These are chat archives for pydata/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
python setup.py build_ext -i
Not sure about 1 and 2. I don’t use it myself.
For 3. I’ve kicked around the idea of a “best practices” page in our documentation that would lay out what we consider characteristics of good pandas code. I’m not sure exactly what would be included, but that’d be a good discussion topic.
For 4. We’ll eventually have first-class string support. Whether that’ll be based on fletcher probably depends our willingness to adopt numba and pyarrow as dependencies, or how rapidly Arrow’s Gandavia initiative develops.