“…Build robust and performant applications by developing SvelteKit applications using automated testing and TDD techniques, including unit and end-to-end testing, custom matchers, component mocking, and authentication Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand and master the test-driven development (TDD) workflow Explore the principles of unit testing with Vitest and end-to-end testing using Playwright and Cucumber.js Leverage practical examples of unit tests covering a range of SvelteKit framework features Book Description Svelte is a popular front-end framework used for its focus on performance and user-friendliness, and test-driven development (TDD) is a powerful approach that helps in creating automated tests before writing code. …”

“…This bestselling, comprehensive guide is your best, one-stop, go-to guide for everything you'll need to master AutoCAD. Whether you're an AutoCAD veteran exploring what's new or a novice seeking to start with the basics and progress to advanced programming, every feature is covered. …”

“…Guided by examples that demonstrate effortless customization entirely suited to your preferences, you'll master the design tools, patterns, and full site editing capabilities to shape impactful websites that mirror your distinct vision and creativity. …”

“…Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python Key Features Grasp the principles of data centricity and apply them to real-world scenarios Gain experience with quality data collection, labeling, and synthetic data creation using Python Develop essential skills for building reliable, responsible, and ethical machine learning solutions Purchase of the print or Kindle book includes a free PDF eBook Book Description In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. …”

Tabla de Contenidos: “…: Little Houses On the Prairie and the Cultural Politics of White Colonial Settlement in the United States -- Introduction -- Methodology -- Little Houses and the U.S. Master Historical Narrative -- Walking in Laura's Footsteps: The Homesites' History -- Indigenous Resurgence, New Western Historiography, and Culture Wars -- Wilder's Stories and the New West Histories -- Little Houses in the Classroom and Library -- Wilder Homesites, the New West Histories, and Culture Wars -- Conclusion -- Notes -- References -- 11 Popular Music Heritage in Ekaterinburg: From Seeking Authorisation and Nostalgia for Soviet Rock to Participatory Place-Making -- Popular Music Heritage Between Fan Communities and Cultural Economy -- Ekaterinburg -- Methodology -- Sverdlovsk Rock: Authorisation and Contested Memorial Sites -- Nostalgic Exploration of the City Through Soviet Rock Music History -- Celebrating Internationally Famous Musicians in Ekaterinburg -- Playful and Affective Practices: Paying Tribute, Performing, Taking Pictures -- Conclusion -- Note -- References -- 12 Negotiating Dark and Light Magic: Witch-Themed Tourism in Harz, Germany, in a Transcultural Context -- Introduction -- Literature Review -- Witch-themed Tourism and Media of the Harz Region -- Witch-themed Tourism in Salem and a Critical Consideration of Dark Tourism -- Methodology -- Findings…”

“…To enhance your robot further, you’ll master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. …”

“…Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you. …”

Tabla de Contenidos:

Tabla de Contenidos:

Tabla de Contenidos: “…Unser erstes Programm -- Programmieren in einer Arduino-Umgebung -- setup() -- Konzept EEPROM -- Konzept TIMER/Ticker -- loop() -- Vom Programm zum Board -- Der CAN-Bus -- Der Blick aufs Ganze -- Der Basisdecoder -- ESP-NOW als Alternative zum WLAN -- Der Decoder startet eine Wifi-Session im AP-Mode mit der eigenen MAC-­Adresse und dem Präfix »CNgrSLV« -- Der Decoder initialisiert sein ESP-NOW-System -- Den Master hinzufügen -- Nach Erhalt einer Quittung sind die Decoder empfangsbereit -- PING -- SWITCH_ACC -- BlinkAlive -- Die Decoder senden ihre PING-Antwort -- Die Decoder senden Konfigurationsdaten -- CONFIG_STATUS -- SYS_CMD/SYS_STAT -- Zusammenfassung -- Der Weichendecoder -- Festlegen der Weichenadressen -- Die Empfangsroutine -- Das Stellen der Servos -- Die Ausladung -- Zusammenfassung -- Der Formsignaldecoder -- Der LED-Signaldecoder -- Der Lichtdecoder -- Der Gleisbesetztmelder -- Die CANguru-Bridge -- Die CANguru-Bridge registriert Wifi-Sender mit dem Präfix »CNgrSLV« als eigene Clients -- Eine Quittung an die Clients geben -- Vom CANguru-Server den Frame 0x88 empfangen und mit 0x89 antworten -- Die Kommunikation der CANguru-Bridge -- Die CANguru-Bridge meldet sich über Telnet im Ausgabefenster des CANguru-Servers -- Die CANguru-Bridge empfängt die Datei »lokomotive.cs2« vom CANguru-Server -- Die CANguru-Bridge startet die Gleisbox -- Die CANguru-Bridge sendet einen PING an die Decoder -- Der CANguru-Server verfolgt die Übertragung der Konfigurationsdaten -- Wenn alle Decoder sich gemeldet haben, kommt die Meldung »Start WDP« -- Zusammenfassung -- Der CANguru-Server -- Der CANguru-Server sendet einen CAN-Frame mit Cmd 0x88 -- Der CANguru-Server trägt die IP-Adresse der CANguru-Bridge in das Feld oben links ein -- Der CANguru-Server empfängt die PING-Antworten der Decoder -- Der CANguru-Server baut eine Liste der Decoder auf…”

