Based on our record, Pandas should be more popular than GeoGebra. It has been mentiond 198 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
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 14 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 8 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
Desmos - A beautiful, innovative, and modern online graphing calculator.
NumPy - NumPy is the fundamental package for scientific computing with Python
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
OpenCV - OpenCV is the world's biggest computer vision library