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Thank you very much. I would certainly love to read more and more about Pandas (or anything) written this style and go deeper in the subject. Are you going to
by qwerty456127 8y ago
Thank you very much. I would certainly love to read more and more about Pandas (or anything) written this style and go deeper in the subject.
Are you going to write more? Can you (or anybody) recommend where (a book, a YouTube channel, a website or whatever) do I continue from the point where you intro ends? As for now all I use of Pandas is a datetime-indexed array of real numbers + simple vector operations on its columns but I feel like I would like to take a learning/career path to becoming a Pandas expert.
- jalammar 8y agoA reasonable next step would be pick up a dataset that interests you (in a domain you're comfortable with) and explore it with pandas. Kaggle has a bunch of data sets (https://www.kaggle.com/datasets https://www.kaggle.com/datasets) in various domains. You can look at the "Kernels" where other users often use pandas to uncover insights and show you their process. Thanks for the kind words!
- happy-go-lucky 8y agoYou may want to check this out: > Short hands-on challenges to perfect your data manipulation skills https://www.kaggle.com/learn/pandas https://www.kaggle.com/learn/pandas Also this: > Things in Pandas I Wish I'd Known Earlier http://nbviewer.jupyter.org/github/rasbt/python_reference/blob/master/tutorials/things_in_pandas.ipynb http://nbviewer.jupyter.org/github/rasbt/python_reference/bl...
- skadamat 8y agoHey there, I'm involved with Dataquest and we have a Pandas and NumPy fundamentals course where we dive into more intermediate concepts like vectorization, key data structures, and the key functions. https://www.dataquest.io/course/pandas-fundamentals https://www.dataquest.io/course/pandas-fundamentals We use a similar approach to the OP. Lots of diagrams and visual aids and you always work with a real dataset.