
Craftwork
Icons8
Struct Illustrations
Iconscout
Humaaans
Ouch! Illustrations by Icons8
UIHut
Control Illustrations
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Craftwork
MatplotlibDesigners seeking professionally designed digital assets, such as UI kits and illustrations, as well as teams and individuals who prioritize quality and variety in their creative work.
Based on our record, Matplotlib seems to be a lot more popular than Craftwork. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of Craftwork. 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.
Craftwork โ 50% off on UX/UI kits, illustrations, graphics and all access subscriptions โ https://craftwork.design. Source: over 4 years ago
Shoutouts to Craftwork.design For the illustrations. Were used as samples. After this poll ends, I pick a license and request modifications and edits by contacting Craftwork studio. Those are good fellas! Source: over 4 years ago
These are not high-quality illustrations, but garbage (pardon those words). The best illustrations are right here: Https://icons8.com/illustrations Https://storytale.io/ Https://craftwork.design/. Source: almost 5 years ago
Craftwork: Interface assets for designers and startup creatives. Source: almost 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 / 5 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 / 8 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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 / 11 months ago
Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import iconsโฆ
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Struct Illustrations - Create your own unique story with editable illustrations
NumPy - NumPy is the fundamental package for scientific computing with Python
Iconscout - Design Resource Marketplace.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.