Thank you for viewing. This book is a Python textbook. I've only read it lightly, so it's practically unused. Please consider it. 【Overview】 This textbook covers the basics to advanced applications of data analysis using Python. In particular, it includes a wealth of practical exercises using Jupyter Notebook, making it suitable for a wide range of users, from beginners to intermediate learners. 【Table of Contents Details】 Each chapter starts with the basics of data analysis and progresses through Python fundamentals, data acquisition, preprocessing, visualization, statistical analysis, and machine learning. In particular, you can learn through practical projects, allowing you to acquire skills useful in real-world work. 【Target Audience】 This book is ideal for those who want to learn data analysis and are interested in programming with Python. - Title: Python Data Analysis Textbook - Authors: Toru Nakata, Naoki Tanaka, Yusuke Tanaka - ISBN: 978-4-7981-5174-1 - Accessories: Jupyter Notebook - Table of Contents: Chapter 1: Basics of Data Analysis Chapter 2: Python Fundamentals Chapter 3: Data Acquisition Chapter 4: Data Preprocessing Chapter 5: Data Visualization Chapter 6: Statistical Analysis Chapter 7: Machine Learning Chapter 8: Practical Data Analysis Thank you for viewing.