Based on our record, Matplotlib should be more popular than GeoGebra. It has been mentiond 100 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.
Python (with Matplotlib): A powerful library for creating detailed histograms. - Source: dev.to / 4 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Matplotlib: for displaying our image result. - Source: dev.to / 2 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 4 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 7 months ago
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: 11 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: about 1 year 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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Desmos - A beautiful, innovative, and modern online graphing calculator.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
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.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Plotly - Low-Code Data Apps