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WASM-4
TIC-80
PICO-8
Atto Time
Pyxel
Bitsy
LowRes NX
nano JAMMER
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
MatplotlibBased on our record, Matplotlib seems to be a lot more popular than WASM-4. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of WASM-4. 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.
Let's keep it going :D Writing a Minimum Viable Cartridge for WASM4 (https://wasm4.org/) using WAT: https://twitter.com/warianoguerra/status/1748382204508410149 Wasm compilers in a tweet: https://twitter.com/warianoguerra/status/1576166873296941056. - Source: Hacker News / over 2 years ago
You should checkout WASM4โฝยนโพ, an Open Source WebAssembly-based fantasy console with 4 colors and a 160x160 screen. One of its advantages over TIC-80 is that you can program games in any language that compiles to WebAssembly. The games are tiny pure Wasm "carts" that can run on any Wasm runtime, from the browser to Nintendo 3DS. [1] https://wasm4.org. - Source: Hacker News / almost 3 years ago
I created a showcase (and a Rust crate) which enables to create a random seed in the [wasm4](https://wasm4.org) fantasy console. With this seed a game could create a different map or other game items and events and would enable replaying the game with difference in these game items (if a different seed is chosen). In the wasm4 console (and potentially others) there is no source of random or a random number... Source: almost 4 years ago
If you have a simple game idea you want to write, you can use wasm4 (https://wasm4.org). Source: almost 4 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
TIC-80 - TIC-80 is a fantasy computer where you can make, play and share tiny games.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PICO-8 - Lua-based fantasy console for making and playing tiny, computer games and programs.
NumPy - NumPy is the fundamental package for scientific computing with Python
Atto Time - Atto is a simple, all-in-one solution that accurately tracks your employeesโ time and automates timesheets. Join 10,000+ businesses that trust Atto. Sign up now!
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.