Automasaże KOBIDO Gładka i odżywiona twarz

Marine Clermont

Odkryj masaż japoński - najnowszy trend w pielęgnacji twarzy! Często mówi się, że skóra odzwierciedla stan naszego zdrowia, ponieważ ujawnia nasze nawyki, zarówno dobre, jak i złe. Ten mały poradnik sprawi, że zachowasz promienną i zdrową skórę w świetnej kondycji! Dzięki tej książce odkryjesz innowacyjne zabiegi pielęgnacyjne inspirowane kobido, tradycyjną sztuką japońską służącą wyłącznie upiększaniu twarzy. Poradnik ten oferuje automasaże dostosowane do różnych obszarów twarzy i pozwala osiągnąć liczne pozytywne efekty w postaci: walki ze starzeniem, poprawy krążenia czy ujędrnienia skóry. Przedstawione techniki są proste i dostępne dla każdego. Dzięki wielu radom i wskazówkom możesz zastosować odpowiedni masaż, aby twoja skóra była dotleniona, gładka i ukojona. Połączenie codziennych zabiegów pielęgnacyjnych z korzystnie działającym automasażem sprawi, że szybko nabierzesz wprawy! Znajdziesz tu: - proste i dobroczynne automasaże przeznaczone specjalnie dla twarzy, - rutynowe zabiegi pielęgnacyjne do stosowania codziennie w zależności od potrzeb i chęci, - rozwiązania dostępne dla każdego, kto chce zachować promienną, jędrną i zdrową twarz. Twoja nowa praktyka, by zachować długo młodą i piękną skórę!

Automate Everyday Tasks in Jira. A practical, no-code approach for Jira admins and power users to automate everyday processes

Gareth Cantrell

Atlassian Jira makes it easier to track the progress of your projects, but it can lead to repetitive and time-consuming tasks for teams. No-code automation will enable you to increase productivity by automating these tasks. Automate Everyday Tasks in Jira provides a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time.You will start by learning how automation in Jira works, along with discovering best practices for writing automation rules. Then you’ll be introduced to the building blocks of automation, including triggers, conditions, and actions, before moving on to advanced rule-related techniques. After you’ve become familiar with the techniques, you’ll find out how to integrate with external tools, such as GitHub, Slack, and Microsoft Teams, all without writing a single line of code. Toward the end, you’ll also be able to employ advanced rules to create custom notifications and integrate with external systems.By the end of this Jira book, you’ll have gained a thorough understanding of automation rules and learned how to use them to automate everyday tasks in Jira without using any code.

Automate It with Zapier and Generative AI. Harness the power of no-code workflow automation and AI with Zapier to increase business productivity - Second Edition

Kelly Goss, Philip Lakin

Organizations experience significant issues with productivity when dealing with manual and repetitive tasks. Automate it with Zapier, Second edition has been extensively revised on how to analyze your processes and identify repetitive tasks that can be automated between 6000+ cloud-based business applications.It includes all of the newest features in Zapier such as AI functionality using the ChatGPT plugin, drafts, reordering and duplicating steps and paths, sub-folders and version history, as well as built-in apps such as Looping, Sub-Zap, Interfaces, Tables, Transfer, and provides more examples covering a variety of use cases sourced from the Zapier user community.You'll learn how to implement automation in your organization along with its important principles, terminology, and first steps of how to use Zapier. Progressively, you'll learn how to use Zapier’s native functionality and all 27 built-in apps such as Filter, Paths, Formatter, Digest, and Scheduler, to enable you to build multi-step Zaps. You will also discover how to manage your Zapier account effectively, as well as how to troubleshoot technical problems with your workflows, and use the OpenAI integration to automate AI tasks.By the end of this book, you'll be able to automate your manual and repetitive tasks using Zapier depicted through real-life examples.

Automate It with Zapier. Boost your business productivity using effective workflow automation techniques

Kelly Goss, Cody Jones

Zapier is an emerging no-code workflow automation technology that enables organizations to connect their cloud-based and web applications and automate data transfer between them. Zapier's built-in features and flexibility allow users to integrate thousands of business applications and create simple to complex automation to reduce time spent on repetitive tasks, thereby increasing productivity. This book is a must-have for business owners, their employees, and independent freelancers and contractors looking to use Zapier for business process automation.The book takes a hands-on approach to implementation and associated problem-solving methodologies that will have you up-and-running and productive in no time while leveling up your automation skills. You'll discover how to plan your automation building for optimal results, what are the native features available in Zapier, and the applications that connect with it, as well as how to optimally configure your workflows to automate your processes in as few steps as possible. Finally, you'll find out how to create advanced workflow automation from scratch and learn how to troubleshoot issues.By the end of this Zapier book, you'll be able to build your own advanced workflow automation using Zapier, addressing the key pain points encountered in businesses with manual and repetitive tasks.

