MONGODB HOMEWORK 2.3

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. Use that data set to answer this question. The templates comprise the view. The dataset contains 4 scores each for students. If you have python installed at all, you probably already have most of these installed except pymongo and bottle. If everything is working properly, you should be able to start the blog by typing:

Blog User Sign-up and Login Download the handout and unpack it. 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. If you go to http: Now it’s your turn to analyze the data set. There is a dump of the video database included in the handouts for the “Creating Documents” lesson. Let us count the number of grades we have:

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Now it’s your turn to analyze the data yomework. The dataset contains 4 scores each for students. If you go to http: If you have python installed at all, you probably already have most of these installed except pymongo and bottle. Enter the student ID below.

There is also a views directory which contains the templates for the project. The templates comprise the view. First, let’s confirm your data is intact; the number of documents should be Once you have the the project working, the following steps should homweork In this problem, you will be using a collection of student scores that is similar to what we used in the lessons. Any other missing packages will show up when validate.

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Let us count the number of grades we have: Find all exam scores greater than or equal to 65, and sort those scores from lowest to highest. If everything is working properly, you should be able to start the blog by typing: Sunday, January 22, [Solution] Mkngodb 2: There is a dump of the video database included homewori the handouts for the “Creating Documents” lesson.

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.

Since each document is one grade, it should remove one document per student. Newer Post Older Post Home.

As of this recording, we are still using the beta version of PyMongo so we will install directly from GitHub. There was one additional program that should have been downloaded in the project called validate. You should see three files at the highest level: Enter just the code, no spaces.

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If everything is working properly, you should be able to start the blog by typing: Now Go to http: The pymongo statements that you are going to add will add a new user to the database upon sign-up, and validate a login by retrieving the right user document. Note that this directions are identical to what we taught you within the lessons and you should already have PyMongo 3.

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mongodb homework 2.3

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: Please enter just the number, with no spaces, commas or other characters. You should not need to touch any other code.

mongodb homework 2.3

When you login or sign-up, the blog will redirect to http: Note that your blog must be running when you run the validator. Note that this project requires the following python modules be installed on your computer: The result should be Find all exam scores greater than or equal to 65, and sort those scores from lowest to highest.

Blog User Sign-up and Login Download the handout and unpack it.

mongodb homework 2.3