Introducing Python

Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, Foundations of Statistics for Data Scientists: With R and Python is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modelling. The book assumes knowledge of basic calculus, so the presentation can focus on 'why it works' as well as 'how to do it.' Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.The book also introduces modern topics that do not normally appear in mathematical statistics texts but ar

Jazz Improvisation Using Simple Melodic Embellishment teaches fundamental concepts of jazz improvisation, highlighting the development of performance skills through embellishment techniques. Written with the college-level course in mind, this introductory textbook is both practical and comprehensive, ideal for the aspiring improviser, focused not on scales and chords but melodic embellishment. It assumes some basic theoretical knowledge and level of musicianship while introducing multiple techniques, mindful that improvisation is a learned skill as dependent on hard work and organized practice as it is on innate talent.This jargon-free textbook can be used in both self-guided study and as a course book, fortified by an array of interactive exercises and activities:musical examplesperformance exerciseswritten assignmentspractice gridsresources for advanced studyand more!Nearly all musical exercises-presented throughout the text in concert pitch and transposed in the appendices for E-fla