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Python Data Analysis

You're reading from   Python Data Analysis Perform data collection, data processing, wrangling, visualization, and model building using Python

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Length 478 pages
Edition 3rd Edition
Languages
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Authors (2):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
Avinash Navlani Avinash Navlani
Author Profile Icon Avinash Navlani
Avinash Navlani
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries FREE CHAPTER 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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