DO NOT COPY/PASTE YOUR CODE. PLEASE UPLOAD YOUR JUPYTER NOTEBOOK (.ipynb) FILES. Before you start please download 'goodr

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Do Not Copy Paste Your Code Please Upload Your Jupyter Notebook Ipynb Files Before You Start Please Download Goodr 1 (95.99 KiB) Viewed 54 times

DO NOT COPY/PASTE YOUR CODE. PLEASE UPLOAD YOUR JUPYTER NOTEBOOK (.ipynb) FILES. Before you start please download 'goodreads.csv' from the following link. a) Load 'goodreads.csv'. b) But we are missing the column names. Add the following column names and display first 10 rows and the last 10 rows: ["title", "subtitle", "series", "author", "my_rating", "avg_rating", "publisher", "binding", "pages", "year_published", "month_read", "month_read_num", "year_read", "bookshelf"] c) List the books that has subtitle =NaN and series =NaN. d) Write a function that takes author's last name and returns all the books. e) List the books that receives avg_rating ≥3.5. f) List the books that receives myrating ≥3.5 and published in the year \ (2005\) of after.