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Python Data Analysis, Second Edition

You're reading from   Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 3. The Pandas Primer 4. Statistics and Linear Algebra 5. Retrieving, Processing, and Storing Data 6. Data Visualization 7. Signal Processing and Time Series 8. Working with Databases 9. Analyzing Textual Data and Social Media 10. Predictive Analytics and Machine Learning 11. Environments Outside the Python Ecosystem and Cloud Computing 12. Performance Tuning, Profiling, and Concurrency A. Key Concepts
B. Useful Functions C. Online Resources

SQLAlchemy


SQLAlchemy is renowned for its object-relational mapping (ORM) based on a design pattern, where Python classes are mapped to database tables. In practice, this means that an extra abstraction layer is added, so we use the SQLAlchemy API to talk to the database instead of issuing SQL commands. SQLAlchemy takes care of the details behind the scenes. The drawback is that you have to learn the API, and may have to pay a small performance penalty. In this section, you will learn how to set up SQLAlchemy, and populate and query databases with SQLAlchemy.

Installing and setting up SQLAlchemy

The following is the command to install SQLAlchemy:

$ pip3 install sqlalchemy

The latest version of SQLAlchemy at the time of writing is 1.1.4. The download page for SQLAlchemy is available at http://www.sqlalchemy.org/download.html, with links to installers and code repositories. SQLAlchemy also has extensive documentation available at http://www.sqlalchemy.org/library.html.

SQLAlchemy requires us...

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