PDF Ebook The Healing of the Gods: The Magic of Symbols and the Practice of TheotherapyBy Peter Lemesurier

PDF Ebook The Healing of the Gods: The Magic of Symbols and the Practice of TheotherapyBy Peter Lemesurier

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The Healing of the Gods: The Magic of Symbols and the Practice of TheotherapyBy Peter Lemesurier

PDF Ebook The Healing of the Gods: The Magic of Symbols and the Practice of TheotherapyBy Peter Lemesurier

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What are symbols? Who invented them and why? How do they work? How can they be used as tools for self-healing and transformation? In The Healing of the Gods, Peter Lemesurier shows that the powerful symbolism of the ancient Greek gods is still alive in us all but today we call them our 'complexes' and 'neuroses'. Combining modern archetypal psychology with information culled from ancient records, the author presents an entirely original system of self-diagnosis and healing called 'theotherapy'. By learning to understand these powerful inner forces we can change our lives and become who we really are.

• Sales Rank: #2921043 in Books
• Brand: Brand: Element Books Ltd
• Published on: 1989-01
• Original language: English
• Number of items: 1
• Dimensions: 8.50" h x 5.50" w x .75" l,
• Binding: Paperback
• 215 pages

Features

• theotherapy
• archetypal psychology
• self-diagnosis
• inner forces
• self-healing

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Get Free Ebook Dialogue in Organizations: Developing Relational LeadershipBy M. Reitz

Get Free Ebook Dialogue in Organizations: Developing Relational LeadershipBy M. Reitz

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Dialogue in Organizations: Developing Relational LeadershipBy M. Reitz

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In politics, business and society, 'better' leadership and dialogue are seen as antidotes to the paradoxical issues of the modern world. This book illustrates how the compulsion for 'busyness', the assumptions about who leaders are and the adherence to implicitly-held cultural norms threaten the possibility of effective dialogue in organizations.

• Sales Rank: #3286144 in eBooks
• Published on: 2015-04-14
• Released on: 2015-04-14
• Format: Kindle eBook

About the Author

Megan Reitz is Director at Ashridge Business School, UK, where she teaches, supervises, consults and conducts research on issues relating to leadership and organizational dialogue. In addition, she runs her own consulting practice internationally. Prior to joining Ashridge, Megan worked in global professional services and in the internet retail industry.

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Free PDF Data Science and Complex Networks: Real Case Studies with PythonBy Guido Caldarelli, Alessandro Chessa

Free PDF Data Science and Complex Networks: Real Case Studies with PythonBy Guido Caldarelli, Alessandro Chessa

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Data Science and Complex Networks: Real Case Studies with PythonBy Guido Caldarelli, Alessandro Chessa

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This book provides a comprehensive yet short description of the basic concepts of Complex Network theory. In contrast to other books the authors present these concepts through real case studies. The application topics span from Foodwebs, to the Internet, the World Wide Web and the Social Networks, passing through the International Trade Web and Financial time series. The final part is devoted to definition and implementation of the most important network models.The text provides information on the structure of the data and on the quality of available datasets. Furthermore it provides a series of codes to allow immediate implementation of what is theoretically described in the book. Readers already used to the concepts introduced in this book can learn the art of coding in Python by using the online material. To this purpose the authors have set up a dedicated web site where readers can download and test the codes. The whole project is aimed as a learning tool for scientists and practitioners, enabling them to begin working instantly in the field of Complex Networks.

• Amazon Sales Rank: #726414 in Books
• Published on: 2016-11-15
• Original language: English
• Dimensions: 6.90" h x .50" w x 9.80" l, .0 pounds
• Binding: Hardcover
• 136 pages

Review "The authors nicely integrate ideas from data science and complex networks to create a toolkit for tackling big data challenges. An essential read in the information age." --Geoff F. Rodgers, Brunel University London, UK

"Data science and network science are two of the most dynamically developing areas in modern science. It is fantastic to see these two topics, whose synergy is evident to the practitioner, under one roof, presented with clarity and through numerous practical examples by Caldarelli and Chessa." --Albert-László Barabási, Northeastern University, USA

About the Author Guido Caldarelli, Full Professor in Theoretical Physics, IMT Institute for Advanced Studies Lucca, Italy,Alessandro Chessa, Researcher in Theoretical Physics, IMT Institute for Advanced Studies Lucca, ItalyGuido Caldarelli received his Ph.D. from SISSA (Italy), after which he was a postdoc in the University of Manchester (UK). He then worked at the TCM Group, University of Cambridge (UK), He returned to Italy as a lecturer at National Institute for Condensed Matter (INFM) and later as Primo Ricercatore in the Institute of Complex Systems of the National Research Council (CNR) of Italy. He also spent some terms at University of Fribourg (Switzerland) and he has been visiting professor at ENS in Paris, University of Barcelona and ETH Zurich. He is expert of Statistical Physics and Complex Networks and author of more than 150 publications and two books on the topic. He is currently oordinating the EC FET IP project Multiplex on Multi-level complex systems.Alessandro Chessa graduated in Physics and received a PhD in theoretical Physics at the University of Cagliari (Italy). From April 1999 to July 2000 he has been Research Associate in the Physics Department of Boston University, studying Econophysics. In the meantime he has also been Scientific Consultant at the International Center for Theoretical Physics (ICTP, Trieste) for a project about Parallel Computation. In the year 2012 he has been adjunct researcher in the Institute for Complex Systems (CNR) , 'La Sapienza' Rome, doing research in the field of Complex Network Theory. At present he is Assistant Professor in Statistical Physics in IMT, Institute of Advanced Studies, Lucca (Italy). Expert of Complex Networks and Data Science, has worked in the area of Community Detection for spatial networks. As entrepreneur is the founder of the SME Linkalab.

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