Data Processing in Python. Data Wrangling and Data Quality

This book is dedicated to data preprocessing (Data Wrangling) in Python and assessing their quality (Data Quality). The material contains fundamental concepts, expert advice, and resources necessary for preprocessing, extracting, assessing, and analyzing data. All topics are revealed through simple and illustrative examples from practice. It provides the necessary and sufficient information about the Python programming language 3.8+ for reading, writing, and transforming data from various sources, as well as processing data on a large scale. Best practices for documenting and structuring code are provided. It describes data collection from files, web pages, and APIs. Techniques for conducting basic statistical analysis of datasets are considered, as well as visual and compelling ways to visualize and present data. The presentation is aimed at both beginners in data processing and professionals. The electronic archive on the publisher's website contains color illustrations for the book.