Jonas Neubert - What is a PLC and how do I talk Python to it? - PyCon 2019
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IPython and Jupyter in Depth: High productivity, interactive Python - PyCon 2019
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Raymond Hettinger - Modern solvers: Problems well-defined are problems solved - PyCon 2019
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Trey Hunner - Lazy Looping in Python: Making and Using Generators and Iterators - PyCon 2019
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Reuven M. Lerner - Practical decorators - PyCon 2019
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Anthony Shaw - Wily Python: Writing simpler and more maintainable Python - PyCon 2019
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Charles R. Severance - Inside the World's Largest Python Course on Coursera - PyCon 2019
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Elana Hashman - The Black Magic of Python Wheels - PyCon 2019
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Matthew Gordon - Fighting Climate Change with Python - PyCon 2019
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Luciano Ramalho - Set Practice: learning from Python's set types - PyCon 2019
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David Beazley - Lambda Calculus from the Ground Up - PyCon 2019
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Emin Martinian - Statistical Profiling (and other fun with the sys module) - PyCon 2019
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Michael Sullivan - Getting to Three Million Lines of Type-Annotated Python - PyCon 2019
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Yanhui Li, Brian Quinlan - Dependency hell: a library author's guide - PyCon 2019
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Elvis Saravia - Applied Deep Learning for NLP Using PyTorch - PyCon 2019
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Dustin Ingram - PEP 572: The Walrus Operator - PyCon 2019
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Matthew Seal - Programmatic Notebooks with papermill - PyCon 2019
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Ariel Ortiz - Design Patterns in Python for the Untrained Eye - PyCon 2019
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Pablo Galindo Salgado - Time to take out the rubbish: garbage collector - PyCon 2019
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Daniel Chen - Pandas is for Everyone - PyCon 2019
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Kevin Markham - Data Science Best Practices with pandas - PyCon 2019
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Luciano Ramalho - Pythonic Objects: idiomatic OOP in Python - PyCon 2019
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Edwin Jung - Mocking and Patching Pitfalls - PyCon 2019
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Jess Shapiro - Everything at Once: Python's Many Concurrency Models - PyCon 2019
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Shannon Zhu - Leveraging the Type System to Write Secure Applications - PyCon 2019
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