Teaching Python with tiny, occult pandas
summary
Curriculum is refactored from 27 loose topics into four defined courses with real examples: data pipelines using pandas on 20 gigabyte datasets, web projects with Flask web apps and microcontroller projects using microPython on microcontrollers. A GitHub repository collects code, tutorials and classroom-ready tweaks; Google grant funding pays teachers to convert developer submissions into assessed units. Sample activities exist for visualization, API access, packet generation (Ostinato) and robotics; resources are open, free and ready to be pulled into school programs.
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chapters (25)
- 0:00Intro
- 1:17Who's talking at you?
- 3:37Programming expectations
- 5:38Curriculum structure
- 7:27Units of study
- 10:25Two year programs
- 12:19Curriculum is an [imperfect] abstraction
- 14:00Implications
- 16:10Solutions
- 16:32Order from chaos?
- 17:58Python: a unifying language?
- 19:50Data Science
- 20:16Public data explorer
- 21:04Correlation vs. causation
- 21:37Pandas
- 22:29Digital Technologies
- 22:48Grok learning
- 23:38Flask mega-tutorial
- 24:08Other frameworks and tools
- 24:36Robotics & Mechatronics
- 25:04Arduino
- 26:20Networking & Security
- 26:44Cisco Networking Academy
- 27:06Ostinato
- 28:18Specialisation is a thing
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