An example-rich, comprehensive guide for all of your Python computational needs About This Book Your ultimate resource for getting up and running with Python numerical computations Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts Who This Book Is For This book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed. What You Will Learn The principal syntactical elements of Python The most important and basic types in Python The essential building blocks of computational mathematics, linear algebra, and related Python objects Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results Define and use functions and learn to treat them as objects How and when to correctly apply object-oriented programming for scientific computing in Python Handle exceptions, which are an important part of writing reliable and usable code Two aspects of testing for scientific programming: Manual and Automatic In Detail Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more. Style and approach This book takes a concept-based approach to the language rather than a systematic introduction. It is a complete Python tutorial and introduces computing principles, using practical examples to and showing you how to correctly implement them in Python. You'll learn to focus on high-level design as well as the intricate details of Python syntax. Rather than providing canned problems to be solved, the exercises have been designed to inspire you to think about your own code and give you real-world insight.
Leverage this example-packed, comprehensive guide for all your Python computational needs Key FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing.Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing.Book Description Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. What you will learnUnderstand the building blocks of computational mathematics, linear algebra, and related Python objectsUse Matplotlib to create high-quality figures and graphics to draw and visualize resultsApply object-oriented programming (OOP) to scientific computing in PythonDiscover how to use pandas to enter the world of data processingHandle exceptions for writing reliable and usable codeCover manual and automatic aspects of testing for scientific programmingGet to grips with parallel computing to increase computation speedWho this book is for This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.
The important interaction between modeling and solution techniques is demonstrated by using a simplified multibody model of a truck thoughout the book to illustrate all key concepts.
This is the story of the young Adolf Hitler, an insignificant young man from provincial Austria who suddenly emerged as a momentous historical figure and ultimately the very personification of evil. How did that happen? To answer this question, the narrative takes the reader into the mind of the man before the monster. 150 pages of intriguing appendices substantiate the work's provenance. It tells the story of the seventeen-year-old school drop-out and starving artist; the vagrant who spends years on the streets and in the shelters of Vienna; the Lance Corporal who is fatefully changed by the First World War. In the aftermath of that Great War, amongst the ashes of a demoralised and bankrupt Germany, the narrative follows the bizarre series of events that culminate in this lonely and eccentric young man becoming 'The Fuhrer' of the Third Reich.
The important interaction between modeling and solution techniques is demonstrated by using a simplified multibody model of a truck thoughout the book to illustrate all key concepts.
The important interaction between modeling and solution techniques is demonstrated by using a simplified multibody model of a truck thoughout the book to illustrate all key concepts.
This collection brings together international scholars pursuing cutting-edge research on spatial identities under National Socialism. They demonstrate that the spatial identities of the Third Reich can be approached as a history of interrelated dimensions; Heimat, region and Empire were constantly reconstructed through this interrelationship.
In this WWII memoir, a Nazi soldier recounts his desperate retreat from Russia, offering rare insight into the collapse of Hitler’s Army Group Central. In June of 1944, the Red Army launched a massive offensive that crushed Hitler’s forces in Belarus. German soldiers who weren’t captured had to fight their way back towards their own lines across hundreds of miles of enemy territory. This is the story of one of them, Claus Neuber, a young artillery officer who describes in graphic detail his experiences during that great retreat. Neuber’s account carries the reader through the desperate defensive battles and rearguard actions fought to stem the relentless Soviet advance and breakout from the cauldrons between Minsk and the Beresina river. After almost seventy days as a fugitive, depending on the kindness of villagers, enduring extremes of cold, wet and hunger, Neuber found his way back to the German lines. This personal narrative, translated for the first time from the original German, gives a dramatic insight into the impact of the Soviet offensive and the disintegration of an entire German army. It vividly records in day-to-day detail the experience of such a bitter defeat.
The Sounds of Silent Films is a unique collection of investigatory and theoretical essays that, for the first time, unite up-to-date research on the complex historical performance practices of silent film accompaniment with in-depth analyses of relevant case studies.
Leverage this example-packed, comprehensive guide for all your Python computational needs Key FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing.Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing.Book Description Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. What you will learnUnderstand the building blocks of computational mathematics, linear algebra, and related Python objectsUse Matplotlib to create high-quality figures and graphics to draw and visualize resultsApply object-oriented programming (OOP) to scientific computing in PythonDiscover how to use pandas to enter the world of data processingHandle exceptions for writing reliable and usable codeCover manual and automatic aspects of testing for scientific programmingGet to grips with parallel computing to increase computation speedWho this book is for This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.
This study fills a large gap as most texts on Nazism in German society around 1933 concentrate on the country's western parts. This book deals with the problems caused by the constitutional monarchy, democracy, and dictatorship.
