Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
This documentation does a good job of appealing to those with a reading/writing and visual preferred learning styles (the V and R in education theorist Neil Fleming's VARK student learning model). It even appeals to those Kinesthetic(K) learners as it is modeled like a walk-through where the reader may follow along while reading the guide and dissecting real use-cases. However, this information may be difficult for auditory(A) learners and observational learners. It also may be difficult for neurodivergent learners who have difficulty with reading comprehension and tend to miss important details in text.
Suggested fix for documentation
The addition of a video walkthrough of the '10 minutes to pandas' guide would provide another learning option for those who prefer a non-text based way of learning. This will also promote inclusivity and accessibility, as it will appeal to all learning types as well as users with disabilities.
Pandas version checks
main
hereLocation of the documentation
https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min
Documentation problem
This documentation does a good job of appealing to those with a reading/writing and visual preferred learning styles (the V and R in education theorist Neil Fleming's VARK student learning model). It even appeals to those Kinesthetic(K) learners as it is modeled like a walk-through where the reader may follow along while reading the guide and dissecting real use-cases. However, this information may be difficult for auditory(A) learners and observational learners. It also may be difficult for neurodivergent learners who have difficulty with reading comprehension and tend to miss important details in text.
Suggested fix for documentation
The addition of a video walkthrough of the '10 minutes to pandas' guide would provide another learning option for those who prefer a non-text based way of learning. This will also promote inclusivity and accessibility, as it will appeal to all learning types as well as users with disabilities.