet protocols.
  • Easy-to-use socket interface.

On the other hand the Package Index has yet more libraries:

  • Requests, a powerful HTTP client library.
  • BeautifulSoup, an HTML parser that can handle all sorts of oddball HTML.
  • Feedparser for parsing RSS/Atom feeds.
  • Paramiko, implementing the SSH2 protocol.
  • Twisted Python, a framework for asynchronous network programming.

Scientific and Numeric:

Python is widely used in scientific and numeric computing:

  • SciPy is a collection of packages for mathematics, science, and engineering.
  • Pandas is a data analysis and modelling library.
  • Ipython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing.

Machine learning:

In general, these happen to be the main so-called scientific Python libraries we put to use when performing elementary machine learning tasks (there is a clear subjectivity in this):

  • numpy- mainly useful for its N-dimensional array objects
  • pandas- Python data analysis library, including structures such as dataframes
  • matplotlib- 2D plotting library producing publication quality figures
  • scikit-learn- the machine learning algorithms used for data analysis and data mining tasks