Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming. The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You´ll see how to process signals and images, carry out calculations using linear algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home. What You Will Learn Discover the essentials of supercomputing Build a low-cost cluster of Raspberry Pis at home Harness the power of parallel programming and the Message Passing Interface (MPI) Use your Raspberry Pi for symbolic, numerical, and scientific programming Who This Book Is For Python 3 developers who seek the knowledge of parallel programming, Raspberry Pi enthusiasts, researchers, and the scientific Python community.
Gibt es PHP auch in schon? Ja! Mit Laravel. Laravel wurde 2014 nicht ohne Grund als das zukunftstrachtigste PHP-Framework ausgezeichnet. Von Jahr zu Jahr gewinnt es an Beliebtheit. In diesem Buch zeigen Anton Porsche und Marc Heiduk einige Grundlagen im Umgang mit dem PHP-Framework. Bereits nach kurzer Lektüre wird Ihnen klar sein, wieso Laravel so einfach und doch machtig ist und wieso Sie nie mehr etwas Anderes nutzen werden.
Simple Network Management Protocol (SNMP) provides a ´´simple´´ set of operations that allows you to more easily monitor and manage network devices like routers, switches, servers, printers, and more. The information you can monitor with SNMP is wide-ranging--from standard items, like the amount of traffic flowing into an interface, to far more esoteric items, like the air temperature inside a router. In spite of its name, though, SNMP is not especially simple to learn. O´Reilly has answered the call for help with a practical introduction that shows how to install, configure, and manage SNMP. Written for network and system administrators, the book introduces the basics of SNMP and then offers a technical background on how to use it effectively. Essential SNMP explores both commercial and open source packages, and elements like OIDs, MIBs, community strings, and traps are covered in depth. The book contains five new chapters and various updates throughout. Other new topics include: * Expanded coverage of SNMPv1, SNMPv2, and SNMPv3 * Expanded coverage of SNMPc * The concepts behind network management and change management * RRDTool and Cricket * The use of scripts for a variety of tasks * How Java can be used to create SNMP applications * Net-SNMP´s Perl module The bulk of the book is devoted to discussing, with real examples, how to use SNMP for system and network administration tasks. Administrators will come away with ideas for writing scripts to help them manage their networks, create managed objects, and extend the operation of SNMP agents. Once demystified, SNMP is much more accessible. If you´re looking for a way to more easily manage your network, look no further than Essential SNMP, 2nd Edition.
A basic primer for all employees on using Lean Six Sigma to meet your company´s goals and your customers´ needs Lean Six Sigma combines the two most important and popular quality trends of our time: Six Sigma and Lean Production. In this plain-English guide, you´ll discover how this remarkable quality improvement method will help you identify and eliminate waste, cut costs and grow revenue, enhance your job skills, and even make work more meaningful.What is Lean Six Sigma? reveals why companies are implementing this strategy, and walks you through the foundations of Lean Six Sigma, explaining the ´´four keys´´ and how they apply to your own job:Delight your customers with speed and quality Improve your processes Work together for maximum gain Base decisions on data and facts Featuring charts, diagrams, and case studies of teams who have used these methods to improve their workplace, What is Lean Six Sigma? tells you what you need to know to make this strategy a success in your organization.
This concise reference helps readers avoid the most commonplace errors in generating or interpreting engineering drawings. Applicable across multiple disciplines, Hanifan´s lucid treatment of such essential skills as understanding and conveying data in a drawing, exacting precision in dimension and tolerance notations, and selecting the most-appropriate drawing type for a particular engineering situation, ´´Perfecting Engineering and Technical Drawing´´ is an valuable resource for practicing engineers, engineering technologists, and students. Provides straightforward explanation of the requirements for all common engineering drawing types Maximizes reader understanding of engineering drawing requirements, differentiating the types of drawings and their particular characteristics Elucidates electrical reference designation requirements, geometric dimensioning, and tolerancing errors Explains the entire engineering documentation process from concept to delivery
This book features papers from CEPE-IACAP 2015, a joint international conference focused on the philosophy of computing. Inside, readers will discover essays that explore current issues in epistemology, philosophy of mind, logic, and philosophy of science from the lens of computation. Coverage also examines applied issues related to ethical, social, and political interest. The contributors first explore how computation has changed philosophical inquiry. Computers are now capable of joining humans in exploring foundational issues. Thus, we can ponder machine-generated explanation, thought, agency, and other quite fascinating concepts. The papers are also concerned with normative aspects of the computer and information technology revolution. They examine technology-specific analyses of key challenges, from Big Data to autonomous robots to expert systems for infrastructure control and financial services. The virtue of a collection that ranges over philosophical questions, such as this one does, lies in the prospects for a more integrated understanding of issues. These are early days in the partnership between philosophy and information technology. Philosophers and researchers are still sorting out many foundational issues. They will need to deploy all of the tools of philosophy to establish this foundation. This volume admirably showcases those tools in the hands of some excellent scholars.
