Discover – Mind Games – Spring 2017
English | 92 pages | True PDF | 19 MB
It’s the only tunic pattern you’ll ever need! A graded bodice pattern with alternate neck plackets, collars, and sleeves provides many unique, ready-to-wear fashions. From everyday casual to preppy chic, boho, or glamorous, you’ll find the look that’s right for you. Well respected in the sewing industry for their pattern reviews and online garment challenges, Sarah Gunn and Julie Starr make the tunic accessible and exciting for those with basic sewing skills and beyond. Full size tear-out pattern included. Sizes XS-XXL (Bust measurement 33" – 47.5").
To effectively plan, implement, and evaluate Integrated Marketing Communications (IMC) programs, one must understand the overall marketing process, consumer behavior, and communications theory. Belch/Belch’s Advertising and Promotion: An Integrated Marketing Communications Perspective draws from the authors’ extensive research in advertising, consumer behavior, communications, marketing, sales promotion, and other fields to give students a basis for understanding the marketing communications process, how it influences consumer decision making, and how to develop promotional strategies.
Master the story of Anatomy & Physiology with Saladin’s Anatomy & Physiology: The Unity of Form and Function! Saladin’s A&P helps students make connections by telling a story that will intrigue, engage, and inspire them. Saladin expertly weaves together science, clinical applications, history and evolution of the body with vibrant photos and art to convey the beauty and excitement of the subject. A consistent set of chapter learning tools helps students identify and retain key concepts while the stunning visual program provides a realistic view of body structures and processes. Saladin’s text requires no prior knowledge of college chemistry or cell biology, and is designed for a two-semester A&P course.
The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?