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You're reading from  Time Series Analysis with Python Cookbook

Product typeBook
Published inJun 2022
PublisherPackt
ISBN-139781801075541
Edition1st Edition
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Tarek A. Atwan
Tarek A. Atwan
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Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.
Read more about Tarek A. Atwan

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Reading data from a document database (MongoDB)

MongoDB, a NoSQL database, stores data in documents and uses BSON (a JSON-like structure) to store schema-less data. Unlike relational databases, where data is stored in tables that consist of rows and columns, document-oriented databases store data in collections and documents.

A document represents the lowest granular level of data being stored, as rows do in relational databases. A collection, like a table in relational databases, stores documents. Unlike relational databases, a collection can store documents of different schemas and structures.

Getting ready

In this recipe, it is assumed that you have a running instance of MongoDB. To get ready for this recipe, you will need to install the PyMongo Python library to connect to MongoDB.

To install MongoDB using conda, run the following command:

$ conda install -c anaconda pymongo -y

To install MongoDB using pip, run the following command:

$ python -m pip install...
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Time Series Analysis with Python Cookbook
Published in: Jun 2022Publisher: PacktISBN-13: 9781801075541

Author (1)

author image
Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.
Read more about Tarek A. Atwan