Ko-fi
Buy Me A Coffee
Patreon
Liberapay
Gumroad
Open Collective
OnlyFans
Kickstarter
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
MatplotlibMatplotlib might be a bit more popular than Ko-fi. We know about 114 links to it since March 2021 and only 92 links to Ko-fi. 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.
Crowdfunding Platforms: Platforms like Patreon, Ko-fi, and Open Collective enable developers to receive direct financial support from their user base. These platforms offer transparency, allowing donors to see how their contributions are utilized. - Source: dev.to / over 1 year ago
Doing necessary work. How can I sponsor or otherwise provide fiat for this work? https://buymeacoffee.com/, etc. - Source: Hacker News / about 2 years ago
A few alternatives for micro donations that people have mentioned: https://ko-fi.com/ https://github.com/sponsors https://www.buymeacoffee.com/ Any others, let me know. - Source: Hacker News / over 2 years ago
I still have to try https://ci-en.net/, https://slushe.com/, https://ko-fi.com/, https://catbox.moe/, I heard they were possible good alternatives. But I couldn't say, dunno yet. Source: over 2 years ago
I did, however, remember another crowdfunding platform that may be the best of both worlds here (second highest voted so far being Patreon). Ko-fi: it offers both monthly and one-time donations as well as a store where we could sell things like early access keys or things like that. Their fees are very low as well, capping out at 5%. Source: over 2 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
Buy Me A Coffee - A free, fast and friendly way to accept donations ๐ฐ
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Patreon - Patreon enables fans to give ongoing support to their favorite creators.
NumPy - NumPy is the fundamental package for scientific computing with Python
Liberapay - Liberapay is a recurrent donations platform.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.