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.
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Building a user interface in a mobile app is often a challenge, but we know how to ease it. Our selection of React Native UI components will much facilitate your work.
React Native and Flutter allow you to build cross-platform apps that feel and look close to native ones, while Ionic is a framework for hybrid app development. Find out their ins and outs to choose the technology for your project.
Railsware uses several approaches including pull request review to brush up the code. Here, you will learn what it is as well as some hands-on tips and tricks.
Machine learning helps us in solving real-world problems like currency rate forecasting. This article is for those who want to know more about its practical application
What is serverless architecture and why is it so widely discussed? Read in this overview of FaaS providers, market trends, use cases along with its pros and cons.
With Node.js you can build complex single-page apps, chat rooms, data streaming apps, browser games and even do hardware programming. Find out what else you can use Node.js for, as well as the cases when this run-time environment is not a fit.
Read this blog post to find out the best practices our team applied when using Google Apps Script to build the Airtable Importer Google Sheets add-on.
Starting off with React Native? Here is a list of knowledge sources to make your learning process easier and much more successful.
Machine Learning is the fastest growing technology sector today. There are dozens of different libraries which can cover all your ML and AI needs. The wide array of options is a boon to experienced data scientists but can be intimidating for beginners. In this article, we will discuss the most useful tools and libraries for starting your journey into ML and AI.