How to create a database and collection using PyMongo
How to populate a collection with documents
How to query a collection
Data plays a crucial role in application development. It plays such a crucial role that there are people called Database Administrators that specialize in just organizing the data. The traditional database used to be, and often still is, a relational database. MongoDB is more flexible than a relational database, and as such provides the developer with a database that can easily be changed during the development phase. The increased popularity of MongoDB combined with the popularity of Python has resulted in a Python library called PyMongo, which provides an API for communicating with MongoDB. In this course, you will create a Python application, using PyMongo, that creates a MongoDB database containing words and their definitions. You will then retrieve data from the collection and display a selected Word’s definition. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Read the CSV file into a JSON-style List Data Structure
Create the Database and Collection using PyMongo
Populate the Collection with Documents using insert_one and insert_many
Query the Collection using find_one and find
Updating the Collection
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Great course for intermediate programmers and to some extent for beginners of python users can help and add valuable skills for database field using python.
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