The game engine you waited for... Godot provides a huge set of common tools, so you can just focus on making your game without reinventing the wheel.
Godot is completely free and open-source under the very permissive MIT license. No strings attached, no royalties, nothing. Your game is yours, down to the last line of engine code.
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Based on our record, Godot Engine seems to be a lot more popular than statsmodels. While we know about 465 links to Godot Engine, we've tracked only 4 mentions of statsmodels. 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.
I'll just leave this here: https://godotengine.org/. - Source: Hacker News / about 21 hours ago
Have you looked into https://godotengine.org/ ? It has a pretty slick web export that supports WebGL really well last time I looked at it. - Source: Hacker News / 6 days ago
For the web you can now use Cocos2d-x[1], Godot Engine[2], PixiJS[3], and/or Phaser[4]. [1] https://www.cocos.com/en/cocos2d-x [2] https://godotengine.org/ [3] https://pixijs.com/ [4] https://phaser.io/. - Source: Hacker News / 20 days ago
On a quest to learn about game development with the Godot Engine, I recently took on the 20 Games Challenge. This whole challenge revolves around the idea that finishing a series of small scoped projects of increasing complexity is better than not finishing a Dream Gameโข. - Source: dev.to / about 1 month ago
Explore resources on Unity, Unreal Engine, and Godot for more. - Source: dev.to / 3 months ago
I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post. Source: almost 3 years ago
Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for. Source: about 3 years ago
In case you're really worried about cold start latency and your application load shows high variance in the number of concurrent requests, you might want to get a bit fancier. You could use time-series forecasting to anticipate how many containers should be warmed at each point in time. StatsModels is an open-source project that offers the most common algorithms for working with time-series. Here's a good... - Source: dev.to / about 4 years ago
Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels. Source: over 4 years ago
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