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Branding Bhakti
Author: Nicole Karapanagiotis
language: en
Publisher: Indiana University Press
Release Date: 2021-04-06
How do religious groups reinvent themselves in order to attract new audiences? How do they rebrand their messages and recast their rituals in order to make their followers more diverse? In Branding Bhakti, Nicole Karapanagiotis considers the new branding of the Hare Krishna Movement, or the International Society for Krishna Consciousness (ISKCON). Known primarily for their orange robes, shaved heads, ecstatic dancing on the streets, and exuberant Hindu-style temple worship, many contemporary ISKCON groups are radically reinventing their public presentation and their style of worship in order to attract a global audience to their movement. Karapanagiotis explores their innovative and complex approaches in both the United States and India by following three new ISKCON brands aimed at gathering new followers. Each is led by a world-renowned ISKCON guru and his global disciples, and each is promoted through a mix of digital and social media and the construction of an innovative "worship-scape." These new spaces trade ISKCON's traditional temples for corporate work-life balance programs, posh yoga studios, urban spiritual lounges, edgy mantra clubs/lofts, and rural meditative retreat facilities. Branding Bhakti not only investigates the methods the ISKCON movement uses to position itself for growth but also highlights devotees' painful and complicated struggles as they work to transform their shrinking, sectarian movement into one with global religious appeal.
Hybrid Animation
Artist imaginations continue to grow and stretch the boundaries of traditional animation. Successful animators adept and highly skilled in traditional animation mediums are branching out beyond traditional animation workflows and will often use multiple forms of animation in a single project. With the knowledge of 3D and 2D assets and the integration of multiple animation mediums into a single project, animators have a wealth of creative resources available for a project that is not limited to a specific animation medium, software package or workflow processs. Enhance a poignant scene by choosing to animate the scenic background in 2D while the main character is brought to life with 3D techniques. Balance the budget demands of a project by choosing to integrate a 2D or 3D asset to save time and expense. Choose which medium Hybrid Animation, learn the systematic development of the 2D and 3D assets and the issues surrounding choices made during the creative process.
Python Data Cleaning and Preparation Best Practices
Take your data preparation skills to the next level by converting any type of data asset into a structured, formatted, and readily usable dataset Key Features Maximize the value of your data through effective data cleaning methods Enhance your data skills using strategies for handling structured and unstructured data Elevate the quality of your data products by testing and validating your data pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionProfessionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, leading to valuable insights being missed that are difficult or impossible to obtain from structured data alone. To help you tackle these challenges, this book will take you on a journey through the upstream data pipeline, which includes the ingestion of data from various sources, the validation and profiling of data for high-quality end tables, and writing data to different sinks. You’ll focus on structured data by performing essential tasks, such as cleaning and encoding datasets and handling missing values and outliers, before learning how to manipulate unstructured data with simple techniques. You’ll also be introduced to a variety of natural language processing techniques, from tokenization to vector models, as well as techniques to structure images, videos, and audio. By the end of this book, you’ll be proficient in data cleaning and preparation techniques for both structured and unstructured data.What you will learn Ingest data from different sources and write it to the required sinks Profile and validate data pipelines for better quality control Get up to speed with grouping, merging, and joining structured data Handle missing values and outliers in structured datasets Implement techniques to manipulate and transform time series data Apply structure to text, image, voice, and other unstructured data Who this book is for Whether you're a data analyst, data engineer, data scientist, or a data professional responsible for data preparation and cleaning, this book is for you. Working knowledge of Python programming is needed to get the most out of this book.