Book Image

Python Data Analysis - Third Edition

By : Avinash Navlani, Ivan Idris
5 (1)
Book Image

Python Data Analysis - Third Edition

5 (1)
By: Avinash Navlani, Ivan Idris

Overview of this book

Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you’ll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You’ll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you’ll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you’ll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you’ll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data.
Table of Contents (20 chapters)
Section 1: Foundation for Data Analysis
Section 2: Exploratory Data Analysis and Data Cleaning
Section 3: Deep Dive into Machine Learning
Section 4: NLP, Image Analytics, and Parallel Computing

Lightweight access with sqllite3

SQLite is an open-source database engine. It offers various features such as faster execution, lightweight processing, serverless architecture, ACID compliance, less administration, high stability, and reliable transactions. It is the most popular and widely deployed database in the mobile and computer world. It is also known as an embedded relational database because it runs as part of your application. SQLite is a lighter database and does not offer full-fledged features. It is mainly used for small data to store and process locally, such as mobile and desktop applications. The main advantages of SQLite are that it is easy to use, efficient, and light, and can be embedded into the application.

We can read and write data in Python from the sqlite3 module. We don't need to download and install sqlite3 as it is already available in all the standard Python distributions. With sqlite3, we can either store the database in a file or keep it in RAM. sqlite3...