PyCon.DE 2018: Data Science Complexity And Solutions In Real Industrial Projects - Artur Miller
PyCon.DE 2018: Enabling The Chip Technologies Of Tomorrow: How Python Helps Us - Tim Hoffmann
"The Software Engineering Part of Data Science" - Niño Eclarin (PyConline AU 2020)
PyCon.DE 2018: Python On The Blockchain: The Ups And Downs In A Crypto Startup - Daniel And Lorb
Overcoming the Development Challenges of Machine Learning Products - Ohad Zadok - PyCon Israel 2018
Joyce Jang - Build Teams as an Engineer - PyCon 2018
PYCON UK 2017: Cylc: the Python workflow engine for cycling systems
Pycon APAC 2019 - Suzy Lee - How did you know? Explaining Black Box Model Predictions in Python
Elle O'Brien - DevOps for Science: using continuous integration | PyData Global 2020
Big Data PPP Industrial Data Platforms - Towards cross-sectorial optimization and traceability
Unit8 Talks #12 - Six Considerations when designing a Data Science Platform
Pycon Ireland 2017: Two approaches to scale your processing, Task Queues and Workflows - Eoin Brazil
"Project Jupyter" with Brian Granger
Tutorial: Beyond the proof of concept: How to set up your data science project to scale
"Python product dev tools for electronics" - Barrie Duncan (Kiwi Pycon X)
AWS Summit Singapore - Getting Smarter at the Edge
Python and R for Advanced Analytics - Britton Stamper
ptc 2018: "The New 2016 Pipeline Operators Forum (POF) Specification; A Vendors Experience"
SFBigAnalytics_20180117: Advanced Data Engineering Patterns with Apache Airflow
Karachi AI : Meetup 8 - STREAMING DATA VIA APACHE BEAM IN PYTHON - SHOAIB ZAFAR (URDU/HINDI) - PYCON
