Aplikacje biurowe
Viktor Vedmich, Alexander Dovnar, Viktoria Semaan
In the high-stakes world of cloud-native technologies, Kubernetes technical interviews are notoriously challenging, and theory-heavy resources leave candidates unprepared for real-world scenarios. This guide by Viktor Vedmich and Alexander Dovnar, two seasoned professionals with decades of combined experience in DevOps, AWS, and Kubernetes architecture, bridges that gap to help you unlock actionable strategies and insights to excel in even the toughest interviews.Beginning with core concepts such as Pods and Services, the book guides you through scaling, networking, GitOps, and deployment strategies. You’ll explore advanced topics, including security, observability, monitoring, and troubleshooting, all framed in the context of real-world interviews. Each chapter includes practical scenarios and authentic questions that test both your understanding and problem-solving skills. Rather than relying on rote memorization, this guide helps you develop the depth and confidence expected of top-tier Kubernetes professionals.By the end of this hands-on journey, you'll be ready to take on roles from junior DevOps engineer to senior architect, equipped with the practical expertise needed to stand out in today’s competitive hiring process.
Jim Wilson
Today’s users expect mobile apps to be dynamic and highly interactive, with rich navigation features. These same apps must look fantastic whether running on a medium-resolution smartphone or high-resolution tablet. Fragments provide the toolset we need to meet these user expectations by enabling us to build our applications out of adaptable components that take advantage of the rich capabilities of each individual device and automatically adapt to their differences.This book looks at the impact fragments have on Android UI design and their role in both simplifying many common UI challenges and in providing best practices for incorporating rich UI behaviors. We look closely at the roll of fragment transactions and how to work with the Android back stack. Leveraging this understanding, we explore several specialized fragment-related classes such as ListFragment and DialogFragment. We then go on to discuss how to implement rich navigation features such as swipe-based screen browsing, and the role of fragments when developing applications that take advantage of the latest aspects of Material Design. You will learn everything you need to provide dynamic, multi-screen UIs within a single activity, and the rich UI features demanded by today’s mobile users.
Gopi Kondameda
In the evolving remote working arrangement, the demand for custom Microsoft Teams apps is increasing rapidly across businesses. If you are someone who aims to provide users with an exceptional experience through custom-built apps that adhere to industry standards and good governance, Customizing Microsoft Teams is for you!The book starts with an overview of Microsoft Teams customization and configuration prerequisites. It then shows you how to expose functionalities from various solutions through tabs, connectors, messaging extensions, and more before you move on to explore how the PowerShell module can manage multiple aspects of administration and how to use the SharePoint Framework for creating custom Microsoft Teams apps. You’ll be able to work with Microsoft Dataverse for Teams to build custom apps, bots, and flows using Power Apps, Power Virtual Agents, and Power Automate. As you publish your production-ready apps on the Teams store and Microsoft AppSource, you’ll also understand Teams app analytics and reporting functionalities.By the end of this book, you’ll have learned how to develop custom solutions to solve critical business problems and extend the power of Microsoft Teams to develop high-value use cases in the remote working culture.
Yik Yang, Behzad Ehsani
NI LabVIEW's intuitive graphical interface eliminates the steep learning curve associated with text-based languages such as C or C++. LabVIEW is a proven and powerful integrated development environment to interact with measurement and control hardware, analyze data, publish results, and distribute systems. This hands-on tutorial guide helps you harness the power of LabVIEW for data acquisition. This book begins with a quick introduction to LabVIEW, running through the fundamentals of communication and data collection. Then get to grips with the auto-code generation feature of LabVIEW using its GUI interface. You will learn how to use NI-DAQmax Data acquisition VIs, showing how LabVIEW can be used to appropriate a true physical phenomenon (such as temperature, light, and so on) and convert it to an appropriate data type that can be manipulated and analyzed with a computer. You will also learn how to create Distribution Kit for LabVIEW, acquainting yourself with various debugging techniques offered by LabVIEW to help you in situations where bugs are not letting you run your programs as intended.By the end of the book, you will have a clear idea how to build your own data acquisition system independently and much more.
Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
James C. Mott, Ken Stehlik-Barry, James Sugrue,...
SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.
Data Analysis with Python. A Modern Approach
David Taieb
Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects.Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.
Andrea Mauro , Paolo Valsecchi
This exam guide enables you to install, configure, and manage the vSphere 6.5 infrastructure in all its components: vCenter Server, ESXi hosts, and virtual machines, while helping you to prepare for the industry standard certification.This data center book will assist you in automating administration tasks and enhancing your environment’s capabilities. You will begin with an introduction to all aspects related to security, networking, and storage in vSphere 6.5. Next, you will learn about resource management and understand how to back up and restore the vSphere 6.5 infrastructure. As you advance, you will also cover troubleshooting, deployment, availability, and virtual machine management. This is followed by two mock tests that will test your knowledge and challenge your understanding of all the topics included in the exam.By the end of this book, you will not only have learned about virtualization and its techniques, but you’ll also be prepared to pass the VCP6.5-DCV (2V0-622) exam.
