James Powell- Why do I need to know Python- I'm a pandas user | PyData NYC 2022 скачать в хорошем качестве

James Powell- Why do I need to know Python- I'm a pandas user | PyData NYC 2022

It's common for data scientists to narrowly focus on the APIs of the tools they use every day—pandas, matplotlib, pymc, dask, &c.—to the detriment of any focus on the surrounding programming language. In the case of tools like matplotlib, the total amount of Python we need to know is limited to what existed when matplotlib was first developed. (Did you know that matplotlib predates @property? That explains a lot…) In the case of newer tools like dask or pymc or even pandas, we may encounter some newer parts of Python—e.g., context managers or descriptors—as part of these tools' API design, but it's very easy to accept these as mere “syntax.” In this talk, we will discuss where a deeper understanding of pure Python has direct and immediate consequences to your work as a data scientist. We will discuss where these parts of Python you may have skimmed over show up in analytical code, outside of the mere “syntax” of an API. This talk will be organised around answering the following questions: why do generators even matter (and who cares about coroutines)? the itertools module is great… if I were writing scripts, but where does it show up in data analysis? object orientation seems like a bunch of bureaucracy—can it really simplify my analytical code? why should I bother with data types in builtins and collections; is the pandas.DataFrame not enough? knowledge of Python internals would probably be useful, if I were a programmer writing scripts, but why do they matter for a data scientist? Bio: James Powell James Powell is the founder and lead instructor at Don’t Use This Code. A professional Python programmer and enthusiast, James got his start with the language by building reporting and analysis systems for proprietary trading offices; now, he uses his experience as a consultant for those building data engineering and scientific computing platforms for a wide range of clients using cutting-edge open source tools like Python and React. He also currently serves as a Board Director, Chair, and Vice President at NumFOCUS, the 501©3 non-profit that supports all the major tools in the Python data analysis ecosystem (i.e., pandas, numpy, jupyter, matplotlib). At NumFOCUS, he helps build global open source communities for data scientists, data engineers, and business analysts. He helps NumFOCUS run the PyData conference series and has sat on speaker selection and organizing committees for 18 conferences. James is also a prolific speaker: since 2013, he has given over seventy (70) conference talks at over fifty (50) Python events worldwide. === www.pydata.org 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! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...