lolkek

@lolkek

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Supercast where self expression is uninhibited. 💜🔥🚀

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Drakula built on Zora's protocol on @base.base.eth and earned $17K in its first day Build on Zora to tap into a powerful and permissionless business model for your app. Docs: https://ourzora.github.io/zora-protocol/protocol-sdk/introduction

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konstantinbalaskov230

@konstantinbalask

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@typedarray.eth

Highly recommend trying Polars (https://docs.pola.rs) if you haven't. The APIs are very thoughtfully designed. May not be suitable for your use case if you need GPU acceleration though (https://pola.rs/posts/polars-on-gpu).

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Vitalik Buterin

The differences between the APIs of numpy, cupy and torch are so fascinating.... ``` >>> import torch as np >>> np.arange(10) tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) >>> a = np.zeros(20) >>> a[19:-1:-2] = np.arange(10) ``` Torch doesn't let you have ranges that go backwards 🤣 Would love more consistency

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