gitforgits feb 2025 (9 Ergebnisse)

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 130 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is packed with hands-on recipes that will empower you to overcome any real-world challenge you face when building, debugging, and deploying Laravel applications. There are so many advanced routing and controller patterns to explore, from dynamic URL parameters to resource controllers and custom JSON APIs. You'll be amazed at how your application responds precisely to user requests.You'll implement Laravel Breeze for user authentication, craft RBAC with middleware, add social logins via Socialite, and enforce two-factor authentication with Fortify against unauthorized access. With server-side validation, you can create custom validation rules with clear feedback, centralize exception handling, and set up real-time error monitoring with Laravel Pulse. You'll also learn to automate critical workflows-configuring queue drivers and background jobs, retrying failed tasks, scheduling recurring operations, and backing up databases and media. Once you do, you'll be able to automate analytical reporting, from custom shell scripts to scheduled generation of performance-insight summaries. And you'll tie it all into Laravel's Scheduler and Linux cron.In this book, you'll find ready-to-use solutions to the scenarios you face day to day. Whether you're dealing with broken migrations, N+1 queries, authentication gaps, missing alerts, or sluggish jobs, this book has you covered. It addresses the most common pain points in Laravel development without claiming to cover every possible edge case. Instead, it gives you proven recipes that let you focus on building features, confident that you have reliable fixes at your fingertips.Key LearningsAchieve mastery of the Linux-based Laravel setup: Let's dive into the world of PHP installation, Composer, file permissions, and IDE configuration!Build dynamic routes, resource controllers, and Blade views for robust request handling.Protect your applications with Breeze authentication, role-based middleware, Socialite logins, and two-factor auth.Discover the magic of Eloquent models, one-to-many and many-to-many relationships, migrations, and seed realistic test data.Optimize database performance using eager loading, selective column queries, and proper indexing strategies.Take advantage of server-side validation, custom rules, and centralized exception handling for unparalleled data integrity.Keep an eye on errors in real time with the amazing Laravel Pulse, Debugbar, and Telescope dashboards.Offload your heavy tasks with ease using job queues, retry strategies, and Laravel Scheduler automation.Securely store, process, resize, and stream media using Laravel filesystem and Intervention Image.Automate backups, generate analytical reports, and integrate custom shell scripts with Laravel commands.Table of ContentSetting up PHP and Laravel EnvironmentAdvanced Routing, Controllers, and Blade ViewsAuthentication and Authorization PracticesDatabase Models, Migrations, and Query OptimizationRobust Data Validation and Error ManagementAlerts, Notifications, and Performance MonitoringJob Queues and Background ProcessesFile Storage, Media Management, and ProcessingScheduling, Automation, and Backup Tasks 150 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Key Learnings 322 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 198 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -If you're a Python pro looking to get the most out of your code with GPUs, then Practical GPU Programming is the right book for you. This book will walk you through the basics of GPU architectures, show you hands-on parallel programming techniques, and give you the know-how to confidently speed up real workloads in data processing, analytics, and engineering.The first thing you'll do is set up the environment, install CUDA, and get a handle on using Python libraries like PyCUDA and CuPy. You'll then dive into memory management, kernel execution, and parallel patterns like reductions and histogram computations. Then, we'll dive into sorting and search techniques, but with a focus on how GPU acceleration transforms business data processing. We'll also put a strong emphasis on linear algebra to show you how to supercharge classic vector and matrix operations with cuBLAS and CuPy. Plus, with batched computations, efficient broadcasting, custom kernels, and mixed-library workflows, you can tackle both standard and advanced problems with ease.Throughout, we evaluate numerical accuracy and performance side by side, so you can understand both the strengths and limitations of GPU-based solutions. The book covers nearly every essential skill and modern toolkit for practical GPU programming, but it's not going to turn you into a master overnight.Key LearningsBoost processing speed and efficiency for data-intensive tasks.Use CuPy and PyCUDA to write and execute custom CUDA kernels.Maximize GPU occupancy and throughput efficiency by using optimal thread block and grid configuration.Reduce global memory bottlenecks