Python for Data & Analytics introduces essential programming concepts using Python, pandas, and other packages for the purpose of accessing data and performing analyses, and developing applications. The presentation presumes no prior programming experience. It is designed for introductory and more advanced programming courses in a data analytics, information systems, or business program. To this end, business examples are emphasized throughout. Various topics often covered in a computer-science-oriented course are purposefully not included in this textbook including topics like recursion and sorting algorithms. Edition 2.0 has been updated to provide coverage of more key topics (e.g., web APIs, simulation, NumPy, Matplotlib ), as well as "In Brief" appendixes allowing accelerated coverage of certain topics (lists, dictionaries, reading files).