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Episode Count: 58
id loc name startend duration state episode.name episode.authors e/r cmt rel img rf host index
14979 Cartoon 1 Sat 27 09:00 09:15 0:15:0 12 Saturday Welcome Dave Forgac y/y Y 2 5 Y
14882 Cartoon 1 Sat 27 09:15 10:00 0:45:0 12 Changing Lives through Open Source, Passion and Mentoring Kattni Rembor y/y Y 2 7 Y
14833 Hays Cape Sat 27 10:30 11:00 0:30:0 12 “Who’d I Lend That Book To?” Hard Questions Answered with Python Daniel Lindeman y/y Y 2 5 Y
14830 Cartoon 1 Sat 27 10:30 11:00 0:30:0 12 Becoming a Better Curator of Your Code Ian Zelikman y/y Y 7 Y
14831 Barbie Tootle Sat 27 10:30 11:00 0:30:0 12 Big Data with Small Computers: Building a Hadoop Cluster with Raspberry Pis Alexandria Kalika y/y 11 Y 3 8 Y
14832 Cartoon 2 Sat 27 10:30 11:00 0:30:0 12 Demystifying Machine Learning Nikola Novakovic y Y 3 7 Y
14829 Suzanne Scharer Sat 27 10:30 12:30 0:120:0 12 Enough Python to Fake It Catherine Devlin y/y 197 Y 2 17 Y
14834 Cartoon 2 Sat 27 11:15 11:45 0:30:0 12 Adopt-a-pytest Dane Hillard y Y 2 6 Y
14835 Barbie Tootle Sat 27 11:15 11:45 0:30:0 12 Feature Engineering: An Apprentice’s Guide to the “Dark Art” of Machine Learning Deborah Diller Harris y/y 198 Y 3 6 Y
14836 Cartoon 1 Sat 27 11:15 11:45 0:30:0 12 Lessons from Zero-Defect Software Jason R. Coombs y/y Y 5 5 Y
14837 Hays Cape Sat 27 11:15 11:45 0:30:0 12 Distributed Deep Neural Network Training using MPI on Python Arpan Jain, Kawthar Shafie Khorassani y/y Y 2 9 Y
14839 Cartoon 2 Sat 27 12:00 12:30 0:30:0 12 How to Write Pytest Plugins Darlene Wong y/y Y 23 5 Y
14840 Hays Cape Sat 27 12:00 12:30 0:30:0 12 A Brief History of Fire Brigades Jon Banafato y Y 2 7 Y
14841 Barbie Tootle Sat 27 12:00 12:30 0:30:0 12 Using Dash to Create Interactive Web Apps for Non-Technical Audiences Joseph Willi y/y Y 5 Y
14842 Cartoon 1 Sat 27 12:00 12:30 0:30:0 12 Explicit is Better than Implicit: Making Culture Visible with Team Charters Christopher T. Miller y/y Y 3 5 Y
14853 Cartoon 2 Sat 27 14:00 14:45 0:45:0 12 A Gentle Introduction to Linear Programming in Python Bethany Poulin y/y Y 2 12 Y
14854 Barbie Tootle Sat 27 14:00 14:45 0:45:0 12 Python Improvements (or This Is Not Your Teacher's Python) Travis Risner y Y 2 4 Y
14855 Cartoon 1 Sat 27 14:00 14:45 0:45:0 12 Scraping Your Way to a Dataset Alex Zharichenko y/y Y 3 6 Y
14852 Hays Cape Sat 27 14:00 14:45 0:45:0 12 A Hands-On Guide to Building Interactive Command-Line Apps with cmd2 Todd Leonhardt, Kevin Van Brunt y/y Y 2 4 Y
14861 Cartoon 2 Sat 27 15:00 15:30 0:30:0 12 Docker-Composing Your Way to a Better Development Environment Ricardo Solano y Y 2 6 Y
14865 Hays Cape Sat 27 15:00 15:30 0:30:0 12 Django in Production with PEX Alexandru Barbur y/y Y 2 4 Y
14863 Barbie Tootle Sat 27 15:00 15:30 0:30:0 12 The Magic of Python Darshan Markandaiah y Y 5 Y
14862 Suzanne Scharer Sat 27 15:00 17:00 0:120:0 12 Hands-On Web UI Testing Andrew Knight y/y Y 2 17 Y
14860 Cartoon 1 Sat 27 15:00 15:30 0:30:0 12 If Statements are a Code Smell Aly Sivji y/y Y 6 Y
14871 Cartoon 2 Sat 27 15:45 16:15 0:30:0 12 Building Docs like Code: Continuous Integration for Documentation Mason Egger y Y 2 7 Y
14872 Barbie Tootle Sat 27 15:45 16:15 0:30:0 12 The Value of Docstrings Eric Appelt y/y 91 Y 2 7 Y
14873 Cartoon 1 Sat 27 15:45 16:15 0:30:0 0 The Blameless Post Mortem: How Embracing Failure Makes Us Better Chris Wilcox y/y 243 N 2 7 Y
14870 Hays Cape Sat 27 15:45 16:15 0:30:0 12 Find Your Feature Fit: How to Pick a Text Editor for Python Programming Gregory M. Kapfhammer, Madelyn M. Kapfhammer y/y Y 2 8 Y