Tabla de Contenidos: “…Intro -- Introduction -- Contents -- Contributors -- Chapter 1: Quality and Standards for Haematopoietic Stem Cells Transplantation Programs -- Quality -- Standards -- Impact -- Conclusion -- References -- Chapter 2: Development of Organizational Quality Management System -- References -- Chapter 3: Document Development, Implementation, Review, Archive, and Disposal -- General -- Start -- Workflow -- Responsibilities -- Duplication of Requirements Between Different Quality Systems -- ICT Systems and Paper Documents -- Education and Document Management -- JACIE on Document Management -- Chapter 4: Audits -- General Concepts -- Definition and Purpose -- Scope -- Types of Audits -- Auditor Requirements -- How to Perform Internal Audit: The Steps of an Internal Audit -- Audit Calendar -- Audit Plan -- Conducting the Audit -- Closing -- Audit Report -- Actions -- Communication of the Result of Internal Audits -- References -- Chapter 5: Qualification and Validation -- Glossary -- Validation Process (Fig. 5.2) -- Example of Documents and Registration Forms for Validation -- Validation Master Plan (VMP) -- Validation Study -- References -- Chapter 6: Outcome Analysis -- What Is Outcome Analysis? …”

Tabla de Contenidos: “…Transfer pricing documentation - Master file -- Annex II to Chapter V. Transfer pricing documentation - Local file -- Annex III to Chapter V. …”

Tabla de Contenidos:

Tabla de Contenidos: “…-- Creating your basic network profile -- Automation of network services using Ansible -- Summary -- Chapter 4: Link Aggregation Creation - Creating Your Own Link and Mastering the Networking Domain -- Technical requirements -- Setting up GitHub access -- Setting up your lab environment for Network Interface Card (NIC) teaming -- Getting to know link aggregation…”

Tabla de Contenidos: “…Advantages -- Disadvantages -- Principles of monkey patching for data observability -- Wrapping the function -- Consolidating the findings -- Pros and cons of the monkey patching method -- Advanced techniques for data observability - distributed tracing -- Summary -- Chapter 4: Data Observability Elements -- Technical requirements -- Prerequisites and installation requirements -- Kensu - a data observability framework -- kensu-py - an overview of the monkey patching technique -- Static and dynamic elements -- Defining the data observability context -- Application or process -- Code base -- Code version -- Project -- Environment -- User -- Timestamp -- The application run -- Getting the metadata of the data sources -- Data source -- Schema -- Mastering lineage -- Types of lineage and dependencies -- Lineage run -- What's in the log? …”

Tabla de Contenidos: “…Implementation in TensorFlow -- Deep belief networks -- Summary -- Chapter 5: Image Recognition -- Similarities between artificial and biological models -- Intuition and justification -- Convolutional layers -- Stride and padding in convolutional layers -- Pooling layers -- Dropout -- Convolutional layers in deep learning -- Convolutional layers in Theano -- A convolutional layer example with Keras to recognize digits -- A convolutional layer example with Keras for cifar10 -- Pre-training -- Summary -- Chapter 6: Recurrent Neural Networks and Language Models -- Recurrent neural networks -- RNN - how to implement and train -- Backpropagation through time -- Vanishing and exploding gradients -- Long short term memory -- Language modeling -- Word-based models -- N-grams -- Neural language models -- Character-based model -- Preprocessing and reading data -- LSTM network -- Training -- Sampling -- Example training -- Speech recognition -- Speech recognition pipeline -- Speech as input data -- Preprocessing -- Acoustic model -- Deep belief networks -- Recurrent neural networks -- CTC -- Attention-based models -- Decoding -- End-to-end models -- Summary -- Bibliography -- Chapter 7: Deep Learning for Board Games -- Early game playing AI -- Using the min-max algorithm to value game states -- Implementing a Python Tic-Tac-Toe game -- Learning a value function -- Training AI to master Go -- Upper confidence bounds applied to trees -- Deep learning in Monte Carlo Tree Search -- Quick recap on reinforcement learning -- Policy gradients for learning policy functions -- Policy gradients in AlphaGo -- Summary -- Chapter 8: Deep Learning for Computer Games -- A supervised learning approach to games -- Applying genetic algorithms to playing games -- Q-Learning -- Q-function -- Q-learning in action -- Dynamic games -- Experience replay -- Epsilon greedy…”

Tabla de Contenidos: “…Solution 2: Create a student master table; 2.15.3. Discussion; 2.16. Finding Complements of Sets with Different Universes; 2.16.2. …”

Tabla de Contenidos: “…AGP; 11.1 Introduction; 11.2 PCI and AGP; 11.3 Bus transactions; 11.4 Pin description; 11.5 AGP master configuration; 11.6 Bus commands; 11.7 Addressing modes and bus operations; 11.8 Register description; 11.9 Exercises; 11.10 Notes from the author; Chapter 12. …”

Tabla de Contenidos: “…6.3.2 Iteration statements6.3.3 Structured text programs; Problems; 7 Internal relays; 7.1 Internal relays; 7.2 Ladder programs; 7.2.1 Programs with multiple input conditions; 7.2.2 Latching programs; 7.3 Battery-backed relays; 7.4 One-shot operation; 7.5 Set and reset; 7.5.1 Program examples; 7.6 Master control relay; 7.6.1 Examples of programs; Problems; 8 Jump and call; 8.1 Jump; 8.1.1 Jumps within jumps; 8.2 Subroutines; Problems; 9 Timers; 9.1 Types of timers; 9.2 Programming timers; 9.2.1 Sequencing; 9.2.2 Cascaded timers; 9.2.3 On-off cycle timer; 9.3 Off-delay timers; 9.4 Pulse timers…”

Tabla de Contenidos: “…SOA Values; 4.8.4. Multiple Master Servers; 4.9. Adding More Zones; 4.10. What&s Next?…”