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

Lightweight access with sqlite3


SQLite is a very popular relational database. It's very lightweight and used by many applications, for instance, web browsers such as Mozilla Firefox. Most of the apps in Android use SQLite as a data store.

The sqlite3 module in the standard Python distribution can be used to work with an SQLite database. With sqlite3, we can either store the database in a file or keep it in RAM. For this example, we will do the latter. Import sqlite3 as follows:

import sqlite3

A connection to the database is needed to proceed. If we wanted to store the database in a file, we would provide a filename. Instead, do the following:

with sqlite3.connect(":memory:") as con:

The with statement is standard Python and relies on the presence of a __exit__() method in a special context manager class. With this statement, we don't need to explicitly close the connection. The connection is automatically closed by the context manager. After connecting to a database, we need a cursor, that...