Provide the console output of the routines that you have implemented in the text input box in the format as specified in the problems (whenever required).
\nProvide a pdf file of the iPython notebook of your code. Check the following link for a convenient way to convert an iPython notebook to a pdf (Links to an external site.) document:
\nCreate an iPython notebook to work on the following problems. [How To link: https:\/\/www.dataquest.io\/blog\/jupyter-notebook-tutorial\/ (Links to an external site.)]
\nClearly put the problem numbers in appropriate headers and sub-headers on the notebook.
\nDo not display information that is not being sought.
\nImages or data files, if any, should be kept in folders such as \u201c.\/images\/im_name.jpg\u201d or \u201c.\/data\/data_file.cvs.\u201d
\nYou should build upon the code already provided in the updated notebook (the link to Google Drive is on the Module now) in this module wherever appropriate .
\nIf you have any questions etc., bring it on the discussion board for this Module.
\nPlease note that peer-review is only learning from other’s work. You can comment and critique. Grading will be performed by the grader.<\/p>\n
—————–<\/p>\n
cIn the text input box, provide the console output of the procedures you’ve built in the format indicated in the problems (whenever required).
\nProvide a pdf file of your code’s iPython notebook. For a quick approach to convert an iPython notebook to a pdf (Links to an external site.) document, see the following link:<\/p>\n
Make an iPython notebook to work on the problems below. (Links to an external site.)] [How to link: https:\/\/www.dataquest.io\/blog\/jupyter-notebook-tutorial\/<\/p>\n
Put the problem numbers in the notebook’s proper headers and subheaders.<\/p>\n
Do not display information that is not being sought.<\/p>\n
Images or data files, if any, should be kept in folders such as \u201c.\/images\/im_name.jpg\u201d or \u201c.\/data\/data_file.cvs.\u201d<\/p>\n
You should build upon the code already provided in<\/p>\n","protected":false},"excerpt":{"rendered":"
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