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

Color models

Color models are a structure for processing and measuring the combination of primary colors. They help us to explain how colors will display on the computer screen or on paper. Color models can be of two types: additive or subtractive. Additive models are used for computer screens, for example, the RGB (red, green, and blue) model, and subtractive models are used for printing images, for example, the CMYK (cyan, magenta, yellow, and black) model:

There are lots of models other than RGB and CMYK, such as HSV, HSL, and Gray Scale. HSV is an acronym for hue, saturation, and value. It is a three-dimensional color model, which is an improved version of the RGB model. In the HSV model, the top of the center axis is white, the bottom is black, and the remaining colors lie in between. Here, the hue is the angle, saturation is the distance from the center axis, and value is the distance from the bottom of the axis.

HSL is an acronym for hue, saturation, and lightness. The main difference...