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This book is about the theology of Jean Vanier. Drawing from Vanier's writings, it situates Vanier's theological thinking on community, care, and what it means to be and become human in the context of "welcome." This book draws attention to how welcome, for Vanier, is a visible expression of genuine hospitality, friendship, and human growth, offering an alternative way of conceiving and naming the social forming dynamics within Christian community, with special attention given to how welcome occurs within the communities of L'Arche. At a deeper level, this book assesses Vanier's thinking on the place and role both the self and community play in welcoming the truth of reality as it is revealed and given within community in order to prepare the way for exploring how welcome is a sign of community life, the visible expression of individual and communal trust in God's providence, and a conduit of God's presence in the world.
International Original Characters Fiesta 2020 . Great characters design from various international artists such as from United Kingdom, United States of America, Belgium, Thailand, Indonesia, Argentina, Philippines, and The Czech Republic. I MADE MARTHANA YUSA, MARC DUCROW, FACUNDO MOYANO, IVAN JAŇKOV, ELISE CLAES, SYAFAAT AKBAR, TONI MASDIONO, HAYASHINOMURA, MICHAEL VANIER, ZULKARNAEN SIREGAR, ARRY LESMANA TAN, M. ULUL HAKIM, DHIMAS FEBRIAR SULIH, CHIN CHONGCHA, COLIN, TAHTA LAZUARDY BENU, THOMI AHA, MALENA BON, MICHAEL SEGA GUMELAR, ARCHANA UNIVERSA, ETERNAL-SHADOW-S. Need your original characters artwork get published in the next ICF publication? Send yours to: an1mage@an1mage.org the copyright still yours to keep. NFT version please follow this link https://an1mage.nft
Computational neuroscience is best defined by its focus on understanding the nervous systems as a computational device rather than by a particular experimental technique. Accordinlgy, while the majority of the papers in this book describe analysis and modeling efforts, other papers describe the results of new biological experiments explicitly placed in the context of computational issues. The distribution of subjects in Computation and Neural Systems reflects the current state of the field. In addition to the scientific results presented here, numerous papers also describe the ongoing technical developments that are critical for the continued growth of computational neuroscience. Computation and Neural Systems includes papers presented at the First Annual Computation and Neural Systems meeting held in San Francisco, CA, July 26--29, 1992.
Ruby on Rails is fast displacing PHP, ASP, and J2EE as the development framework of choice for discriminating programmers, thanks to its elegant design and emphasis on practical results. RailsSpace teaches you to build large-scale projects with Rails by developing a real-world application: a social networking website like MySpace, Facebook, or Friendster. Inside, the authors walk you step by step from the creation of the site's virtually static front page, through user registration and authentication, and into a highly dynamic site, complete with user profiles, image upload, email, blogs, full-text and geographical search, and a friendship request system. In the process, you learn how Rails ...
In Stalking the Holy, writer and scholar Michael W. Higgins explores the Roman Catholic pursuit of saint-making - the pre-eminent Christian model, he argues, with its elaborate features and arcane cast of players such as the relator and the promotor of the faith. He points out that if saints are not actually made so much as recognized by the Church, nevertheless this official recognition is a form of manufacture, involving motivation, expertise, and risk.
All You Need to Know, and Nothing You Don't, to Solve Real Problems with Python Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl i...
All You Need to Know, and Nothing You Don't, to Write JavaScript for the Web and Beyond JavaScript plays a key role in modern software development, not only because it is the only language that runs inside virtually all web browsers, but also because it has become widely used for back-end and general-purpose development as well. Although JavaScript is a big language, you don't need to learn "everything" about it to get started, just how to use it efficiently to solve real problems. In Learn Enough JavaScript to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you've never programmed before,...
All You Need to Know, and Nothing You Don't, to Create Ruby Programs, Gems, and Web Apps Programmers love Ruby for its elegance, power, and flexibility: that's why it was chosen for the Ruby on Rails framework that launched websites from Shopify to Coinbase. You'll love Ruby too, but you don't need to learn "everything" about it, just how to use it efficiently to solve real problems. In Learn Enough Ruby to Be Dangerous, renowned instructor Michael Hartl teaches the concepts, skills, and approaches you need to be professionally productive in both general-purpose programming and beginning web app development. Even if you're new to programming, Hartl helps you quickly build technical sophistic...
How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.
A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style. The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another. Starting from scratch, the reader is led through a complete implementation of a substantial application: a recognizer for noisy Morse code signals. Example-driven and highly accessible, The Little ...