In the age of smartphones and the internet, every ecommerce business needs to have a strong mobile and online
Learn with Sphere: Micro Frontends: Module Federation Approach
In this article, our Full-Stack Software Developer, Evgenii Gordeev, takes us through a short journey through the history of micro frontends, followed by a use case of building a modern composite frontend based on the Webpack Module Federation.
TensorFlow.js vs. Keras – a Quick Comparison
What's the difference between TensorFlow and Keras and when do I use which one? In this post we explore these popular machine learning frameworks and explore the differences.
Learn with Sphere: Modern Backend: The Universal Pipeline
My name is Vladimir Kalinkin and I’m a Multi-Stack Software Developer at Sphere Partners. In this article, I’m
Learn with Sphere: Google Cloud Machine Learning Pipeline: An approach to building an automated scalable ML pipeline using GCP
I’m Nikolay Milya, a Senior Full-Stack Developer at Sphere Partners. In this article, I am going to explain how
Learn with Sphere: Machine Learning Walkthrough using LabelBinarize and Keras
Our own Anton Kazakov walks us through a machine learning tutorial project using LabelBinarize and Keras. The goal of the project was to get familiar with model training, data preparation and predict phase.
Comparing Video Platform API and Features
With remote working now the norm amidst the pandemic, seamless real-time video communication is now an essential feature for business
Our Experts Reveal the Best Python Frameworks for ETL
This post will cover examples of ETL frameworks, which are the easiest and most comprehensive way to approach ETL in Python.
Enabling Customer Driven Application Development for Gett B2B
Sphere developed a successful customer-oriented prototype for Gett Taxi.
Acquisition of a Large Electric Vehicle Charging Company Leads to Migrating Legacy Applications to Microservices
Following a key acquisition of an electric vehicle charging company, the client software teams decided to migrate their old monolith system that ran from a data server into set of new microservices in the cloud.