This well-illustrated book unites essayists and emerging architectural practices to examine how digital tools are increasingly being used in architectural design, not only to show form, structure and geometries but also to visualize and simulate energies and material qualities such as air, gas, sound, scent and electricity. Softspace takes stock of current advancements in design and research, while drawing on historical and ideological trajectories rooted in the past fifty years. The varied contributors examine the capabilities of such 'energy matters' to act as catalysts for design innovation today. This well-presented and impressively authored title will provoke architects of all levels to consider the potential for creative and innovative design through the use of digital design tools.
Flexible housing is housing that can adjust to the changing needs of the user and accommodate new technologies as they emerge. Flexible Housing by Jeremy Till and Tatjana Schneider examines the past, present and future of this important subject through over 160 international examples. Specially commissioned plans, printed to scale, together with over 200 illustrations and diagrams provide fascinating detail and allow direct visual comparisons to be made. Combining history, theory and design the book explains the social and economic benefits that can be achieved and shows the various ways it has been and can be delivered. The book ends with an accessible guide to how flexible housing might be designed and constructed today to achieve adaptable and ultimately sustainable buildings. Housing designers, housing managers and students of architecture, construction and housing will find this book of immense value both as a comprehensive reference and design manual.
This book offers Python programmers one place to look when they needhelp remembering or deciphering the syntax of this open source languageand its many powerful but scantily documented modules. Thiscomprehensive reference guide makes it easy to look up the mostfrequently needed information--not just about the Python languageitself, but also the most frequently used parts of the standard libraryand the most important third-party extensions. Ask any Python aficionado and you'll hear that Python programmers haveit all: an elegant object-oriented language with readable andmaintainable syntax, that allows for easy integration with componentsin C, C++, Java, or C#, and an enormous collection of precoded standardlibrary and third-party extension modules. Moreover, Python is easy tolearn, yet powerful enough to take on the most ambitious programmingchallenges. But what Python programmers used to lack is a concise andclear reference resource, with the appropriate measure of guidance inhow best to use Python's great power. Python in aNutshell fills this need. Python in a Nutshell, Second Edition covers morethan the language itself; it also deals with the mostfrequently used parts of the standard library, and the most popular andimportant third party extensions. Revised and expanded forPython 2.5, this book now contains the gory details of Python's newsubprocess module and breaking news about Microsoft's newIronPython project. Our "Nutshell" format fits Python perfectly bypresenting the highlights of the most important modules and functionsin its standard library, which cover over 90% of your practicalprogramming needs. This book includes: A fast-paced tutorial on the syntax of the Python language An explanation of object-oriented programming in Python Coverage of iterators, generators, exceptions, modules,packages, strings, and regular expressions A quick reference for Python's built-in types and functionsand key modules Reference material on important third-party extensions,such as Numeric and Tkinter Information about extending and embedding Python Python in a Nutshell provides a solid,no-nonsense quick reference to information that programmers rely on themost. This book will immediately earn its place in any Pythonprogrammer's library. Praise for the First Edition: "In a nutshell, Python in a Nutshell serves oneprimary goal: to act as an immediately accessible goal for the Pythonlanguage. True, you can get most of the same core information that ispresented within the covers of this volume online, but this willinvariably be broken into multiple files, and in all likelihood lackingthe examples or the exact syntax description necessary to trulyunderstand a command." --Richard Cobbett, Linux Format "O'Reilly has several good books, of which Python in aNutshell by Alex Martelli is probably the best for giving yousome idea of what Python is about and how to do useful things with it." --Jerry Pournelle, Byte Magazine
This collection of essays is concerned with the experiences children have within the supervised worlds they inhabit, as well as with architecture and landscape architecture. International examples of innovative childcare practice are illustrated together with the design processes which informed their development. The emphasis here is on new and experimental childcare projects which set-out to reassert the rights of children to participate in a complex multi-faceted world, which is no longer available to them, unless under adult supervision. Research supports in depth recommendations regarding the ideal children's environment, across a range of contexts and dimensions. Until recent times, the needs of children within the urban environment were largely ignored. There is little tradition and no broadly agreed contemporary architectural or landscape theory as to how children should be provided for, beyond a limited functional agenda. There is a sense that architecture for childhood is not taken seriously; it is either whimsical and ephemeral or largely designed for adults, an adjunct to the more important business of adult needs and aspirations. Yet children access much of their education and development through play and social interaction with their childhood counterparts. The spaces in and around children"s daycare centres, schools, supervised parks and other dedicated children"s environments are the subject of this collection. As more and more purpose designed buildings and gardens for children are opened, the need to listen to children and their carers is becoming more aparant. Mark Dudek gathers together a number of internationally recognized experts in the field of childcare environments to write about different aspects of the landscape. They have been chosen in particular because of their background in enquiring, research orientated work, both theoretical and practical. They listen to and watch children. Contributors have considered the child"s environment as one which is secure and controlled yet offers additional environmental dimensions which extend developmental possibilities. Children often spend a great deal of time in daycare facilties and schools, as parents are absorbed in their own work and leisure activities. This places an emphasis on architects and planners to consider the needs of children in great detail. As such, the children"s environment must be conceived of as a rich, complex place; a "world within a world". We use the word LANDSCAPE in recognition that children do not differentiate between the inside and the outside, private and public; every part of their perception is open to stimulation by a stimulating environment.
