I've been writing R code several hours a day for the last 10 years and consider myself high intermediate/advanced. I learned python (python 2) years ago but I've used it so little over the last 5 years that my proficiency has atrophied to essentially zero.
What are some good resources for quickly building a good base proficiency with Python (python 3) for an advanced R programmer? I specifically want some focus on using pandas and want to learn in the context of using Jupyter, with some emphasis on using notebooks, its features, etc. I don't need or want fundamentals common to every language ("here's what a for loop does; here's how if/else works, etc"). I'm open to many formats - datacamp-style interactive courses, Coursera, or even a book.