React Native
jQuery
Flutter.dev
Babel
OpenSSL
Composer
Raven.js
Symfony
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
React NativeBased on our record, React Native should be more popular than NumPy. It has been mentiond 212 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Recently, there has been a notable shift in mobile application development practices. Rather than creating separate applications for each native platform, many developers are opting for hybrid mobile frameworks like React Native. - Source: dev.to / 27 days ago
React Native [ https://reactnative.dev/ ]. - Source: dev.to / about 1 month ago
Versatility: JavaScript is not limited to web browsers. It's used in a variety of environments, including mobile app development (using frameworks like React Native), game development (using libraries like Phaser), and even serverless computing (using platforms like AWS Lambda). - Source: dev.to / about 1 month ago
In the competitive landscape of mobile app development, user experience (UX) has emerged as a critical differentiator. React Native, with its robust framework and versatile capabilities, offers developers a powerful toolkit to create seamless and engaging user experiences. This blog post delves into the design principles and best practices in React Native app development, uncovering how developers can elevate user... - Source: dev.to / about 1 month ago
You can find the React Native documentation here and Flutter Documentation here. - Source: dev.to / about 1 month ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
jQuery - The Write Less, Do More, JavaScript Library.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Flutter.dev - Build beautiful native apps in record time 🚀
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Babel - Babel is a compiler for writing next generation JavaScript.
OpenCV - OpenCV is the world's biggest computer vision library
