Based on our record, Matplotlib seems to be a lot more popular than Revenue. While we know about 98 links to Matplotlib, we've tracked only 1 mention of Revenue. 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.
Imagine if interest rates go to 5% (a normal rate before the world economy almost collapsed in 2008), fewer people are going to want to invest in "Random EV company that hasn't made any cars or revenue.com" when they could just get 5%, risk free. People will take money out of the stock market, stock prices go down. Source: over 2 years ago
Matplotlib: for displaying our image result. - Source: dev.to / about 1 month 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
Reddit - Reddit gives you the best of the internet in one place. Get a constantly updating feed of breaking news, fun stories, pics, memes, and videos just for you.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Pixfuture - Pixfuture is a self serve advertisement platform for advertisers and publishers.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Contextly - Contextly provides content recommendation system for publishers.
Plotly - Low-Code Data Apps