Analyzing Data: What pandas and SQL Taught Me About Taking an Average
at PyCon 2018
Augmenting Human Decision Making with Data Science
Behavior-Driven Python
Beyond scraping: how to use machine learning when you're not sure where to start
Beyond Unit Tests: Taking Your Testing to the Next Level
Birding with Python and Machine Learning
Bowerbirds of Technology: Architecture and Teams at Less-than-Google Scale
Building a Data Pipeline with Testing in Mind
Build Teams as an Engineer
Code like an accountant: Designing data systems for accuracy, resilience and auditability
Code Reviews Using Art Critique Principles
Coding through Adversity
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