Written for students who have had little to no experience in computer programming, A Comprehensive Introduction to Python: From the Basics to Data Analytics covers not only the syntax and structure of the Python programming language but fundamental computer programming concepts that are the same across all programming languages. It also prepares students to use Python competently and confidently for data analytics. The book’s chapters focus on individual topics and are progressive in nature, continuously building on the topics covered in previous chapters. The first two-thirds of the book covers the basic data structures and constructs in Python, and the final third focuses on using Python for plotting, data analytics, and creating data dashboards. Each chapter explains the many concepts covered in that chapter and provides students with a programming example to demonstrate the implementation of each concept in Python. Chapter summaries, keywords, and problems reinforce the material and allow students the opportunity to practice what they’ve learned. The revised first edition features updates to code and clarified language in select chapters. In Chapter 15, there is fresh information on Streamlit reflecting updates in that module. A Comprehensive Introduction to Python provides students with an accessible, complete guide to learning a valuable and in-demand programming language. It well equips readers with the knowledge they need for career opportunities in project management, data analysis, and program development.
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