Dmitry Foshin, Dmitry Anoshin, Tonya Chernyshova, Sergii...
Data Engineering with Azure Databricks is your essential guide to building scalable, secure, and high-performing data pipelines using the powerful Databricks platform on Azure. Designed for data engineers, architects, and developers, this book demystifies the complexities of Spark-based workloads, Delta Lake, Unity Catalog, and real-time data processing.Beginning with the foundational role of Azure Databricks in modern data engineering, you’ll explore how to set up robust environments, manage data ingestion with Auto Loader, optimize Spark performance, and orchestrate complex workflows using tools like Azure Data Factory and Airflow.The book offers deep dives into structured streaming, Delta Live Tables, and Delta Lake’s ACID features for data reliability and schema evolution. You’ll also learn how to manage security, compliance, and access controls using Unity Catalog, and gain insights into managing CI/CD pipelines with Azure DevOps and Terraform.With a special focus on machine learning and generative AI, the final chapters guide you in automating model workflows, leveraging MLflow, and fine-tuning large language models on Databricks. Whether you're building a modern data lakehouse or operationalizing analytics at scale, this book provides the tools and insights you need.
Fernando Roque
Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.You’ll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you’ll be able to detect outliers that could indicate possible fraud or a bad function in network packets.By the end of this Microsoft Excel book, you’ll be able to use the classification algorithm to group data with different variables. You’ll also be able to train linear and time series models to perform predictions and forecasts based on past data.
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
Vivek Mishra, Tomcy John, Pankaj Misra
The term Data Lake has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights that can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it not only helps to derive useful information from historical data but also correlates real-time data to enable business to take critical decisions. This book tries to bring these two important aspects — data lake and lambda architecture—together.This book is divided into three main sections. The first introduces you to the concept of data lakes, the importance of data lakes in enterprises, and getting you up-to-speed with the Lambda architecture. The second section delves into the principal components of building a data lake using the Lambda architecture. It introduces you to popular big data technologies such as Apache Hadoop, Spark, Sqoop, Flume, and ElasticSearch. The third section is a highly practical demonstration of putting it all together, and shows you how an enterprise data lake can be implemented, along with several real-world use-cases. It also shows you how other peripheral components can be added to the lake to make it more efficient.By the end of this book, you will be able to choose the right big data technologies using the lambda architectural patterns to build your enterprise data lake.
DAX for Humans. The No CALCULATE Guide that Makes DAX Easy
Greg Deckler
Although DAX has been around for over a decade, many struggle to master the language primarily because DAX is often taught through the CALCULATE function, which is the most complex and unintuitive function in all of DAX. But what if DAX could be taught without CALCULATE? The result would be an incredibly intuitive and easy way to learn DAX.DAX for Humans stands the traditional approach to learning DAX on its head, foregoing the traditional, legacy methods of learning DAX for a more modern approach that focuses on core DAX concepts and not any specific function. Even if you know nothing about DAX, from the very first chapter you will learn the essentials of the DAX language, as well as a single pattern to solve the majority of DAX problems. From that point forward, you’ll explore how to work with the basic building blocks of the DAX language and apply what you learn to real-world business scenarios across customers, human resources, projects, finance, operations, and more.By the end of this book, you’ll be able to apply your DAX skills to simple, complex, and advanced scenarios; understand how to optimize and debug your DAX code; and even know how to efficiently apply artificial intelligence to help you write and debug your DAX code.
DAX w Power BI. Podstawy. Podręcznik z ćwiczeniami
Justyna Pyrcz
Poznaj język, za pomocą którego analitycy sprawiają, że dane są posłuszne, a raporty ciekawsze! Język DAX (ang. Data Analysis Expressions) został stworzony przez firmę Microsoft, by umożliwić wykonywanie efektywnych obliczeń na danych przechowywanych w wielu tabelach i przetwarzanych w Power BI, Excel Power Pivot czy SQL Server Analysis Services. Możliwości DAX-a są naprawdę ogromne, osoba, która go opanuje, zyska potężnego sprzymierzeńca w pracy z wielkimi zbiorami danych ukrytymi pod wyświetlanymi w raportach wykresami czy tabelami. Ten podręcznik wyjaśnia podstawy działania języka DAX i stosowania go w Power BI. Napisany przystępnym językiem, uczy obsługi prostych modeli danych i korzystania z szeregu podstawowych, choć nieoczywistych funkcji. Ich opanowanie pozwala zacząć samodzielnie tworzyć ciekawe analizy, a równocześnie oswoić się z DAX-em i modelem danych. Dzięki lekturze książki i wykonaniu zawartych w niej ćwiczeń dowiesz się między innymi: Czym jest model danych Do czego służą kolumny kalkulowane, miary i co to są konteksty wykonania Jak działają funkcje agregujące i iteracyjne Jak używać CALCULATE - najważniejszej funkcji języka DAX Do czego można użyć funkcji tablicowych Jak w prosty sposób tworzyć dynamiczne komunikaty
Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
Christopher Bourez
This book offers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions and deep learning models easy on CPU or GPU.The book provides some practical code examples that help the beginner understand how easy it is to build complex neural networks, while more experimented data scientists will appreciate the reach of the book, addressing supervised and unsupervised learning, generative models, reinforcement learning in the fields of image recognition, natural language processing, or game strategy.The book also discusses image recognition tasks that range from simple digit recognition, image classification, object localization, image segmentation, to image captioning. Natural language processing examples include text generation, chatbots, machine translation, and question answering. The last example deals with generating random data that looks real and solving games such as in the Open-AI gym. At the end, this book sums up the best -performing nets for each task. While early research results were based on deep stacks of neural layers, in particular, convolutional layers, the book presents the principles that improved the efficiency of these architectures, in order to help the reader build new custom nets.
