Node.js
ExpressJS
Visual Studio Code
Django
Laravel
Ruby on Rails
ASP.NET
Meteor
Matplotlib
GnuPlot
Pandas
D3.js
Plotly
Seaborn
SciDaVis
NumPy
Node.js MatplotlibBased on our record, Node.js should be more popular than Matplotlib. It has been mentiond 792 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.
Here is the link to the website to download Nodejs. Download the installer and follow the steps and prompts to install Nodejs. Once you have installed Nodejs you will have access to Node Package Manager (NPM) and npx command that will help in creating a Nextjs project. - Source: dev.to / 2 days ago
If you haven’t already, download and install Node.js. - Source: dev.to / 8 days ago
Now that we have an AI and a discord server, we need the server itself to handle our messages and send requests to the LUIS REST API. For this server, I will use Node.js, so make sure you have Node installed on your machine. If you don’t want to install Node, you can use Docker with a node image! I won’t be covering Docker in this post so if you don’t know how to use Docker (which is really cool by the way), feel... - Source: dev.to / 16 days ago
First, you need to be sure that you have installed Node.js and the Node Package Manager. You can find all versions on the Node.js website here. - Source: dev.to / 22 days ago
1. Setting Up the Environment Before you begin coding, you need to have Node.js and npm (Node Package Manager) installed on your computer. These will allow you to manage dependencies and run Electron code. You can download Node.js and npm from their official page. - Source: dev.to / 23 days ago
Matplotlib: for displaying our image result. - Source: dev.to / about 2 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 3 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 6 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 10 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Django - The Web framework for perfectionists with deadlines
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.