Based on our record, Matplotlib should be more popular than GeoGebra. 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.
When I create a GeoGebra file using the One Variable Analysis, Regression Analysis, Multiple Variable Analysis tools, it work fine until I export it to the online collection of resources on geogebra.org. Source: 9 months ago
Sure, there is the fullscreen button in the lower right corner in every geogebra.org applet... But sometimes I want the students to "Start" an applet by clicking a single button (which also does UpdatingConstruction and other things....) and in that way I can ensure that they really use the fullscreen. Source: 12 months ago
To access your account on geogebra.org:. Source: about 1 year ago
Check out geogebra.org and desmos.com and find those online communities, and *thank you.* I'm going to be so bold as to assume you want to make the topics make more sense to people than they usually do, and perhaps get more of them passing the courses? Source: about 1 year ago
The website: Https://tube.geogebra.org/ No longer exists. Instead, the GeoGebra resource center is at:https://geogebra.org/. Source: over 1 year ago
Matplotlib: for displaying our image result. - Source: dev.to / 20 days ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 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 / 9 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: 12 months ago
Desmos - A beautiful, innovative, and modern online graphing calculator.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Plotly - Low-Code Data Apps
Giac/Xcas - Free computer algebra system