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

Installing OpenCV

OpenCV is an open source library for computer vision operations such as image and video analysis. OpenCV is primarily developed by Intel in C++ and offers interfaces with Python, Java, and Matlab. OpenCV has the following features:

  • It is an open source image processing Python library.
  • OpenCV is the core Python library for image processing and computer vision.
  • OpenCV is easy to learn and deploy with web and mobile applications.
  • OpenCV in Python is an API and wrapper around its C++ core implementation.
  • It is fast due to background C++ code.

We can install OpenCV using the following command:

pip install opencv-python

Using the preceding pip command, we can easily install OpenCV. OpenCV is the most popular library for image processing and computer vision tasks. It offers various use cases related to image analysis operations such as improving image quality, filtering and transforming images, drawing on images, changing colors, detecting faces and objects, identifying...