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React Native vs Flutter Comaprison 2019

React Native Vs Flutter – What is the difference? React Native and Flutter, both the platforms allow companies to have one mobile app codebase for the two operating systems (iOS and Android). Then what is the difference? Let’s find out: 1. Performance: Flutter clearly wins the competition on the basis of performance. Flutter makes use of great performance profiling tools, such as the DevTools of  Dart Programming Language . The DevTools includes the Flutter Inspector – that helps the Flutter developers to visualize and explore Flutter widget trees. Furthermore, the compilation of code using C and C++ library significantly improves the Flutter app performance. On the contrary, React Native developers face issues related to architecture, libraries, and native components, especially while building hybrid apps. If you are making react vs flutter comparison, on the basis of performance, you can definitely  hire flutter developers  and get your project started. Winner: Flutter
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Top 10 Programming Languages in 2019

The world is becoming smarter day by day with the rapid development of Automation, Artificial Intelligence, Blockchain, etc. We are witnessing several technological advents and their intervention in our day-to-day activities. And at the heart of these technologies are programming languages. Deciding which programming languages to learn will impact your career and the types of jobs you land up. That’s why it is important we take a look at the top 10 programming languages in 2019. Here’s a list of top 10 programming languages I’ll be covering in this blog: Python JavaScript Java Swift GoLang C# C++ Scala Kotlin Ruby 1. Python  Python is the fastest growing general purpose, high-level programming language with an emphasis on code readability. It has notable features like Open-source programming language Extensive support modules and community development Easy integration with web services User-friendly data structures GUI-based desktop applications It is als

Analyasis of different sorting algorithms.

Analysis of different sorting techniques click on link to follow most active programming memes and knowledge community  Prgramming Official Instagram Page In this article, we will discuss important properties of different sorting techniques including their complexity, stability and memory constraints. Before understanding this article, you should understand basics of different sorting techniques. Time complexity Analysis – We have discussed the best, average and worst case complexity of different sorting techniques with possible scenarios. Comparison based sorting – In comparison based sorting, elements of an array are compared with each other to find the sorted array. Bubble sort and Insertion sort – Average and worst case time complexity: n^2 Best case time complexity: n when array is already sorted. Worst case: when the array is reverse sorted. Selection sort – Best, average and worst case time complexity: n^2 which is independent of distribution of d