pandas is a foundational library for analytics, data processing, and data science. It’s a huge project with tons of optionality and depth.
In this course you’ll see how to use some lesser-used but idiomatic pandas capabilities that lend your code better readability, versatility, and speed.
- 11 Lessons
- Video Subtitles and Full Transcript
- Accompanying Text-Based Tutorial
- Q&A With Python Experts: Ask a Question
- Certificate of Completion
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