Koichi Tsuji, Suvrutt Gurjar, Takuya Miyai
Many citizen developers regularly use spreadsheets in their business and day-to-day jobs. With AppSheet, you can take your spreadsheets to the next level by enhancing their ease of use. The platform allows you to run your business efficiently and manage it in the field outside of an office or indoor environment. This book enables you to create your own simple or medium to complex hybrid apps for business or personal use.As a beginner to AppSheet, this book will show you how the AppSheet Editor works and how it is used to configure, test, and deploy an app and share it with others as users or co-authors. You’ll learn about widely used features such as how to use data sources, create app views and actions, construct expressions with AppSheet functions, and make your app secure through security and UX options. Next, you’ll create email/attachment templates and develop reports/documents based on templates, store in the cloud, and send files through emails. You’ll also understand how to integrate third-party services and monitor various usage statistics of your app. As you progress, you’ll explore various features with the help of sample apps that you create using the book.By the end of this book, you’ll have learned how to make the most of AppSheet to build powerful and efficient applications.
Aaron Guilmette
The Microsoft MS-300 exam is designed to test the knowledge and skills of administrators in deploying, configuring, and managing SharePoint Online, SharePoint Server, SharePoint Hybrid, OneDrive for Business, and Teams. This book offers up-to-date coverage of the important topics based on the MS-300 exam and features question answers and insider tips to help you prepare for certification.Written in a clear, succinct way, the book starts by helping you configure and manage SharePoint Online. You’ll then delve into OneDrive for Business, right from managing users and groups, through to monitoring sharing and security. Further chapters will guide you through working with Teams, with an emphasis on managing identity authentication, resolving issues with the service, and even observing usage patterns. Later, you’ll get up to speed with workload integrations, covering the Yammer business communications platform, before moving on to understand how to integrate Microsoft Stream with SharePoint, Teams, and Yammer. Finally, you’ll learn to develop data governance and user adoption strategies.By the end of this book, you'll be well-versed with SharePoint Online and have learned the essential techniques and concepts you need to know in order to pass the MS-300 certification exam.
Aaron Guilmette
The Microsoft MS-300 exam is designed to test the knowledge and skills of administrators in deploying, configuring, and managing SharePoint Online, SharePoint Server, SharePoint Hybrid, OneDrive for Business, and Teams. This book offers up-to-date coverage of the important topics based on the MS-300 exam and features question answers and insider tips to help you prepare for certification.Written in a clear, succinct way, the book starts by helping you configure and manage SharePoint Online. You’ll then delve into OneDrive for Business, right from managing users and groups, through to monitoring sharing and security. Further chapters will guide you through working with Teams, with an emphasis on managing identity authentication, resolving issues with the service, and even observing usage patterns. Later, you’ll get up to speed with workload integrations, covering the Yammer business communications platform, before moving on to understand how to integrate Microsoft Stream with SharePoint, Teams, and Yammer. Finally, you’ll learn to develop data governance and user adoption strategies.By the end of this book, you'll be well-versed with SharePoint Online and have learned the essential techniques and concepts you need to know in order to pass the MS-300 certification exam.
Subhajit Chatterjee, Swapneel Deshpande, Henry Been, Maik...
The AZ-400 Designing and Implementing Microsoft DevOps Solutions certification helps DevOps engineers and administrators get to grips with practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments using Azure DevOps Services.This new edition is updated with advanced topics such as site reliability engineering (SRE), continuous improvement, and planning your cloud transformation journey. The book begins with the basics of CI/CD and automated deployments, and then moves ahead to show you how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. As you make progress, you’ll explore fitting security and compliance with DevOps and find out how to instrument applications and gather metrics to understand application usage and user behavior. This book will also help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you’ll discover quick tips and tricks to confidently apply effective DevOps practices and learn to create your own Azure DevOps organization.By the end of this DevOps book, you'll have gained the knowledge needed to ensure seamless application deployments and business continuity.