An important modern exponent of Asian dance, Pandit Chitresh Das brought kathak to the United States in 1970. The North Indian classical dance has since become an important art form within the greater Indian diaspora. Yet its adoption outside of India raises questions about what happens to artistic practices when we separate them from their broader cultural contexts. A Guru's Journey provides an ethnographic study of the dance form in the San Francisco Bay Area community formed by Das. Sarah Morelli, a kathak dancer and one of Das's former students, investigates issues in teaching, learning, and performance that developed around Das during his time in the United States. In modifying kathak's form and teaching for Western students, Das negotiates questions of Indianness and non-Indianness, gender, identity, and race. Morelli lays out these issues for readers with the goal of deepening their knowledge of kathak aesthetics, technique, and theory. She also shares the intricacies of footwork, facial expression in storytelling, and other aspects of kathak while tying them to the cultural issues that inform the dance.

Quick solutions to frequently asked algorithm and data structure questions.Ê KEY FEATURESÊÊ _ Learn how to crack the Data structure and Algorithms Code test using the top 75 questions/solutions discussed in the book. _ Refresher on Python data structures and writing clean, actionable python codes. _ Simplified solutions on translating business problems into executable programs and applications. DESCRIPTIONÊ Python is the most popular programming language, and hence, there is a huge demand for Python programmers. Even if you have learnt Python or have done projects on AI, you cannot enter the top companies unless you have cleared the Algorithms and data Structure coding test. This book presents 75 most frequently asked coding questions by top companies of the world. It not only focuses on the solution strategy, but also provides you with the working code. This book will equip you with the skills required for developing and analyzing algorithms for various situations. This book teaches you how to measure Time Complexity, it then provides solutions to questions on the Linked list, Stack, Hash table, and Math. Then you can review questions and solutions based on graph theory and application techniques. Towards the end, you will come across coding questions on advanced topics such as Backtracking, Greedy, Divide and Conquer, and Dynamic Programming. After reading this book, you will successfully pass the python interview with high confidence and passion for exploring python in future. WHAT YOU WILL LEARN _ Design an efficient algorithm to solve the problem. _ Learn to use python tricks to make your program competitive. _ Learn to understand and measure time and space complexity. _ Get solutions to questions based on Searching, Sorting, Graphs, DFS, BFS, Backtracking, Dynamic programming. WHO THIS BOOK IS FORÊÊ This book will help professionals and beginners clear the Data structures and Algorithms coding test. Basic knowledge of Python and Data Structures is a must. TABLE OF CONTENTS 1. Lists, binary search and strings 2. Linked lists and stacks 3. Hash table and maths 4. Trees and graphs 5. Depth first search 6. Breadth first search 7. Backtracking 8. Greedy and divide and conquer algorithms 9. Dynamic programming

A popular well-graded series especially designed for school children the world over to know about the lives and teachings of the Sikh Gurus.

How sampling remade hip-hop over forty years, from pioneering superstar Grandmaster Flash through crate-digging preservationist and innovator Madlib Sampling—incorporating found sound and manipulating it into another form entirely—has done more than any musical movement in the twentieth century to maintain a continuum of popular music as a living document and, in the process, has become one of the most successful (and commercial) strains of postmodern art. Bring That Beat Back traces the development of this transformative pop-cultural practice from its origins in the turntable-manning, record-spinning hip-hop DJs of 1970s New York through forty years of musical innovation and reinvention. Nate Patrin tells the story of how sampling built hip-hop through the lens of four pivotal artists: Grandmaster Flash as the popular face of the music’s DJ-born beginnings; Prince Paul as an early champion of sampling’s potential to elaborate on and rewrite music history; Dr. Dre as the superstar who personified the rise of a stylistically distinct regional sound while blurring the lines between sampling and composition; and Madlib as the underground experimentalist and record-collector antiquarian who constantly broke the rules of what the mainstream expected from hip-hop. From these four artists’ histories, and the stories of the people who collaborated, competed, and evolved with them, Patrin crafts a deeply informed, eminently readable account of a facet of pop music as complex as it is commonly underestimated: the aesthetic and reconstructive power of one of the most revelatory forms of popular culture to emerge from postwar twentieth-century America. And you can nod your head to it.

Musical Rhythm in the Age of Digital Reproduction presents new insights into the study of musical rhythm through investigations of the micro-rhythmic design of groove-based music. The main purpose of the book is to investigate how technological mediation - in the age of digital music production tools - has influenced the design of rhythm at the micro level. Through close readings of technology-driven popular music genres, such as contemporary R&B, hip-hop, trip-hop, electro-pop, electronica, house and techno, as well as played folk music styles, the book sheds light on how investigations of the musical-temporal relationships of groove-based musics might be fruitfully pursued, in particular with regard to their micro-rhythmic features. This book is based on contributions to the project Rhythm in the Age of Digital Reproduction (RADR), a five-year research project running from 2004 to 2009 that was funded by the Norwegian Research Council.