Fastplotlib is a new library for creating interactive plots in Python, taking advantage of GPU acceleration for live updates and supporting multiple environments including Jupyter notebooks and PyQt applications. Although it is currently in a late alpha phase, users are encouraged to test it out. Additionally, the article discusses a highly detailed interactive map of package dependencies on PyPI, demonstrating how to plot complex datasets. It also explores the unconventional usage of Python in finance through an oral history, revealing how various investment firms have made unique adaptations to the language, often diverging from standard practices.
Fastplotlib offers interactive plotting capabilities in Python, leveraging GPU power for live-updating graphs across different contexts like Jupyter notebooks and PyQt applications.
The interactive map of Python's package dependencies on PyPI allows users to understand the complexities of the ecosystem, providing insights into how to generate similar graphs with extensive data.
The oral history of Bank Python reveals how investment firms have utilized Python, often abusing its object system and adopting proprietary methods rather than standard libraries like Pandas.
While Fastplotlib is in late alpha, it encourages experimentation outside of production, indicating a willingness to innovate and improve interactive data visualization tools for Python users.
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