Autodesk Inventor Professional 2021 PL / 2021+ / Fusion 360. Metodyka projektowania

Andrzej Jaskulski

Poznaj tajniki systemów Autodesk Inventor Professional i Fusion 360! Naucz się wydajnie projektować Twórz profesjonalną dokumentację Zdobywaj certyfikaty Autodesk Autodesk Inventor Professional to jeden z dwóch najpopularniejszych systemów CAD w swojej klasie. Uzupełnia go rozwiązanie PLM typu cloud computing - Fusion 360. Jeśli chcesz osiągnąć wysoki poziom umiejętności, sięgnij po tę książkę! Poznasz metody parametrycznego, adaptacyjnego projektowania 3D, redagowania dokumentacji 2D i 3D, automatyzacji rutynowych operacji projektowania, modelowania SFM w chmurze itp. przy użyciu dowolnej wersji językowej. Starannie dobrane ćwiczenia pozwolą Ci nauczyć się samodzielnie rozwiązywać problemy praktyczne i zdobyć niezbędne minimum wiedzy teoretycznej. Nabierzesz nawyków, które sprawią, że praca stanie się naprawdę wydajna. Autor książki, profesor Uniwersytetu Warmińsko-Mazurskiego, dzieli się swoją ogromną wiedzą i bogatym doświadczeniem wynikającym z pracy na kierowniczych stanowiskach technicznych w przemyśle, jak również z wielu lat kształcenia studentów i uczestników kursów CAD. Dzięki odpowiedniemu przygotowaniu dydaktycznemu autora podręcznik sprawdzi się doskonale zarówno w przypadku samodzielnej nauki, jak i zajęć uniwersyteckich czy przygotowania do egzaminów certyfikacyjnych Autodesk. Wiedzę i umiejętności profesora Andrzeja Jaskulskiego od lat docenia firma Autodesk. Interfejs użytkownika Konfiguracja środowiska i szybki start Przewodnik po typowych szkoleniach (learning paths) Parametryczne, adaptacyjne modelowanie FBM części i zespołów Redagowanie dokumentacji 2D i 3D Zaawansowane techniki projektowania 3D Inteligentne elementy, części, zespoły, więzy i operacje Wewnętrzny język programowania iLogic Zarządzanie danymi projektowymi Moduły specjalizowane Automatyzacja rutynowych operacji procesu projektowania Narzędzia analityczne (MES, dynamika konstrukcji) Narzędzia prezentacyjne Modelowanie SFM Zadania kontrolne Zaprzyjaźnij się z systemami Autodesk Inventor i Fusion 360 i osiągaj szybciej swoje cele!

Autodesk Inventor Professional 2024 PL / 2024+ / Fusion 360. Metodyka efektywnego projektowania

Andrzej Jaskulski

Poznaj tajniki Autodesk Inventor Professional i Fusion 360 i osiągaj szybciej swoje cele! Autodesk Inventor Professional to jeden z dwóch najpopularniejszych systemów CAD w swojej klasie. Uzupełnia go rozwiązanie PLM typu Cloud Computing - Fusion 360. Jeśli chcesz osiągnąć wysoki poziom umiejętności, sięgnij po tę książkę! Poznasz metody parametrycznego, adaptacyjnego projektowania 3D, redagowania dokumentacji 2D i 3D, automatyzacji rutynowych operacji projektowania, modelowania SFM w chmurze itp. - przy użyciu dowolnej wersji językowej. Korzystając z plików pobranych ze strony wydawnictwa i wykonując starannie dobrane ćwiczenia, nauczysz się samodzielnie rozwiązywać praktyczne problemy i zdobędziesz niezbędne minimum wiedzy teoretycznej. Nabierzesz nawyków, które sprawią, że praca stanie się naprawdę wydajna! Autor książki, profesor Uniwersytetu Warmińsko-Mazurskiego, dzieli się swoją ogromną wiedzą i bogatym doświadczeniem wynikającym z pracy na kierowniczych stanowiskach technicznych w przemyśle, jak również z wielu lat kształcenia studentów i uczestników kursów CAD. Dzięki odpowiedniemu przygotowaniu dydaktycznemu autora podręcznik sprawdzi się doskonale zarówno w wypadku samodzielnej nauki, jak i zajęć uniwersyteckich czy przygotowania do egzaminów certyfikacyjnych Autodesk. Wiedzę i umiejętności profesora Andrzeja Jaskulskiego od lat docenia firma Autodesk. W książce oprócz standardowych zagadnień: Szybki start Przewodnik po typowych szkoleniach (learning paths) Inteligentne elementy, części, zespoły, więzy i operacje Wewnętrzny język programowania iLogic Moduły specjalizowane Automatyzacja rutynowych operacji procesu projektowania Narzędzia analityczne (MES, dynamika konstrukcji) Modelowanie SFM

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.