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Due to its high-level syntax and powerful interactive prompt, Julia is typically used as a computational front-end language. However there is growing interest in using Julia to develop statically-compiled libraries to be called from other languages (Python, C++, etc.). I will present recent and ongoing work happening in the Julia community to enable this use case, including building smaller binaries and static analysis tooling.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
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