This conference proceedings summarizes invited publications from the two IDES (Institute of Doctors Engineers and Scientists) International conferences, both held in Bangalore/ India.
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.
An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience. Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You´ll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time. As you make your way through the book´s extensive tutorials, you´ll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You´ll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode. You´ll also learn how to: - Make and use effective decorators and methods, including abstract, static, and class methods - Employ Python for functional programming using generators, pure functions, and functional functions - Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs - Apply dynamic performance analysis to identify bottlenecks in your code - Work with relational databases and effectively manage and stream data with PostgreSQL If you´ve been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python!
Die theoretische Informatik ist für viele Studierende ein Schreckgespenst, weil formale Einstiegshürden die Bezüge zur Praxis verschleiern. In diesem Lehrbuch wird das Theoretische aufgerollt, wie es ursprünglich entstanden ist: zur Lösung ganz praktischer Probleme. So ergeben sich Formalismen als logische Notwendigkeit, mathematische Eigenarten werden greifbar, komplexe Theorien verlieren ihren Schrecken. Radikal studierendenorientiert führt das Buch in Automatentheorie, Grammatiken, Berechenbarkeits- und Komplexitätstheorie ein. Die Autoren erhielten 2013 gemeinsam den Fakultätslehrpreis für herausragende Lehre am Karlsruher Institut für Technologie (KIT). Lukas König studierte Informatik an der Universität Stuttgart und promovierte 2014 am Institut für angewandte Informatik und formale Beschreibungsverfahren (AIFB) des KIT. Derzeit forscht er zum Einsatz computergestützter Methoden im Informatikunterricht. Friederike Pfeiffer-Bohnen studierte Wirtschaftsingenieurwesen am KIT. Am Institut AIFB promoviert sie derzeit im Bereich Hochschuldidaktik mit Schwerpunkt eLearning. Im Jahr 2016 erlangte sie das Baden-Württemberg-Zertifikat für Hochschuldidaktik. Hartmut Schmeck hat seit 1991 eine Professur am Institut AIFB des KIT. Er forscht und lehrt über Algorithmen und Architekturen, in den letzten Jahren vor allem für selbstorganisierende, adaptive Systeme mit Anwendungen in Energie- und Verkehrssystemen.
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe Gain the fundamentals of deep learning with mathematical prerequisites Discover the practical considerations of large scale experiments Take deep learning models to production Who This Book Is For Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.
Der Erfolg des beliebten Content-Management-Systems WordPress gründet sich maßgeblich auf seiner leichten Erweiterbarkeit durch Plugins. Erst mit Plugins können die Funktionen einer WordPress-Webseite beliebig erweitert werden. Dieses Buch richtet sich an Entwicklerinnen und Entwickler, die sich kurz und bündig über alle relevanten Themen rund um die Plugin-Entwicklung für WordPress informieren wollen. Es setzt dabei allein etwas Erfahrung im Umgang mit WordPress sowie hinreichende Kenntnisse in der Programmiersprache PHP voraus. Das Buch beginnt mit dem Aufbau von WordPress-Plugins. Es wird beschrieben, wie sich diese Plugins in WordPress integrieren und wie sie dabei die mächtige WordPress-API für sich nutzen können. Ausführlich wird auf die verschiedenen Möglichkeiten eingegangen, wie Plugins in den Administrationsbereich einer WordPress-Installation eingebunden werden können. Viel Wert wird auch auf das wichtige Thema Sicherheit gelegt und wie WordPress-Plugins gegen Angriffe von außen geschützt werden können. Und schließlich wird ausführlich beschrieben, wie selbst geschriebene WordPress-Plugins veröffentlicht werden können, um sie der weltweiten Gemeinschaft von WordPress-Nutzern zur Verfügung zu stellen.