MONGODB M101P HOMEWORK 2.3

Blog User Sign-up and Login Download the handout and unpack it. The dataset contains 4 scores each for students. The templates comprise the view. Note that this directions are identical to what we taught you within the lessons and you should already have PyMongo 3. Find all exam scores greater than or equal to 65, and sort those scores from lowest to highest.

Enter just the code, no spaces. Now it’s your turn to analyze the data set. 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: Sunday, January 22, [Solution] Week 2: 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:

There is also a views directory which contains the templates for the project.

mongodb m101p homework 2.3

There is a dump of the video database included in the handouts for the “Creating Documents” lesson. There homewor also a views directory which contains the templates for the project.

There was one additional program that should have been downloaded in the project called validate. You should see three files at the highest level: Which of the choices below is the title of a movie from the year that is rated PG and won no monvodb

mongodb m101p homework 2.3

Since each document is one grade, it should remove one document per student. Note that this project requires the following python modules be installed on your computer: Note that this directions are identical to what we taught you within the lessons and you should already have PyMongo 3. Homeork of this recording, we are still using the beta version of PyMongo so we will install directly from GitHub.

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Now it’s your turn to analyze the data set. If you got it right, it will provide a validation code for you to enter into the box below. Once you have the the project working, the following homesork should work: The correct result will be: In this problem, you will be using a collection of student scores that is similar to mongodbb we used in the lessons.

We have removed two pymongo statements from userDAO.

It should redirect you to the welcome page and say: Please query the video. Now let us find the student who holds the st best grade across all grades: You should not .23 to touch any other code. 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.

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Blog User Sign-up and Login Download the handout and unpack it. The dataset contains 4 scores each for students. If everything is working properly, you should be able to start the blog by typing: Note that your blog must be running when you run the validator.

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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. Use that data set to answer this question. The pymongo statements that you are going to add will add a new user mnogodb the database upon sign-up, and validate a login by retrieving the right user document.

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. When you login or sign-up, the blog will redirect to http: MongoDB for Developers Homework 2. First, let’s confirm your data is intact; the number of documents should be If not, use the following commands.

mongodb m101p homework 2.3

The blog stores its data in the blog database in two collections, users and sessions. If you have python installed at all, you probably already have most of these installed except pymongo and bottle.