Automate Testing for Power Apps. A practical guide to applying low-code automation testing tools and techniques

César Calvo, Carlos de Huerta

Low-code testing helps build better applications, freeing developers from frustrating problems faced while enhancing app features. Automate Testing for Power Apps will help you use automation testing to build better Canvas apps. You’ll start by understanding the fundamentals of automation testing, different approaches for low-code testing, and its application to Power Apps. Next, you’ll learn how to use Test Studio, Power Automate Desktop, and other tools to automate testing for your Canvas apps. You'll find out how to incorporate testing into your deployment processes for faster and more reliable releases. Additionally, this book covers advanced topics such as PCF components testing and model-driven apps. You’ll discover the new open-source project, Power Apps Test Engine, that’ll provide you with a single automated testing platform for all Power Apps. You'll learn how to test these more complex components to ensure the highest quality and business value for your Power Apps. By the end of this book, you'll have become a pro at using automation testing to build better Power Apps, reduce app release times, and increase the quality of your applications.

Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

Adnan Masood, Ahmed Sherif

Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort.This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you’ll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle.By the end of this machine learning book, you’ll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.

Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way

Trenton Potgieter, Jonathan Dahlberg

AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services.Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team.By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.

Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding

Luis Sobrecueva

AutoKeras is an AutoML open-source software library that provides easy access to deep learning models. If you are looking to build deep learning model architectures and perform parameter tuning automatically using AutoKeras, then this book is for you.This book teaches you how to develop and use state-of-the-art AI algorithms in your projects. It begins with a high-level introduction to automated machine learning, explaining all the concepts required to get started with this machine learning approach. You will then learn how to use AutoKeras for image and text classification and regression. As you make progress, you'll discover how to use AutoKeras to perform sentiment analysis on documents. This book will also show you how to implement a custom model for topic classification with AutoKeras. Toward the end, you will explore advanced concepts of AutoKeras such as working with multi-modal data and multi-task, customizing the model with AutoModel, and visualizing experiment results using AutoKeras Extensions.By the end of this machine learning book, you will be able to confidently use AutoKeras to design your own custom machine learning models in your company.

Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

Dennis Michael Sawyers

Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK).First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems.By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect.

Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases for faster development cycles with less time needed for manual testing - Second Edition

Luc van Vugt

Dynamics 365 Business Central is a cloud-based SaaS ERP proposition from Microsoft. With development practices becoming more formal, implementing changes or new features is not as simple as it used to be back when Dynamics 365 Business Central was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision, and the call for test automation is increasing.This book will show you how to leverage the testing tools available in Dynamics 365 Business Central to perform automated testing. Starting with a quick introduction to automated testing and test-driven development (TDD), you'll get an overview of test automation in Dynamics 365 Business Central. You'll then learn how to design and build automated tests and explore methods to progress from requirements to application and testing code. Next, you'll find out how you can incorporate your own as well as Microsoft tests into your development practice. With the addition of three new chapters, this second edition covers in detail how to construct complex scenarios, write testable code, and test processes with incoming and outgoing calls.By the end of this book, you'll be able to write your own automated tests for Microsoft Business Central.

Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central

Luc van Vugt

Dynamics 365 Business Central is the new cloud-based SaaS ERP proposition from Microsoft. It’s not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this, the call for test automation is pressing on us.This book will teach you to leverage testing tools available with Dynamics 365 Business Central to perform automated testing. We’ll begin with a quick introduction to automated testing, followed by an overview of test automation in Dynamics 365 Business Central. Then you’ll learn to design and build automated tests and we’ll go through some efficient methods to get from requirements to application and testing code. Lastly, you’ll learn to incorporate your own and Microsoft tests into your daily development practice.By the end of the book, you’ll be able to write your own automated tests for Dynamics 365 Business Central.

Automating DevOps with GitLab CI/CD Pipelines. Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples

Christopher Cowell, Nicholas Lotz, Chris Timberlake

Developers and release engineers understand the high stakes of building, packaging, and deploying code efficiently. Ensuring that your code is fast, secure, and functionally correct can be a time-consuming and complex task. GitLab CI/CD pipelines simplify these tasks, enabling automation and seamless deployment.Automating DevOps with GitLab CI/CD Pipelines starts with the fundamentals of Git and GitLab, guiding you through committing and reviewing code. You'll learn how to set up GitLab Runners to execute and autoscale CI/CD pipelines, configure pipelines for different stages of the software development lifecycle, and analyze pipeline results in GitLab. As you progress, you'll gain expertise in deploying code across environments, integrating GitLab with Kubernetes and Terraform, triggering pipelines, and improving pipeline performance. This book also includes troubleshooting techniques, best practices, real-world use cases, and self-assessments to reinforce key CI/CD concepts and help you prepare for GitLab-related interviews and certifications.By the end of this book, you'll have the skills to build and automate CI/CD pipelines in GitLab, streamline DevOps workflows, and deploy high-quality, secure code with confidence.

