The Medieval Python

Medieval art survives today as fragments of larger works, usually displayed by historical period, geographic location, artistic medium, or iconographic theme. Fragmented Devotion is the first exhibiti

The fascinating story of the fortunes of one medieval family over the course of a century, from bestselling historians Frances and Joseph Gies.The Pastons were members of the English gentry—a ti

This magisterial book is an analysis of the course of Western intellectual history between A.D. 400 and 1400. The book is arranged in two parts: the first surveys the comparative modes of thought and

A study of the extent and distribution of Warwickshire's woodland assessing whether much of the country became `woodless' and considering whether the increase in arable land was at the expense of wood

In 1961 Georges Duby wrote what is still the best overview of European medieval rural history to date. Originally published in French and first translated into English in 1968, Rural Economy and Count

Recent scholarship concerning parish priests in medieval England, their professional training, and their daily pastoral work has produced a more complex and realistic picture of parish clergy in the H

In an attempt to reconstruct an elusive aspect of the medieval Chinese imagination, The Eminent Monk examines biographies of Chinese Buddhist monks, from the uncompromising ascetic to the unfathomable

Explores such aspects of medieval music theory as the influence of Pythagorean mathematics and musical thought, rhythm and meter, alphabetic notation, Hermann's major sixth, descant, counterpoint, har

In Sacred Trust: The Medieval Church as an Economic Firm, five highly respected economists advance the controversial argument that the story of the Roman Catholic Church in the Middle Ages is in large

Until now the advent of Western romantic love has been seen as a liberation from—or antidote to—ten centuries of misogyny. In this major contribution to gender studies, R. Howard Bloch demonstrates ho

Barbara A. Hanawalt's richly detailed account offers an intimate view of everyday life in Medieval England that seems at once surprisingly familiar and yet at odds with what many experts have told us.

'If not now, when?' Hillel, Pirke Avot, I 14. The text edition which I hereby submit to the reader has been my constant companion for much of the last nine odd years. But the relative stability of my

Henri Pirenne is best known for his provocative argument--known as the "Pirenne thesis" and familiar to all students of medieval Europe--that it was not the invasion of the Germanic tribes that destro

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming lan

Unleash the power of Python for your data analysis projects with For Dummies!Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and

"A chronological listing of the members of the British comedy group Monty Python, both as a group and individually. Coverage spans between 1969 (the year Monty Python's Flying Circus debuted) and 2012

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main conce

Learn Python—the fun and easy way—and get in the programming game today!Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than develo

If you want to learn how to program but don’t know where to start, this is the right book and the right language for you. From the first page, our unique self-paced approach will help you build compet

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the