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Kursy video
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Zarządzanie
Podcasty
Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Fourth edition, you'll embark on a Python-based journey to transition from a traditional network engineer to a network developer ready for the next generation of networks.This new edition is completely revised and updated to work with the latest Python features and DevOps frameworks. In addition to new chapters on introducing Docker containers and Python 3 Async IO for network engineers, each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts.Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security, followed by AWS and Azure cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network.
Drawing from her expertise in digital design, Barbara Tulissi will guide you through Canva's user-friendly platform, showcasing how to create stunning visuals and transform your basic Canva knowledge into professional-level design skills.The Canva Cookbook starts with a quick overview of Canva, guiding you through its main features and ensuring you're set up for success, before focusing on creating a brand. You will do this through workbook-like questions and activities, helping you understand your brand's vision, values, and voice. After that, each chapter focuses on specific design objectives, providing step-by-step recipes on crafting engaging social media content, creating eye-catching videos and ads, and developing print-ready materials. Through a blend of theory, instructions, and examples, you'll also learn how to make your designs more accessible – including the use of captions and alt text – as well as how to harness the power of Canva AI for efficient and powerful brand storytelling.By the end of this book, you'll not only be able to create visually compelling projects but you will have also built up a powerful skill arsenal that will help you speed up your creative process and unleash your creativity with Canva.
With its simple syntax and sensible conventions, Go has emerged as the language of choice for developers in network programming, web services, data processing, and other settings. This practical guide helps engineers leverage Go through up-to-date recipes that solve common problems in day-to-day programming. Drawing from three decades of distributed systems engineering and technical leadership at companies like Red Hat, Burak Serdar brings battle-tested expertise in building robust, scalable applications. He starts by covering basics of code structure, describing different approaches to organizing packages for different types of projects. You’ll discover practical solutions to engineering challenges in network programming, dealing with processes, databases, data processing pipelines, and testing. Each chapter provides working solutions and production-ready code snippets that you can seamlessly incorporate into your programs while working in sequential and concurrent settings. The solutions leverage the more recent additions to the Go language, such as generics and structured logging. Most of the examples are developed using the Go standard library without any third-party packages. By the end of this book, you’ll have worked through a collection of proven recipes that will equip you accelerate your Go development journey.
The field of instructional design offers a rapidly growing, flexible, and rewarding career path. Chances are that if you’re a teacher creating training material, college professor designing educational courses, human resources professional creating learning content, or even a graphic designer curating content, you may already be engaging in instructional designing without even realizing it!This book teaches you all about the four capabilities that are most important to exceling as an instructional designer—teaching, writing, creating, and analyzing. The chapters are designed in a way that provides you with practical tips for day-to-day learning projects through true ID stories. You’ll get familiar with common misconceptions surrounding the field, along with how to overcome your shortcomings. With the help of easy-to-understand real-world case studies and practical tips, each chapter focuses on developing one particular competency to help you grasp the concepts with ease.By the end of this book, you’ll have gained a comprehensive understanding of the key competencies needed to succeed in this field and their importance, and learned how to develop them effectively.
Jose Luis Latorre, Jose Luis Latorre Millas
With about ten years since its first release, Microsoft's .NET Framework 4.5 is one of the most solid development technologies to create casual, business, or enterprise applications. It has evolved into a very stable framework and solid framework for developing applications, with a solid core, called the CLR (Common Language Runtime) Microsoft .NET Framework 4.5 includes massive changes and enables modern application and UI development.Microsoft .Net Framework 4.5 Quickstart Cookbook aims to give you a run through the most exciting features of the latest version. You will experience all the flavors of .NET 4.5 hands on. The “How-to” recipes mix the right ingredients for a final taste of the most appetizing features and characteristics. The book is written in a way that enables you to dip in and out of the chapters.The book is full of practical code examples that are designed to clearly exemplify the different features and their applications in real-world development. All the chapters and recipes are progressive and based on the fresh features on .NET Framework 4.5.The book will begin by teaching you to build a modern UI application and improve it to make it Windows 8 Modern UI apps lifecycle model-compliant. You will create a portable library and throttle data source updating delays. Towards the end of the book, you will create you first Web API.
The machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges.This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You’ll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you’ll uncover the secrets and best practices to harness the full potential of synthetic data.By the end of this book, you’ll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.
Phani Kumar Lingamallu, Fabio Braga de Oliveira
As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.