Matplotlib
GnuPlot
Pandas
D3.js
Plotly
SciDaVis
Seaborn
NumPy
ARPAY
G2A
Kinguin
Instant Gaming
Green Man Gaming
itch.io
GOG.com
Roblox
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Matplotlib ARPAYNo features have been listed yet.
ARPAY's answer:
One could consider ar-pay.com as their preferred choice over competitors, not only for its comprehensive understanding of payment processes and exceptional customer support but also for the added advantage of 24/7 customer assistance available in both English and Arabic languages.
The platform further stands out with its extensive selection of gift cards, attractive wholesale pricing, and the assurance of product functionality, reinforcing its commitment to customer satisfaction.
Moreover, ar-pay.com distinguishes itself by directly managing and taking responsibility for its products, setting it apart from being a mere broker.
ARPAY's answer:
Opting for ar-pay.com over its competitors presents a compelling choice for several reasons. The platform stands out with its customer support available in both Arabic and English, ensuring effective communication and assistance. Moreover, ar-pay.com exhibits a deep understanding of payment processes, leveraging fast technology and robust security measures.
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Based on our record, Matplotlib seems to be more popular. It has been mentiond 98 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.
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
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
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Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Kinguin - Marketplace to buy/sell game keys for a myriad of platforms including: Battle.
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.
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