in kernels by using shared memory and coalesced access patterns.Perform dynamic kernel compilation to ensure tailored performance.Use CuPy to carry out custom, high-speed elementwise GPU operations and expressions.Implement bitonic and radix sort algorithms for large or batch integer datasets.Execute parallel linear search kernels to detect patterns rapidly.Scale matrix operations using Batched GEMM and high-level cuBLAS routines.Table of ContentIntroduction to GPU FundamentalsSetting up GPU Programming EnvironmentBasic Data Transfers and Memory TypesSimple Parallel PatternsIntroduction to Kernel OptimizationWorking with PyCUDA and CuPy FeaturesPractical Sorting and SearchLinear Algebra Essentials on GPULibri GmbH, Europaallee 1, 36244 Bad Hersfeld 130 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is packed with hands-on recipes that will empower you to overcome any real-world challenge you face when building, debugging, and deploying Laravel applications. There are so many advanced routing and controller patterns to explore, from dynamic URL parameters to resource controllers and custom JSON APIs. You'll be amazed at how your application responds precisely to user requests.You'll implement Laravel Breeze for user authentication, craft RBAC with middleware, add social logins via Socialite, and enforce two-factor authentication with Fortify against unauthorized access. With server-side validation, you can create custom validation rules with clear feedback, centralize exception handling, and set up real-time error monitoring with Laravel Pulse. You'll also learn to automate critical workflows-configuring queue drivers and background jobs, retrying failed tasks, scheduling recurring operations, and backing up databases and media. Once you do, you'll be able to automate analytical reporting, from custom shell scripts to scheduled generation of performance-insight summaries. And you'll tie it all into Laravel's Scheduler and Linux cron.In this book, you'll find ready-to-use solutions to the scenarios you face day to day. Whether you're dealing with broken migrations, N+1 queries, authentication gaps, missing alerts, or sluggish jobs, this book has you covered. It addresses the most common pain points in Laravel development without claiming to cover every possible edge case. Instead, it gives you proven recipes that let you focus on building features, confident that you have reliable fixes at your fingertips.Key LearningsAchieve mastery of the Linux-based Laravel setup: Let's dive into the world of PHP installation, Composer, file permissions, and IDE configuration!Build dynamic routes, resource controllers, and Blade views for robust request handling.Protect your applications with Breeze authentication, role-based middleware, Socialite logins, and two-factor auth.Discover the magic of Eloquent models, one-to-many and many-to-many relationships, migrations, and seed realistic test data.Optimize database performance using eager loading, selective column queries, and proper indexing strategies.Take advantage of server-side validation, custom rules, and centralized exception handling for unparalleled data integrity.Keep an eye on errors in real time with the amazing Laravel Pulse, Debugbar, and Telescope dashboards.Offload your heavy tasks with ease using job queues, retry strategies, and Laravel Scheduler automation.Securely store, process, resize, and stream media using Laravel filesystem and Intervention Image.Automate backups, generate analytical reports, and integrate custom shell scripts with Laravel commands.Table of ContentSetting up PHP and Laravel EnvironmentAdvanced Routing, Controllers, and Blade ViewsAuthentication and Authorization PracticesDatabase Models, Migrations, and Query OptimizationRobust Data Validation and Error ManagementAlerts, Notifications, and Performance MonitoringJob Queues and Background ProcessesFile Storage, Media Management, and ProcessingScheduling, Automation, and Backup TasksLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 150 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book's got a bunch of handy recipes for data science pros to get them through the most common challenges they face when using Python tools and libraries. Each recipe shows you exactly how to do something step-by-step. You can load CSVs directly from a URL, flatten nested JSON, query SQL and NoSQL databases, import Excel sheets, or stream large files in memory-safe batches.Once the data's loaded, you'll find simple ways to spot and fill in missing values, standardize categories that are off, clip outliers, normalize features, get rid of duplicates, and extract the year, month, or weekday from timestamps. You'll learn how to run quick analyses, like generating descriptive statistics, plotting histograms and correlation heatmaps, building pivot tables, creating scatter-matrix plots, and drawing time-series line charts to spot trends. You'll learn how to build polynomial features, compare MinMax, Standard, and Robust scaling, smooth data with rolling averages, apply PCA to reduce dimensions, and encode high-cardinality