We use Python's extensive suite of frameworks (Django, Pyramid, Flask, web2py) and IDEs (Net Beans, PyCharm, PyScripter), along with the Python Package Index, to build highly readable, data-heavy, cross-platform apps. We develop responsive web apps, statistical computation software, and enterprise-grade apps with modules for CRM, content management, ERP, financial services, and prototyping.
Development of custom GUIs built using standard Python GUI library Tkinter, as well as open-source and third-party options like wxPython and JPython. Custom Python GUI elements include menus, buttons, checkboxes, labels, listboxes, messages, and multimedia graphics. All Python widgets are developed with superior geometry management capabilities.
Engineering of big data solutions including processing and wrangling, data visualization, geospatial and object-relational mapping, persistence, natural language processing, and database development. Our Python developers are experts in implementing common Python computing libraries including NimPy, SciPy, and Pandas.
Programming of console, mobile, desktop, VR/AR, and browser games with the Python game development framework, PyGame. Designing of custom simulations, architectures, graphics, and UI. Integration of Python game engines into existing games in need of scripting for increased flexibility.
We implement Python machine learning protocols including k-means clustering, decision tree classification, linear and logistic regression, support vector machines, dimensionality reduction, and model validation. We also design Python neural networks for forward and backward propagation.
Rapid development of scalable server-side web applications and data-rich websites using Django's ORM, template rendering abilities, and extensive documentation.
Programming of enterprise-grade web applications with superior database connectivity using Pyramid's highly flexible, modular framework.
We use Flask's flexible, compact web micro-framework, which includes built-in unit testing and Google App Engine support, to build smaller-scale web resources.
Integration of multidimensional arrays and computation routines that enable mathematical and statistical functions, including automated functions.
We engineer data manipulation and analysis tools for applications used in the fields of finance, social science, and statistics using pandas' extensive dataset toolkit.
We create highly secure, database-driven, dynamic web content using web2py's multi-threaded web server, browser-friendly IDE, and unique deployment abilities.