James Powell: Objectionable Content | PyData Austin 2019
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Published on Apr 26, 2024
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Title: James Powell: Objectionable Content | PyData Austin 2019
Channel: PyData
Description:
Building systems in Python, the Python object model; no machine learningwww.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.
Tutorial: How to Understand "Objectionable Content" by James Powell at PyData Austin 2019
Step 1: Introduction
- Welcome to the tutorial on understanding "Objectionable Content" by James Powell at PyData Austin 2019. This video is a part of the PyData educational program, focusing on building systems in Python and the Python object model.
Step 2: Background Information
- PyData is an educational program under NumFOCUS, a non-profit organization in the United States. It serves as a platform for the global community of data analysis tool users and developers to exchange ideas and knowledge. PyData promotes discussions on best practices, new technologies, and various languages used in data science, such as Python, Julia, and R.
Step 3: Video Overview
- The video features James Powell discussing "Objectionable Content" at PyData Austin 2019. The presentation aims to provide insights into building systems in Python without focusing on machine learning aspects.
Step 4: Key Takeaways
- Attendees of PyData conferences can expect presentations ranging from novice to advanced levels, covering the latest project features and cutting-edge use cases in data management, processing, analytics, and visualization.
Step 5: Additional Resources
- To learn more about PyData and upcoming events, visit www.pydata.org.
- For those interested in contributing to the PyData community, check out the PyData GitHub repository at https://github.com/numfocus/YouTubeVideoTimestamps for adding timestamps and captions to videos.
By following this tutorial, you can gain a better understanding of the content discussed by James Powell in the video "Objectionable Content" at PyData Austin 2019. Explore the PyData community and enhance your knowledge in data analysis and Python programming.