The digital product delivers the value proposition to users through the digital interaction point. Find out the best practices of developing digital products
on product management, engineering, design, culture and many more...
Ruby on Rails offers useful tools and frameworks for e-commerce development and has numerous successful examples of e-commerce products built with it.
Instagram, Facebook, and even Tesla have already chosen React Native to build their mobile apps. Discover other use cases of this cross-platform development framework and decide on using it for your startup.
Ruby is a language for elegant and expressive coding. Java is the global number one language by usage. Check out what else these technologies have in common and differ in, and pick the best one for your startup
Heroku is a startup-friendly PaaS hosting, and AWS offers numerous options like Elastic Beanstalk for projects requiring huge computing power. Check out our pricing comparison of these hosting providers through the real example of a Railsware product
Pandas, a powerful library for Python, is a must-have tool for every machine learning developer. Check out the hands-on explanation of the Pandas “axis” parameter and how to use it in various cases
React is a JS library for building UI on the web, while React Native is a framework to create cross-platform mobile apps that look and feel like native ones. Learn more about the differences, similarities, pros & cons, and use cases of these Facebook brainchildren.
Progressive web apps are a growing trend on the market. Here, you’ll learn what they are and how they differ from native, hybrid and cross-platform apps.
PHP covers around 80% of websites in the world, and Ruby is a fit for building maintenance-friendly products in short terms. Find out what these programming languages have in common and how they differ to choose the best option for your startup.
Python for Machine Learning: Indexing and Slicing for Lists, Tuples, Strings, and other Sequential Types
Python, one of the most in-demand machine learning languages, supports slice notation for any sequential data type like lists, strings, and others. Discover more about indexing and slicing operations over Python’s lists and any sequential data type.