Alexander Hendorf - Better Code for Data Science | PyData Global 2020

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Talk
The coding quality must be improved in Data Science and AI. Though code in notebooks may provide some working solutions, too often it’s hard to maintain, reuse or even to read for an outsider - apart from being inefficient. In this talk I will share a decade of Python experience and provide background, good practices and guidelines that enable everyone to write proper code for Data & AI.

Speaker
Alexander’ professional career was always about digitalization: starting from vinyl records in the nineties to advanced data analytics nowadays.


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. 00:00 Welcome!
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