An example-rich, comprehensive guide for all of your Python computational needs About This Book Your ultimate resource for getting up and running with Python numerical computations Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts Who This Book Is For This book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed. What You Will Learn The principal syntactical elements of Python The most important and basic types in Python The essential building blocks of computational mathematics, linear algebra, and related Python objects Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results Define and use functions and learn to treat them as objects How and when to correctly apply object-oriented programming for scientific computing in Python Handle exceptions, which are an important part of writing reliable and usable code Two aspects of testing for scientific programming: Manual and Automatic In Detail Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more. Style and approach This book takes a concept-based approach to the language rather than a systematic introduction. It is a complete Python tutorial and introduces computing principles, using practical examples to and showing you how to correctly implement them in Python. You'll learn to focus on high-level design as well as the intricate details of Python syntax. Rather than providing canned problems to be solved, the exercises have been designed to inspire you to think about your own code and give you real-world insight.
A semi-autobiographical novel based on the author's experiences as a youth. The protagonist, Paul Berck, comes of age in Germany during World War II. Sent to the killing fields at sixteen, held captive long after VE Day, Paul makes a daring escape only to return to an uncertain future in his fragmented homeland.
The mechanics of similarity encompasses the analysis of dimensions, performed by various procedures, the gasdynamic similarity and the model technology. The analysis of dimensions delivers the dimensionless numbers by which specific physical challenges can be described with a reduced number of variables. Thereby the assessment of physical problems is facilitated. For fluid dynamics and all sorts of heat transfer the discipline of the mechanics of similarity was so important in the past, that the historical background is highlighted of all the persons who have contributed to the development of this discipline. The goal of the classical gasdynamic similarity was to find rules, which enables the aerodynamic engineer to perform transformations from existing flow fields to others, which meet geometrical and other specific flow field parameters. Most of these rules and findings do no longer play a role today, because a lot of potent experimental and theoretical/numerical methods are now available. This problem is addressed in the book. A recent investigation regarding the longitudinal aerodynamics of space vehicles has revealed, that there exist other astonishing similarities for hypersonic and supersonic flight Mach numbers. It seems, that obviously most of the longitudinal aerodynamics is independent from the geometrical configurations of the space vehicle considered, if a simple transformation is applied. A section of this book is devoted to these new findings.
Today Europe finds itself in a crisis that casts a dark shadow over an entire generation. The seriousness of the crisis stems from one core political contradiction at the heart of the European project: namely, that what urgently needs to be done is also extremely unpopular and therefore virtually impossible to do democratically. What must be done - and almost everyone agrees in principle on the measures that would be needed to deal with the financial crisis - cannot be sold to the voting public of the core member states, which so far have been less affected by the crisis than those on the periphery, nor can the conditions that core members try to impose be easily sold to voters in the deficit countries. The European Union is therefore becoming increasingly disunited, with deepening divides between the German-dominated ‘core’ and the southern ‘periphery’, between the winners and the losers of the common currency, between the advocates of greater integration and the anti-Europeans, between the technocrats and the populists. Europe finds itself trapped by the deepening divisions that are opening up across the Continent, obstructing its ability to deal with a crisis that has already caused massive social suffering in the countries of the European periphery and is threatening to derail the very project of the European Union. In this short book, Claus Offe brings into sharp focus the central political problem that lies at the heart of the EU and shackles its ability to deal with the most serious crisis of its short history.
At a time when so many cracks have emerged within the imagined community of ‘the West', this important new book, by one of the leading social scientists in Europe, examines the intellectual history of comparing Europe and the United States. Claus Offe considers the perspectives adopted by three of Europe’s greatest social scientists – Alexis de Tocqueville, Max Weber and Theodor W. Adorno – in their comparative writings on Europe. While traveling, studying and working in the US, all three constantly looked back to their European origins, trying to decipher from their American experience what the future may hold for Europe, be it for better or worse. Alexis de Tocqueville, the French aristocrat, observed the functioning of American democracy with a mix of admiration, envy and deep concerns about the fate of liberty in the ‘democratic age'. Max Weber, the German sociologist, reported enthusiastically about the youthful energy he found in the United States, which, however, he saw as gradually succumbing to the stifling tendencies of European bureaucratization. Theodor W. Adorno, the critical theorist and refugee from Nazi Germany, observed with a sense of despair the workings of the American ‘culture industry’ which he equated to the totalitarian experience of Europe, only to switch to a much more favorable picture upon his return to Germany. Europe and the US are conventionally assumed to share the same trajectory and develop according to some common pattern of ‘occidental rationalism', with the observed differences resulting from mere lags and relative advances on one side or the other. In this insightful book, Offe questions the relevance of this paradigm to transatlantic relations today.
The book provides an up-to-date overview of the history of aviation medicine and the development of medical requirements for licensing. Also the physiological foundation for flight, the physiology of the sensory organs, exposure to cosmic radiation, the preventative aspects of aviation medicine, the role of medical factors in accident investigation, and passenger health issues are covered.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.