“…ko Hevery, Creator of AngularJS and Angular Angular is the modern framework you need to build performant and robust web applications. This book is the quickest way to upgrade your AngularJS knowledge to the brave new world of Angular, and get grips with the framework. …”

“…Learn the best practices on writing efficient jQuery applications to maximize performance in large-scale deployments About This Book Learn about the observer pattern and the deferred observer pattern, two of the most popular design patterns that handle custom events Advance your jQuery skills by learning about patterns such as divide and conquer, facade, and builder and factory to handle complex results This step-by-step guide to applying micro-patterns and optimizing jQuery applications will help you get the best performance in a production environment Who This Book Is For This step-by-step guide to applying micro-patterns and optimizing jQuery applications will help you get the best performance in a production environment What You Will Learn Respond to user actions Achieve greater flexibility and code decoupling Have a central point for emitting and receiving application level events Structure the application into small independent modules Structure the application into small independent modules Isolate the procedure of generating complex parts of the application Efficiently orchestrate asynchronous procedures using jQuery Deferred and Promises Utilize the most widely-used client-side templating libraries for more complex use cases In Detail jQuery is a feature-rich JavaScript library that makes HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a variety of browsers. …”

“…Build efficient, high-speed programs using the high-performance NumPy mathematical library…”

Tabla de Contenidos: “…Build phasesAlternative build servers; Collating quality measures; About build status visualization; Taking build errors seriously; Robustness; Summary; Chapter 6: Testing the Code ; Manual testing; Pros and cons with test automation; Unit testing; JUnit in general and JUnit in particular; A JUnit example; Mocking; Test Coverage; Automated integration testing; Docker in automated testing; Arquillian; Performance testing; Automated acceptance testing; Automated GUI testing; Integrating Selenium tests in Jenkins; JavaScript testing; Testing backend integration points; Test-driven development…”

“…After a quick introduction to cloud architecture and an understanding of the importance of performing cloud control assessments, you'll quickly get to grips with navigating AWS, Azure, and GCP cloud environments. …”

“…Proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Game Performance -- Measuring Game Performance -- Inspecting the Game Performance -- The GameTime Class -- Controlling the Game's FPS Settings -- Using Object Pools -- Conclusion -- Chapter 2: The Content Pipeline Tool -- The Content Pipeline Tool -- The Content Importer -- The Content Processor -- The Content Writer -- The Content Reader -- Extending the Content Pipeline Tool -- Creating a Pipeline Extension -- Adding Logic to Your Extension -- Loading and Saving Assets -- Adding Animations to the Content Pipeline -- Creating the XML Template -- Creating the TurnLeft Animation Asset -- Internationalizing Game Text -- Conclusion -- Chapter 3: Cameras and Layers -- Cameras -- How Cameras Work -- Adding a Camera to Your Game -- Making the Camera Travel Up with the Player -- Conclusion -- Chapter 4: Level Editor -- MonoGame.Forms -- How the Editor Works -- Creating the GameEditor Project -- Installing MonoGame.Forms -- Creating the MonoGame Control -- Asset Management -- Using a Better Set of Tiles and Game Objects -- The MonoGameControl Class -- Building Your Editor -- Setting the Stage -- Adding a Camera -- Using an Atlas for Your Ground Tiles -- Adding, Moving, and Removing Objects from Levels -- Drawing Items on the Screen -- Adding Game Events -- Conclusion -- Chapter 5: Scripting -- What Is Scripting? …”

“…International Conference on Performance Engineering 2016 : proceedings of the 2016 Association for Computing Machinery/SPEC International Conference on Performance Engineering : March 12-16, 2016, Delft, Netherlands…”

“…Proceedings of Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing 2015…”

“…Improving the performance of your employees involves one of the hardest challenges in the known universe: changing the way they think. …”

“…How to choose the best investments according to price, performance, and valuation to build a winning portfolio…”

“…What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is for This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. …”

Tabla de Contenidos: “…Hands-On Web Scraping with Python: Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others…”

Tabla de Contenidos: “…Table of Contents Metrics That Matter Plan, Track, and Visualize Your Work Teamwork and Collaborative Development Asynchronous Work: Collaborate from Anywhere Influence of Open and Inner Source on Software Delivery Performance Automation with GitHub Actions Running Your Workflows Managing Dependencies Using GitHub Packages Deploying to Any Platform Feature Flags and the Feature Lifecycle Trunk-Based Development Shift Left Testing for Increased Quality Shift-Left Security and DevSecOps Securing Your Code Securing Your Deployments Loosely Coupled Architecture and Microservices Empower Your Teams Lean Product Development and Lean Startup Experimentation and A B-Testing GitHub – The Home for All Developers Migrating to GitHub Organizing Your Teams Transform Your Enterprise…”

Tabla de Contenidos: “…Summary -- Chapter 10: Improving the Performance of the Presentation Layer -- Technical requirements -- Performance impact of OmniScript best practices -- Performance impact of formulas on OmniScripts -- Performance impact of conditional views in OmniScripts -- Performance impact of merge fields in OmniScripts -- Measuring the performance of the Presentation Layer -- Measuring load times with LWC Debug Mode -- Measuring performance with Selenium -- Consider LWC lifecycle events -- Document generation options -- Summary -- Chapter 11: DataRaptor Formula Performance Considerations -- Technical requirements -- How fast are DataRaptor formulas? …”

Tabla de Contenidos: “…Accountable and open to inspection modeling -- Data and model governance -- Summary -- Questions -- References -- Part 2: Improving Machine Learning Models -- Chapter 4: Detecting Performance and Efficiency Issues in Machine Learning Models -- Technical requirements -- Performance and error assessment measures -- Classification -- Regression -- Clustering -- Visualization for performance assessment -- Summary metrics are not enough -- Visualizations could be misleading -- Don't interpret your plots as you wish -- Bias and variance diagnosis -- Model validation strategy -- Error analysis -- Beyond performance -- Summary -- Questions -- References -- Chapter 5: Improving the Performance of Machine Learning Models -- Technical requirements -- Options for improving model performance -- Grid search -- Random search -- Bayesian search -- Successive halving -- Synthetic data generation -- Oversampling for imbalanced data -- Improving pre-training data processing -- Anomaly detection and outlier removal -- Benefitting from data of lower quality or relevance -- Regularization to improve model generalizability -- Summary -- Questions -- References -- Chapter 6: Interpretability and Explainability in Machine Learning Modeling -- Technical requirements -- Interpretable versus black-box machine learning -- Interpretable machine learning models -- Explainability for complex models -- Explainability methods in machine learning -- Local explainability techniques -- Global explanation -- Practicing machine learning explainability in Python -- Explanations in SHAP -- Explanations using LIME -- Counterfactual generation using Diverse Counterfactual Explanations (DiCE) -- Reviewing why having explainability is not enough -- Summary -- Questions -- References -- Chapter 7: Decreasing Bias and Achieving Fairness -- Technical requirements…”

“…Use this practical guide to analyze and troubleshoot SQL Server performance using wait statistics. You'll learn to identify precisely why your queries are running slowly. …”

“…After a quick introduction to cloud architecture and an understanding of the importance of performing cloud control assessments, you'll quickly get to grips with navigating AWS, Azure, and GCP cloud environments. …”