Apprenez à coder en Python avec les 101 cartes de ce coffret pédagogique. Classées par thèmes (instructions conditionnelles, fonctions, classes, tests...), ces cartes présentent les concepts et la syntaxe de Python, avec au recto des questions et au verso les réponses illustrées par de nombreux exemples.
Portant sur la version 3.x du langage Python, qui est au programme du lycée, ce coffret peut s'utiliser en classe, en ateliers, à la bibliothèque, ou à la maison.
Most of the 23 million American men who lift weights do so to get bigger; unfortunately, many of them are going nowhere with watered-down bodybuilding routines that don't help them actually get stronger. Eric Cressey's cutting-edge four-phase program, featuring constant progression, variation, and inspiring goals, keeps you focused on increasing strength along with muscle mass, helping you achieve the fittest, most energetic, and best-looking body you've ever had-with fewer hours at the gym.
This book provides a snapshot of the state of the art of the rapidly evolving field of integration of geometric data in finite element computations. The contributions to this volume, based on research presented at the UCL workshop on the topic in January 2016, include three review papers on core topics such as fictitious domain methods for elasticity, trace finite element methods for partial differential equations defined on surfaces, and Nitsche's method for contact problems. Five chapters present original research articles on related theoretical topics, including Lagrange multiplier methods, interface problems, bulk-surface coupling, and approximation of partial differential equations on moving domains. Finally, two chapters discuss advanced applications such as crack propagation or flow in fractured poroelastic media. This is the first volume that provides a comprehensive overview of the field of unfitted finite element methods, including recent techniques such as cutFEM, traceFEM, ghost penalty, and augmented Lagrangian techniques. It is aimed at researchers in applied mathematics, scientific computing or computational engineering.