BandiCam
Camtasia
OBS Studio
Screencast-O-Matic
Movavi Screen Recorder
XSplit
SimpleScreenRecorder
Loom
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
BandiCam
MatplotlibBased on our record, Matplotlib seems to be a lot more popular than BandiCam. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of BandiCam. 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.
It just says "bandicam.com" at the top haha And at the bottom it says "start" which is just a vhs effect. Source: about 3 years ago
Wait you don't manually edit bandicam.com into all your videos??? Source: almost 5 years ago
Also, bandicam.com was a regular watermark on every youtube video on youtube. Source: about 5 years ago
Ok listen I just wanted to say, I am utterly offended at the number of upvotes that some shit on r/gd has. There are people who beat easy demons and get within the realms of some 400 upvotes. I get it, "new player beating easy demons lets give them some encouragement by upvoting them :wholesome:" but honestly it actually pisses me off just how popular these posts are. I don't blame the OP - its kind of just them... Source: about 5 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Camtasia - Unleash the worldโs most powerful screen recorder and video editor with everything you need to tell your story โ powered by AI.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OBS Studio - Free and open source software for video recording and live streaming for Mac, Windows and Linux.
NumPy - NumPy is the fundamental package for scientific computing with Python
Screencast-O-Matic - Free version Records up to 15 minutes, premium is $15/year.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.