ThePython Cookbookis a collection of problems, solutions, and practical examples for Python programmers, written by Python programmers. Over the past year, members of the Python community have contributed material to an online repository of Python recipes hosted by ActiveState. This book contains the best of those recipes, accompanied by overviews and background material by key Python figures. The recipes in thePython Cookbookrange from simple tasks, such as working with dictionaries and list comprehensions, to entire modules that demonstrate templating systems and network monitoring. This book contains over 200 recipes on the following topics: Searching and sorting Manipulating text Working with files and the filesystem Object-oriented programming Dealing with threads and processes System administration Interacting with databases Creating user interfaces Network and web programming Processing XML Distributed programming Debugging and testing Extending Python This book is a treasure trove of useful code for all Python programmers, from novices to advanced practitioners, with contributions from such Python luminaries as Guido Van Rossum, David Ascher, Tim Peters, Paul Prescod, Mark Hammond, and Alex Martelli, as well as over 100 other Python programmers. The recipes highlight Python best practices and can be used directly in day-to-day programming tasks, as a source of ideas, or as a way to learn more about Python. The recipes in thePython Cookbookwere edited by David Ascher, who is on the board of the Python Software Foundation and is the co-author ofLearning Python,and Alex Martelli, who is known for his numerous and exhaustive postings on the Python mailing list. The book contains a foreword by Guido van Rossum, the creator of Python.
This text is an introduction to the world of the python. This book encapsulates rich practical hands-on experience in developing python based applications, combined with teaching the subject for graduate/post-graduate students. The book is therefore a culmination of putting together what has been both practiced as well as preached, which is the one of the most compelling differentiators for this book. It can also be used for independent study by anyone interested in getting a broad introduction to a core useful set of the python language. Python For Learners provides all essential programming concepts and information one shall need in order to start developing their own Python program. The book provides a comprehensive walk-through of Python programming in a clear, straightforward manner that beginners will appreciate. Important concepts are introduced through a step-by-step discussion and reinforced by relevant examples and illustrations. This book can be used as a guide to help explore, harness, and gain appreciation of the capabilities and features of Python. My approach in this book is to regard python as a language that readers will want to use as a primary tool in many different areas of their programming work - not just for creating programs with graphical content. Nevertheless, i recognize that visual examples are much more fun to create and work with. This book is a close-to-complete presentation of the Python language. It is oriented toward learning, which involves accumulating many closely intertwined concepts. In our experience teaching, coaching and doing programming, there is an upper limit on the clue absorption rate. In order to keep within this limit, i have found that it helps to present a language as ever-expanding layers. Well lead you from a very tiny, easy to understand subset of statements to the entire Python language and all of the built-in data structures. ● Ajit Singh
This is a great book for Python Beginner and Advanced Learner which covers Basics to Advanced Python Programming where each topic is explained with the help of Illustrations and Examples. More than 450 solved programs of this book are tested in Python 3.4.3 for windows. The range of Python Topics covered makes this book unique which can be used as a self study material or for instructor assisted teaching. This books covers Python Syllabus of all major national and international universities. Also it includes frequently asked questions for interviews and examination which are provided at the end of each chapter.
This book 'Introduction to Computing and Problem Solving with Python' will help every student,teacher and researcher to understand the computing basics and advanced PythonProgramming language. The Python programming topics include the reserved keywords,identifiers, variables, operators, data types and their operations, flowcontrol techniques which include decision making and looping, modules, filesand exception handling techniques. Advanced topics like Python regularexpressions, Database Programming and Object Oriented Programming concepts arealso covered in detail. All chapters have worked out programs, illustrations,review and frequently asked interview questions. The simple style of presentationmakes this a friend for self-learners. More than 300 solved lab exercisesavailable in this book is tested in Python 3.4.3 version for Windows. The book covers syllabus for more than 35 International Universities and45 Indian universities like Dr. APJ Abdul Kalam Technological University,Christ University, Savitribai Phule Pune University, University of Delhi, University of Calicut, Mahatma Gandhi University, University of Mumbai, AICTE, CBSE, MIT, University of Virginia, University of Chicago, University of Toronto, Technical University of Denmark etc.
This edited volume examines the implications of COVID-19 on distance and online learning, discussing how the move to online teaching and learning modes proved to be a source of immense institutional, organizational, and educational challenges. With chapters grounded in theoretical and methodological approaches pertinent to education and pedagogy, the book explores the relevance of theory to the educational situation brought about by the pandemic and highlights the specific issues and challenges that distance learning has to account for in crisis situations. Key topics discussed include innovations and best practices in online learning, research, and management; developments in computer-supported collaborative learning, training, and research; the use of intelligent tutoring and mentoring systems in times of crisis; the role of university leadership and users’ perceptions and attitudes to online teaching and learning. The book offers fresh insights into the specificity of distance learning in a pandemic and its effects in established working patterns. It will be highly relevant reading for academics, researchers, and post-graduate students in the fields of online learning, distance learning, educational technology, and pedagogy, as well as university administrators and those directly involved in online teaching.
