An accessible, visual, and creative approach to teaching core coding concepts using Python's Processing.py, an open-source graphical development environment. This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context. Tristan Bunn’s remarkably effective teaching approach is designed to help you visualize core programming concepts while you make cool pictures, animations, and simulations using Python Mode for the open-source Processing development environment. Right from the first chapter, you'll produce and manipulate colorful drawings, shapes and patterns as Bunn walks you through a series of easy-to-follow graphical coding projects that grow increasingly complex. You’ll go from drawing with code to animating a bouncing DVD screensaver and practicing data-visualization techniques. Along the way, you’ll encounter creative-yet-practical skill-building challenges that relate to everything from video games, cars, and coffee, to fine art, amoebas, and Pink Floyd. As you grow more fluent in both Python and programming in general, topics shift toward the mastery of algorithmic thinking, as you explore periodic motion, Lissajous curves, and using classes to create objects. You’ll learn about: Basic coding theories and concepts, like variables, data types, pixel coordinates, control flow and algorithms Writing code that produces drawings, patterns, animations, data visualizations, user interfaces, and simulations Using conditional statements, iteration, randomness, lists and dictionaries Defining functions, reducing repetition, and making your code more modular How to write classes, and create objects to structure code more efficiently In addition to giving you a good grounding in general programming, the skills and knowledge you’ll gain in this book are your entry point to coding for an ever-expanding horizon of creative technologies.
An accessible, visual, and creative approach to teaching core coding concepts using Python's Processing.py, an open-source graphical development environment. This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context. Tristan Bunn’s remarkably effective teaching approach is designed to help you visualize core programming concepts while you make cool pictures, animations, and simulations using Python Mode for the open-source Processing development environment. Right from the first chapter, you'll produce and manipulate colorful drawings, shapes and patterns as Bunn walks you through a series of easy-to-follow graphical coding projects that grow increasingly complex. You’ll go from drawing with code to animating a bouncing DVD screensaver and practicing data-visualization techniques. Along the way, you’ll encounter creative-yet-practical skill-building challenges that relate to everything from video games, cars, and coffee, to fine art, amoebas, and Pink Floyd. As you grow more fluent in both Python and programming in general, topics shift toward the mastery of algorithmic thinking, as you explore periodic motion, Lissajous curves, and using classes to create objects. You’ll learn about: Basic coding theories and concepts, like variables, data types, pixel coordinates, control flow and algorithms Writing code that produces drawings, patterns, animations, data visualizations, user interfaces, and simulations Using conditional statements, iteration, randomness, lists and dictionaries Defining functions, reducing repetition, and making your code more modular How to write classes, and create objects to structure code more efficiently In addition to giving you a good grounding in general programming, the skills and knowledge you’ll gain in this book are your entry point to coding for an ever-expanding horizon of creative technologies.
Clear and accessible, Using an Inclusive Approach to Reduce School Exclusion supports an inclusive approach to teaching and learning to help schools find ways to reduce exclusion and plan alternative approaches to managing the pathways of learners at risk. Offering a summary of the contemporary context of DfE and school policy in England, this book considers: Statistics and perspectives from Ofsted The literature of exclusion and recent research into effective provision for learners with SEN The key factors underlying school exclusion Case studies and practical approaches alongside theory and research The impact of exclusion on learners at risk Written by experienced practitioners, Using an Inclusive Approach to Reduce School Exclusion encourages a proactive approach to reducing exclusion through relatable scenarios and case studies. An essential toolkit to support the development of inclusive practice and reduce exclusion, this book is an invaluable resource for SENCOs, middle and senior leaders.
Leveraging Latency explores how the weak coerce the strong with nuclear technology. Allies and adversaries alike can compel concessions from superpowers by threatening to acquire atomic weapons. When does nuclear latency-the technical capacity to build the bomb-enable states to pursue this coercive strategy? The conventional wisdom is that compellence with nuclear latency works when states are close to the bomb. But this intuitive notion is wrong. Tristan Volpe finds that more latency seldom translates into greater bargaining advantages. He reveals how coercion creates a tradeoff between making threats and assurances credible. States need just enough bomb-making capacity to threaten proliferation, but not so much that it becomes too difficult to promise nuclear restraint. The boundaries of this sweet spot align with the capacity to produce the fissile material at the heart of an atomic weapon. Historical studies of Japan, West Germany, North Korea, and Iran demonstrate that mere capacity to build atomic weapons can yield diplomatic dividends. As nuclear technology continues to cast a shadow over the global landscape, Leveraging Latency provides scholars and practitioners with a systematic assessment of its coercive utility. Volpe identifies a generalizable mechanism-the threat-assurance tradeoff-that explains why more power often makes compellence less likely to work. This framework illuminates how technology shapes broader bargaining dynamics and helps to refine policy options for inhibiting the spread of nuclear weapons"--
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