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1. Things in Python, Pandas, GeoPandas and Jupyter that I've had to look up or weren't obvious in the documentation.

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2. Session notes, data, instructions and examples for a hands-on workshop on using a diverse set of tools and practices for journalistic data analysis. For SRCCON 2016 http://srccon.org/sessions/#prop…

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3. Split a table in an image extracted from a PDF and OCR the individual pieces.

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4. Notes and activity code for the "Python 3: Data cleaning and visualization with pandas and matplotlib" session at the 2018 NICAR conference.

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5. Jupyter notebook demonstrating how to create isocrhones using Python and some helpful spatial APIs

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6. Tip sheet and activities for a hands-on session about using the command line for the 2025 NICAR conference

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