Python development can be used for just about anything, but we like to leverage its power to develop high-performance big data applications with complex computing capabilities, such as data analysis and automated statistical functions.
We implement Python machine learning protocols including k-means clustering, decision tree classification, linear and logistic regression. We design Python neural networks for forward and backward propagation of AI computations using natural language. Our deep learning engineers provide businesses with the best natural language technologies to support vector machines, dimensionality reduction, and model validations using Apache Spark, scikit-learn and PyTorch.
Our engineering of big data solutions spans between processing and wrangling, data visualization and object-relational mapping. We implement and deploy cloud base server modifications as database backup and recovery solutions to the cloud. Our Python developers are experts in implementing common Python computing libraries including NimPy, SciPy, and Pandas.
Litost's IT augmentation of Python programmers allows a company to hire full-stack developers for software and app maintenance on-demand. Our team of experienced programmers are versed in coding frontend HTML & CSS stacks using popular development languages such as Python, PHP, Java, C++, and C# to name a few, as well as, backend stacks combined with layers of SQL, AWS or Ruby on Rails for custom app development. We rapidly modify and deploy open-source development for mobile and desktop software.
We program console, mobile, desktop, VR/AR, and browser games with the Python game development framework, PyGame. We use Python to design custom simulations, architectures and graphics. Our modification of Python game engines into existing codes increases flexibility. We use PySDL2 to create event-driven architecture in game development.
Our development of custom GUIs (Graphic User Interfaces) can be built using standard Python GUI library Tkinter. Integration of open-source and third-party options programming are customized using wxPython and JPython for example. We custom develop Python GUI elements that include restaurant menus, buttons, checkboxes, labels, listboxes, messages, and multimedia graphics for web application and pages. All Python widgets are developed with superior geometry and management systems capabilities.
Litost uses Python's extensive suite of frameworks (Django, Pyramid, Flask, web2py) and IDEs (Net Beans, PyCharm, PyScripter), along with the Python Package Index to create readable, data-rich, 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.
Litost provides regression implementations support to scale IT departments using the best engineers and Pythons certification professionals at our company. We modify If-And-Of statements for liner regression and multi-liner regressions to configure block analysis using the businesses source database. We provide on-demand game regression analysis in Python to ensure variables reference the desired object. Our rigorous quality assurance (QA) & software testing analysis assures modification and custom development validation.
We provide fast-reliable object-oriented framework using CherryPy to build web applications that are written using Python.
Django's ORM (object relational mapping), template rendering abilities, and extensive documentation aids in GIS technologies during our software development.
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.
We implement Ipython's interactive shell in software development for data visualization and GUI development.
Litost uses the Kivy Python library to provide cross-platform development of applications and its toolkit.
The Matplotlib 2-D library is used to integrate visualizations of mathematical data set computations during Chetu's software development.
NumPy implantation provides mathematical and statistical functions, including automated functions useful in regression computations of Chetu modifications.
We engineer data manipulation and analysis tools for applications using pandas' extensive dataset toolkit.
Litost integrates Pycharm as an integrated development environment (IDE) for Python web and app development.
The PyQt is a cross-platform IDE development framework that enables Chetu to design UI and provide interoperability of other libraries and framework using the Python language.
We program enterprise-grade web applications with superior database connectivity using Pyramid's highly flexible, modular framework.
We create highly secure, database-driven, dynamic web content using web2py's multi-threaded web server, browser-friendly IDE, and unique deployment abilities.
The Werkzeug is a WSGI (Web Server Gateway Interface) application and utilities library Litost uses to provide architectural augmentation support.