Meteor
ExpressJS
Node.js
Ruby on Rails
Laravel
Django
ASP.NET
Flask
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Meteor PandasBased on our record, Pandas seems to be a lot more popular than Meteor. While we know about 201 links to Pandas, we've tracked only 11 mentions of Meteor. 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.
The next major MeteorJS release is coming in July 2024! After more than two years of development, this is the final result. The first discussions started in June 2021 and there has been multiple alphas, betas, rcs and a huge amount of package updates. These were constantly battle-tested by the Meteor Core team and the Community, shaping the features and performance of the platform one by one. - Source: dev.to / 13 days ago
Meteor.js is a full-stack JavaScript platform for developing modern web and mobile applications. Meteor includes a key set of technologies for building connected-client reactive applications, a build tool, and a curated set of packages from the Node.js and general JavaScript community. - Source: dev.to / 11 months ago
Meteor.js is a full-stack platform that simplifies the development of web applications by providing a unified approach to building both the front-end and back-end. With real-time data updates, Meteor.js speeds up the development process and ensures you can create powerful applications. - Source: dev.to / about 1 year ago
You could build the whole thing with meteor.com and React. Source: over 1 year ago
This app is itself is a Next.js app that relies on Vulcan.js, a full-stack JavaScript framework that I originally created for Meteor, and that Eric Burel later ported to Next.js. But we will likely phase out the Vulcan.js part eventually to make it a more standard codebase. - Source: dev.to / over 1 year ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 18 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 23 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
NumPy - NumPy is the fundamental package for scientific computing with Python
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
OpenCV - OpenCV is the world's biggest computer vision library
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.