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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

PonyORM

PonyORM is a powerful ORM package that is written in pure Python. It is fast and easy to use and performs operations with minimum effort. It provides automatic query optimization and a GUI database schema editor. It also supports automatic transaction management, automatic caching, and composite keys. PonyORM uses Python generator expressions, which are translated in SQL. We can install it using pip:

$ pip install pony

Let's see an example of ORM using pony:

# Import pony module
from pony.orm import *

# Create database
db = Database()

# Define entities
class Emp(db.Entity):
eid = PrimaryKey(int,auto=True)
salary = Required(int)

# Check entity definition
show(Emp)

# Bind entities to MySQL database
db.bind('mysql', host='localhost', user='root', passwd='12345', db='employee')

# Generate required mappings for entities
db.generate_mapping(create_tables=True)

# turn on the debug mode
sql_debug(True)

# Select the records from Emp entities...
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