Automating Salesforce Marketing Cloud. Reap all the benefits of the SFMC platform and increase your productivity with the help of real-world examples

Greg Gifford, Jason Hanshaw, Guilda Hilaire

Salesforce Marketing Cloud (SFMC) allows you to use multiple channels and tools to create a 1:1 marketing experience for your customers and subscribers. Through automation and helper tasks, you can greatly increase your productivity while also reducing the level of effort required in terms of volume and frequency.Automating Salesforce Marketing Cloud starts by discussing what automation is generally and then progresses to what automation is in SFMC. After that, you’ll focus on how to perform automation inside of SFMC all the way to fully running processes and capabilities from an external service. Later chapters explore the benefits and capabilities of automation and having an automation mindset both within and outside of SFMC. Equipped with this knowledge and example code, you'll be prepared to maximize your SFMC efficiency.By the end of this Salesforce book, you’ll have the skills you need to build automation both inside and outside of SFMC, along with the knowledge for using the platform optimally.

Automating Security Detection Engineering. A hands-on guide to implementing Detection as Code

Dennis Chow, David Bruskin

Today's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases.You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs.By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.

Automating Workflows with GitHub Actions. Automate software development workflows and seamlessly deploy your applications using GitHub Actions

Priscila Heller

GitHub Actions is one of the most popular products that enables you to automate development tasks and improve your software development workflow. Automating Workflows with GitHub Actions uses real-world examples to help you automate everyday tasks and use your resources efficiently.This book takes a practical approach to helping you develop the skills needed to create complex YAML files to automate your daily tasks. You'll learn how to find and use existing workflows, allowing you to get started with GitHub Actions right away. Moving on, you'll discover complex concepts and practices such as self-hosted runners and writing workflow files that leverage other platforms such as Docker as well as programming languages such as Java and JavaScript. As you advance, you'll be able to write your own JavaScript, Docker, and composite run steps actions, and publish them in GitHub Marketplace! You'll also find instructions to migrate your existing CI/CD workflows into GitHub Actions from platforms like Travis CI and GitLab. Finally, you'll explore tools that'll help you stay informed of additions to GitHub Actions along with finding technical support and staying engaged with the community.By the end of this GitHub book, you'll have developed the skills and experience needed to build and maintain your own CI/CD pipeline using GitHub Actions.

Automatyzacja metodyki DevOps za pomocą potoków CI/CD GitLaba. Buduj efektywne potoki CI/CD do weryfikacji, zabezpieczenia i wdrażania kodu, korzystając z rzeczywistych przykładów

Christopher Cowell, Nicholas Lotz, Chris Timberlake

Obecnie zasady i wzorce DevOps pozwalają na ograniczenie ryzyka związanego z budowaniem, zabezpieczaniem i wdrażaniem kodu. Programiści i wdrożeniowcy wiedzą, że zapewnienie funkcjonalnej poprawności, efektywności i bezpieczeństwa kodu jest czasochłonne i skomplikowane. Dużym ułatwieniem w tym zakresie mogą być potoki CI/CD GitLaba. Dzięki tej książce poznasz od podstaw Gita i GitLaba. Dowiesz się, jak skonfigurować runnery GitLaba, a także jak tworzyć i konfigurować potoki dla różnych etapów cyklu rozwoju oprogramowania. Poznasz zasady interpretacji wyników potoków w GitLabie. Nauczysz się też wdrażania kodu w różnych środowiskach i korzystania z wielu zaawansowanych funkcji, takich jak łączenie GitLaba z Terraformem, klastrami Kubernetes czy uruchamianie i poprawa wydajności potoków. Skorzystasz ponadto z licznych przykładów i studiów przypadków, dzięki którym za pomocą potoków CI/CD zautomatyzujesz wszystkie etapy DevOps do budowy i wdrażania kodu o wysokiej jakości. Najciekawsze zagadnienia: podstawy Gita, GitLaba i DevOps tworzenie, przeglądanie i uruchamianie potoków CI/CD GitLaba weryfikacja, zabezpieczanie i wdrażanie kodu za pomocą potoków CI/CD GitLaba runnery, DAG-i i logika warunkowa GitLaba najlepsze praktyki i metody rozwiązywania problemów w potokach CI/CD GitLaba przykłady cykli życia procesów rozwoju oprogramowania DevOps. Wdrażaj zmiany szybko i bezpiecznie!