14880 Cartoon 2 Sat 27 16:30 17:00 0:30:0 12 # TODO: Add Comments: 5 Tips for _Winning_ at Code Comments Nik Kantar y/y Y 8 Y
14878 Hays Cape Sat 27 16:30 17:00 0:30:0 12 Using Python & R in Harmony Matthew Brower, Krista Readout y Y 2 5 Y
14879 Cartoon 1 Sat 27 16:30 17:00 0:30:0 12 Your Own Personal Bootcamp: How to Efficiently Learn Your Next Technology Joe Erickson y/y Y 2 5 Y
14881 Barbie Tootle Sat 27 16:30 17:00 0:30:0 12 Sipping the Nectar of Amazon from the Serverless Chalice Ilya Gotfryd y/y Y 2 5 Y
14982 Cartoon 1 Sat 27 17:15 18:30 0:75:0 12 Saturday Lightning Talks Dave Forgac y/y Y 2 7 Y
14980 Cartoon 1 Sun 28 11:30 11:40 0:10:0 12 Sunday Welcome Dave Forgac y/y Y 2 10 Y
14883 Cartoon 1 Sun 28 11:40 12:30 0:50:0 12 The Gig is Up: Radical Shifts That Save Cultures, Teams, and Companies Greg Svoboda y Y 2 9 Y
14846 Cartoon 1 Sun 28 12:45 13:15 0:30:0 12 Surviving Without Python Andrew Knight y/y Y 2 5 Y
14843 Barbie Tootle Sun 28 12:45 13:15 0:30:0 12 Quickly Build Your Own Personal Website with Python Vince Salvino y Y 2 8 Y
14844 Hays Cape Sun 28 12:45 13:15 0:30:0 12 Leave Your Inhibitions at the Database Connection Regina Compton y Y 2 8 Y
14845 Cartoon 2 Sun 28 12:45 13:15 0:30:0 12 gRPC and What, Why, How? John Roach y/y Y 2 6 Y
14847 Suzanne Scharer Sun 28 13:15 15:15 0:120:0 12 Probabilistic Programming and Bayesian Inference in Python Lara Kattan y/y 82 Y 3 13 Y
14850 Cartoon 1 Sun 28 13:45 14:15 0:30:0 12 The Mediocre Programmer Craig Maloney y/y Y 2 6 Y
14851 Cartoon 2 Sun 28 13:45 14:15 0:30:0 12 What's the Buzz with Machine Learning Allison Bolen y/y Y 2 6 Y
14848 Hays Cape Sun 28 13:45 14:15 0:30:0 12 The Riddle of the Intersphinx: Configuration and Cross-Reference Composition Brian Skinn y/y Y 2 13 Y
14849 Barbie Tootle Sun 28 13:45 14:15 0:30:0 12 I Lost 25 Pounds Thanks to Python: Personal Data Analytics Using Pandas and Numpy Jack Bennett y/y Y 2 7 Y
14856 Barbie Tootle Sun 28 14:30 15:00 0:30:0 12 Automated Discovery of Cancer Types from Genes Shruthi Ravichandran y/y Y 2 6 Y
14858 Cartoon 2 Sun 28 14:30 15:00 0:30:0 12 Learn How Computers Work Between Silicon and Assembly: Build a CPU with Python Zak Kohler y Y 2 7 Y
14859 Hays Cape Sun 28 14:30 15:00 0:30:0 12 A Practical Introduction to Integer Linear Programming Igor Ferst y Y 2 5 Y
14857 Cartoon 1 Sun 28 14:30 15:00 0:30:0 12 Keeping Fun in Computing Dustin Ingram y Y 2 7 Y
14866 Cartoon 2 Sun 28 15:15 16:00 0:45:0 12 Search Logs + Machine Learning = Auto-Tagged Inventory John Berryman y/y Y 2 5 Y
14864 Suzanne Scharer Sun 28 15:15 17:15 0:120:0 12 Making Games with ppb Piper Thunstrom y 79 Y 3 9 Y
14869 Barbie Tootle Sun 28 15:15 16:00 0:45:0 12 Gathering Insights from Audio Data Ryan Bales y/y Y 5 Y
14868 Cartoon 1 Sun 28 15:15 16:00 0:45:0 12 Deep Learning Like a Viking: Building Convolutional Neural Networks with Keras Guy Royse y/y Y 2 7 Y
14867 Hays Cape Sun 28 15:15 16:00 0:45:0 12 Let's Build an ORM Greg Back y Y 2 8 Y
14877 Cartoon 2 Sun 28 16:15 16:45 0:30:0 12 Dynamic Data Pipelining with Luigi Trey Hakanson y/y Y 2 4 Y
14874 Hays Cape Sun 28 16:15 16:45 0:30:0 12 A/V Streaming Workflow in Python Shishir Pokharel y/y Y 2 4 Y
14875 Barbie Tootle Sun 28 16:15 16:45 0:30:0 12 Is This Your Card? Computer Vision for Playing Card Recognition Steve Crow y Y 2 4 Y
14876 Cartoon 1 Sun 28 16:15 16:45 0:30:0 12 Refactor Yourself Esther B. Gotfryd, MSN, NP-C y/y Y 2 7 Y
14981 Cartoon 1 Sun 28 17:00 18:00 0:60:0 12 Sunday Lightning Talks Dave Forgac y/y Y 2 7 Y

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