Book Image

Python Data Analysis - Second Edition

By : Ivan Idris
Book Image

Python Data Analysis - Second Edition

By: Ivan Idris

Overview of this book

Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.
Table of Contents (22 chapters)
Python Data Analysis - Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Key Concepts
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...