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Оказывается вышел пре-релиз версии 6.0 библиотеки Plotly для визуализации данных [1] самое интересное там это то что они перешли на библиотеку Narwhals [2] которая позволяет работать с условно любой библиотекой для датафреймов и сохранять совместимость с pandas. Например, это такие библиотеки как: cuDF, Modin, pandas, Polars, PyArrow

Собственно и автор Plotly пишет про то что для не-pandas датафреймов всё ускоряется в 2-3 раза [3].

По всем параметрам хорошая штука, надо использовать на практике.

Ссылки:
[1] https://github.com/plotly/plotly.py/releases/tag/v6.0.0rc0
[2] https://github.com/narwhals-dev/narwhals
[3] https://www.linkedin.com/posts/marcogorelli_plotly-60-%F0%9D%90%A9%F0%9D%90%AB%F0%9D%90%9E%F0%9D%90%AB%F0%9D%90%9E%F0%9D%90%A5%F0%9D%90%9E%F0%9D%90%9A%F0%9D%90%AC%F0%9D%90%9E-is-out-activity-7267885615096991744-2ORl?utm_source=share&utm_medium=member_desktop

#opensource #dataviz #dataframes



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Оказывается вышел пре-релиз версии 6.0 библиотеки Plotly для визуализации данных [1] самое интересное там это то что они перешли на библиотеку Narwhals [2] которая позволяет работать с условно любой библиотекой для датафреймов и сохранять совместимость с pandas. Например, это такие библиотеки как: cuDF, Modin, pandas, Polars, PyArrow

Собственно и автор Plotly пишет про то что для не-pandas датафреймов всё ускоряется в 2-3 раза [3].

По всем параметрам хорошая штука, надо использовать на практике.

Ссылки:
[1] https://github.com/plotly/plotly.py/releases/tag/v6.0.0rc0
[2] https://github.com/narwhals-dev/narwhals
[3] https://www.linkedin.com/posts/marcogorelli_plotly-60-%F0%9D%90%A9%F0%9D%90%AB%F0%9D%90%9E%F0%9D%90%AB%F0%9D%90%9E%F0%9D%90%A5%F0%9D%90%9E%F0%9D%90%9A%F0%9D%90%AC%F0%9D%90%9E-is-out-activity-7267885615096991744-2ORl?utm_source=share&utm_medium=member_desktop

#opensource #dataviz #dataframes

BY Ivan Begtin




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Additionally, investors are often instructed to deposit monies into personal bank accounts of individuals who claim to represent a legitimate entity, and/or into an unrelated corporate account. To lend credence and to lure unsuspecting victims, perpetrators usually claim that their entity and/or the investment schemes are approved by financial authorities. At the start of 2018, the company attempted to launch an Initial Coin Offering (ICO) which would enable it to enable payments (and earn the cash that comes from doing so). The initial signals were promising, especially given Telegram’s user base is already fairly crypto-savvy. It raised an initial tranche of cash – worth more than a billion dollars – to help develop the coin before opening sales to the public. Unfortunately, third-party sales of coins bought in those initial fundraising rounds raised the ire of the SEC, which brought the hammer down on the whole operation. In 2020, officials ordered Telegram to pay a fine of $18.5 million and hand back much of the cash that it had raised. "There are a lot of things that Telegram could have been doing this whole time. And they know exactly what they are and they've chosen not to do them. That's why I don't trust them," she said. Emerson Brooking, a disinformation expert at the Atlantic Council's Digital Forensic Research Lab, said: "Back in the Wild West period of content moderation, like 2014 or 2015, maybe they could have gotten away with it, but it stands in marked contrast with how other companies run themselves today." Asked about its stance on disinformation, Telegram spokesperson Remi Vaughn told AFP: "As noted by our CEO, the sheer volume of information being shared on channels makes it extremely difficult to verify, so it's important that users double-check what they read."
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