fields with sparse one-hot encoding using feature engineering recipes.As for machine learning, you'll learn to put together end-to-end pipelines that handle imputation, scaling, feature selection, and modeling in one object, create custom transformers, automate hyperparameter searches with GridSearchCV, save and load your pipelines, and let SelectKBest pick the top features automatically. You'll learn how to test hypotheses with t-tests and chi-square tests, build linear and Ridge regressions, work with decision trees and random forests, segment countries using clustering, and evaluate models using MSE, classification reports, and ROC curves. And you'll finally get a handle on debugging and integration: fixing pandas merge errors, correcting NumPy broadcasting mismatches, and making sure your plots are consistent.Key LearningsYou can load remote CSVs directly into pandas using read_csv, so you don't have to deal with manual downloads and file clutter.Use json_normalize to convert nested JSON responses into simple tables, making it a breeze to analyze.You can query relational and NoSQL databases directly from Python, and the results will merge seamlessly into Pandas.Find and fill in missing values using IGNSA(), forward-fill, and median strategies for all of your data over time.You can free up a lot of memory by turning string columns into Pandas' Categorical dtype.You can speed up computations with NumPy vectorization and chunked CSV reading to prevent RAM exhaustion.You can build feature pipelines using custom transformers, scaling, and automated hyperparameter tuning with GridSearchCV.Use regression, tree-based, and clustering algorithms to show linear, nonlinear, and group-specific vaccination patterns.Evaluate models using MSE, R , precision, recall, and ROC curves to assess their performance.Set up automated data retrieval with scheduled API pulls, cloud storage, Kafka streams, and GraphQL queries.Table of ContentData Ingestion from Multiple SourcesPreprocessing and Cleaning Complex DatasetsPerforming Quick Exploratory AnalysisOptimizing Data Structures and PerformanceFeature Engineering and TransformationBuilding Machine Learning PipelinesImplementing Statistical and Machine Learning TechniquesDebugging and TroubleshootingAdvanced Data Retrieval and IntegrationLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 144 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This handy book will get you up and running with Arduino and ESP32 in no time, teaching you how to think, design, and build real-world IoT applications. You'll start by exploring the Uno and ESP32 boards, identifying pins, and powering sensors and LEDs. Then, you get the Arduino IDE up and running, handle libraries and flags, and learn how to write, upload, and debug sketches.You'll be working on building some key C++ skills, like handling data types, loops, functions, and classes, and you'll be doing all of this without getting stuck. Then you move on to sensors, where you're reading digital and analog signals, calibrating measurements, scaling values, and filtering noise. You'll be driving I2C and SPI displays for clear visual feedback. Next, we'll dive into camera modules, where you'll learn how to wire an OV7670 or ESP32-CAM, capture and compress images, save them to SPIFFS or SD, and run basic image analysis. There are wireless chapters that teach Wi-Fi, HTTPS with JSON, MQTT messaging, Bluetooth LE vs Classic, and token-based security.Later on, you'll find chapters about Cloud and low-power stuff, like JSON building, AWS IoT Core connections, live dashboards with WebSockets and Node-RED, Google Sheets logging, and deep sleep with batched updates. And the final projects really tie it all together: a temperature monitor that notifies the cloud, an OLED QR-code generator, an ethical Wi-Fi jamming demo, and an RTC alarm clock with mobile notifications. All of our projects combine wiring, code, networking, and power management, so you'll gain real-world IoT skills without claiming total mastery.Key LearningsUse Uno and ESP32 pins for sensors, power, and communication.Set up Arduino IDE, boards, libraries, and compile flags effectively.Use C++ to create efficient programs with loops, functions, and classes. Also use non-blocking timing.Read, calibrate, and filter the sensor data to get accurate measurements.Get clear visual feedback by driving I2C/SPI displays with Adafruit GFX.Capture and process images using OV7670 or ESP32-CAM modules.Enable Wi-Fi, HTTPS, MQTT, and Bluetooth for secure IoT communication.Combine AWS IoT and Node-RED to create real-time data dashboards.Log to Google Sheets and extend your battery life with deep sleep.Build projects like cloud alerts, QR codes, Wi-Fi jamming, and RTC alarms.Table of ContentUNO & ESP32 OverviewArduino IDE & ToolchainC++ Fundamentals for SketchesDigital & Analog SensorsDisplays & User InterfacesCamera & Image HandlingWiFi & Bluetooth NetworkingIoT Protocols & CloudSmart IoT ProjectsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 322 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 198 pp. Englisch.