MONGODB M101P HOMEWORK 2.3

Sunday, January 22, [Solution] Week 2: Let us count the number of grades we have: You should see three files at the highest level: The blog stores its data in the blog database in two collections, users and sessions. In this problem, you will be using a collection of student scores that is similar to what we used in the lessons. If you got it right, it will provide a validation code for you to enter into the box below.

Blog User Sign-up and Login Download the handout and unpack it. There is also a views directory which contains the templates for the project. When you login or sign-up, the blog will redirect to http: The result should be Find all exam scores greater than or equal to 65, and sort those scores from lowest to highest. Please enter just the number, with no spaces, commas or other characters.

mongodb m101p homework 2.3

The templates comprise the view. If you select homework grade-documents, sort by student and then by score, you can iterate through and find the lowest score for each student by noticing a change in student id. Sunday, January 22, [Solution] Week 2: The correct result will be: Note that this mongoodb are identical to what we taught you within the lessons and you should already have PyMongo 3.

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Enter just the code, no spaces. To verify that you have completed this task correctly, provide the identity of the student with the highest average in the class with following query that uses the aggregation framework.

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mongodb m101p homework 2.3

There is a dump of the video database included in the handouts for the “Creating Documents” lesson. Now Go to hhomework We have removed two pymongo statements from userDAO.

Find all exam scores greater than or equal to 65, and sort those scores from lowest to highest. First, let’s confirm your data is intact; the number of documents should be There is monyodb a views directory which contains the templates for the project.

Any other missing packages will show up when validate. Enter the student ID below.

For those who are using MongoHQ, MongoLab or want to run the webserver on a different host or port, there are some options to the validation script that can be exposed by running. The templates comprise the view. If you have python installed at all, you probably already have most of these installed except pymongo and bottle.

It should redirect you to the welcome page and say: Once you have the the project working, the following steps should work: You should not need to touch any other code. If everything is working properly, you should be able to start the blog by typing: Newer Post Older Post Home.

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The result should be In this problem, you will be using a collection of student scores that is similar to what we used in the lessons. Note that this project requires the following python modules be installed on your computer: If you go to http: As of this recording, we are still using the beta version of PyMongo so we will install directly from GitHub. To confirm you are on the right track, here are some queries to run after you process the data and put it into the grades collection: Let us count the number of grades we have: The dataset contains 4 scores each for students.

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Now let us find the student who holds the st best grade across all grades: In this problem, you will be using a collection of student scores that is similar to what we used in the lessons.

Blog User Sign-up and Login Download the handout and unpack it. Now it’s your turn to analyze the data set.

Which of the choices below is the title of a movie from the year that is rated PG and mngodb no awards? There is also a views directory which contains the templates for the project.