We will use the human height data set:
Use the normal cumulative distribution function with the mean and standard deviation of female height to calculate the probability that a female's height is:
1. between 55.0 and 56.0 inches
2. is less than 5 feet (60 in)
3. is greater than the mean (hint: do you know this answer intuitively?)
Save your code to your Github repository and submit the link
For this assignment you will practice with the Yelp API and the concept of pagination.
Use your API credentials to access the the Yelp api
You can choose the location and search term (food), but it must return more than 20 results so you can practice pagination!
Save the businesses as a records-oriented JSON file. (df.to_json(orient='records'))
Obtain ONLY the first two pages of results
Concatenate the results into one data frame
Here is a sample solution for you to explore.
While this assignment is optional, you can use the notebook & repository created in this practice assignment as a starting point for your first Core assignment.
Follow the instructions from the previous 2 lessons to get your Yelp Fusion API credentials.
Save them locally in a yelp-api.json file located in a ".secret/" folder inside your user folder.
Create a new repository with GitHub desktop.
Load in your API credentials using the JSON module and display what keys are in the dictionary.
DO NOT DISPLAY THE VALUES OF THIS DICTIONARY!!!
Save, commit, and push your work to GitHub.
Practice designing ERD’s
Read MoreFor this stack, you should create a new GitHub repository and Jupyter Notebook for each assignment (except for your Project 3 Parts 1-4, which should be in 1 repository). This assignment will walk you through creating a new repository and notebook with annotated screenshots.
Read MoreUsing the world database and the pictured ERD, complete all 8 of the below queries.
Read More