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Python Data Analysis - Third Edition

You're reading from  Python Data Analysis - Third Edition

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Pages 478 pages
Edition 3rd Edition
Languages
Authors (2):
Avinash Navlani Avinash Navlani
Profile icon Avinash Navlani
Ivan Idris Ivan Idris
Profile icon Ivan Idris
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries 3. NumPy and pandas 4. Statistics 5. Linear Algebra 6. Section 2: Exploratory Data Analysis and Data Cleaning
7. Data Visualization 8. Retrieving, Processing, and Storing Data 9. Cleaning Messy Data 10. Signal Processing and Time Series 11. Section 3: Deep Dive into Machine Learning
12. Supervised Learning - Regression Analysis 13. Supervised Learning - Classification Techniques 14. Unsupervised Learning - PCA and Clustering 15. Section 4: NLP, Image Analytics, and Parallel Computing
16. Analyzing Textual Data 17. Analyzing Image Data 18. Parallel Computing Using Dask 19. Other Books You May Enjoy

Reading and writing data from MongoDB

MongoDB is a document-oriented non-relational (NoSQL) database. It uses JSON-like notation, BSON (Binary Object Notation) to store the data. MongoDB offers the following features:

  • It is a free, open-source, and cross-platform database software.
  • It is easy to learn, can build faster applications, supports flexible schemas, handles diverse data types, and has the capability to scale in a distributed environment.
  • It works on concepts of documents.
  • It has a database, collection, document, field, and primary key.

We can read and write data in Python from MongoDB using the pymongo connector. For this connectivity purpose, we need to install MongoDB and the pymongo connector. You can download MongoDB from its official web portal: https://www.mongodb.com/download-center/community. PyMongo is a pure Python MongoDB client library that can be installed using pip:

pip install pymongo

Let's try database connectivity using pymongo:

# Import pymongo
import...
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