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Podcasts
Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn
Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform.You’ll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You’ll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources.By the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.
In our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it’s surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases.This book is an exploration of IoT’s inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You’ll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you’ll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence.By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.
Written for Salesforce architects who want quickly implementable AI solutions for their business challenges, Architecting AI Solutions on Salesforce is a shortcut to understanding Salesforce Einstein’s full capabilities – and using them.To illustrate the full technical benefits of Salesforce’s own AI solutions and components, this book will take you through a case study of a fictional company beginning to adopt AI in its Salesforce ecosystem. As you progress, you'll learn how to configure and extend the out-of-the-box features on various Salesforce clouds, their pros, cons, and limitations. You'll also discover how to extend these features using on- and off-platform choices and how to make the best architectural choices when designing custom solutions. Later, you'll advance to integrating third-party AI services such as the Google Translation API, Microsoft Cognitive Services, and Amazon SageMaker on top of your existing solutions. This isn’t a beginners’ Salesforce book, but a comprehensive overview with practical examples that will also take you through key architectural decisions and trade-offs that may impact the design choices you make.By the end of this book, you'll be able to use Salesforce to design powerful tailor-made solutions for your customers with confidence.
Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to provide hands-on machine learning solutions with scikit-learn and Python toolkits.The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You’ll also learn about various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based learning algorithm, Bayesian estimation, a deep neural network, a tree-based ensemble, or a recommendation system, you’ll gain a thorough understanding of its theory and learn when to apply it. As you advance, you’ll learn how to deal with unlabeled data and when to use different clustering and anomaly detection algorithms.By the end of this machine learning book, you’ll have learned how to take a data-driven approach to provide end-to-end machine learning solutions. You’ll also have discovered how to formulate the problem at hand, prepare required data, and evaluate and deploy models in production.
Learn QGIS. Your step-by-step guide to the fundamental of QGIS 3.4 - Fourth Edition
QGIS 3.4 is the first LTR (long term release) of QGIS version 3. This is a giant leap forward for the project with tons of new features and impactful changes. Learn QGIS is fully updated for QGIS 3.4, covering its processing engine update, Python 3 de-facto coding environment, and the GeoPackage format.This book will help you get started on your QGIS journey, guiding you to develop your own processing pathway. You will explore the user interface, loading your data, editing, and then creating data. QGIS often surprises new users with its mapping capabilities; you will discover how easily you can style and create your first map. But that’s not all! In the final part of the book, you’ll learn about spatial analysis and the powerful tools in QGIS, and conclude by looking at Python processing options.By the end of the book, you will have become proficient in geospatial analysis using QGIS and Python.
Laurence Lars Svekis, Maaike van Putten, Codestars By Rob Percival
This book demonstrates the capabilities of JavaScript for web application development by combining theoretical learning with code exercises and fun projects that you can challenge yourself with. The guiding principle of the book is to show how straightforward JavaScript techniques can be used to make web apps ranging from dynamic websites to simple browser-based games.JavaScript from Beginner to Professional focuses on key programming concepts and Document Object Model manipulations that are used to solve common problems in professional web applications. These include data validation, manipulating the appearance of web pages, working with asynchronous and concurrent code.The book uses project-based learning to provide context for the theoretical components in a series of code examples that can be used as modules of an application, such as input validators, games, and simple animations. This will be supplemented with a brief crash course on HTML and CSS to illustrate how JavaScript components fit into a complete web application.As you learn the concepts, you can try them in your own editor or browser console to get a solid understanding of how they work and what they do. By the end of this JavaScript book, you will feel confident writing core JavaScript code and be equipped to progress to more advanced libraries, frameworks, and environments such as React, Angular, and Node.js.
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.
Building and implementing deep learning (DL) is becoming a key skill for those who want to be at the forefront of progress.But with so much information and complex study materials out there, getting started with DL can feel quite overwhelming.Written by an AI thought leader, Deep Learning with PyTorch Lightning helps researchers build their first DL models quickly and easily without getting stuck on the complexities. With its help, you’ll be able to maximize productivity for DL projects while ensuring full flexibility – from model formulation to implementation.Throughout this book, you’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. You’ll build a neural network architecture, deploy an application from scratch, and see how you can expand it based on your specific needs, beyond what the framework can provide.In the later chapters, you’ll also learn how to implement capabilities to build and train various models like Convolutional Neural Nets (CNN), Natural Language Processing (NLP), Time Series, Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) using PyTorch Lightning.By the end of this book, you’ll be able to build and deploy DL models with confidence.
Test Studio is Telerik's QA solution for automating your manual testing. With Test Studio's standalone edition or Visual Studio plugin, you can rule out the possibility of unreliable test execution and UI recognition, non indicative test results and reports, dispersed test repository, low code coverage, and unaffordable learning curves. With no code, this tool provides an intuitive IDE to effortlessly create maintainable tests. If you are looking for a solution to automate testing for your web, desktop, or mobile application, you can now benefit from Test Studio's rich automation features.Learning Software Testing with Test Studio will illustrate how to reliably automate test cases when it is time to relinquish manual testing habits. This book is all about less theory and more hands-on examples to present a complete manual and automated solution for your ASP .NET, WPF, Silverlight or iOS apps.This book gets you started directly with automation in Test Studio by exploiting its recording powers through series of concrete test cases built around the equipped applications. Each chapter starts with a typical automation problem which is then approached using Test Studio specialized automation features.You will learn how to create record and playback functional, performance, and load tests. Furthermore, we will see how to insert verification steps, logical constructs, convenient logging operations, and how to convert test scripts in order to implement keyword and data-driven architectures. To endow your tests with additional flexibility, each recorded automation feature will be approached from its coded perspective through the usage of the underlying ArtOfTest Test Studio automation library.This book also illustrates how Test Studio can automate pre-conditions, test result inputting, and the capturing of system states during manual test case execution in order to keep the tester's attention focused on the important details.
In the SOA world, managing distributed services and service infrastructures is critical. Oracle Enterprise Manager – an all-encompassing management product – facilitates increased management capabilities for databases, application servers, and packaged applications. BPEL PM and OSB are two compelling, market leading products that are driving Service-Oriented Architecture (SOA) implementation across enterprises.There is a lack of clarity around real-world operational use cases that would help operational administrators in their day-to-day tasks. Further, the documentation available online does not provide much information on administering BPEL PM and OSB with Enterprise Manager Grid Control efficiently.This book will help you set up the framework for managing operational tasks from a central location using Oracle Enterprise Manager Grid Control in a step-by-step functional approach. You will learn to automate various operational tasks that are essential for the smooth running of Oracle SOA products in production, thus increasing the efficiency of your SOA projects.This book shows how top-drawer management capabilities from Oracle Enterprise Manager Grid Control can be used to effectively manage your Oracle SOA environment. You start by discovering one or more BPEL and OSB components centrally. The book then explains how to monitor BPEL processes and OSB services, and how to get alerts on service availability and performance problems. It covers the management of BPEL and OSB infrastructure components and how to manage their configurations in a central repository. It follows a hands-on approach, showing you how to use an automated approach for deploying BPEL processes and OSB projects.By the end of this book, you will have learned several techniques to set up a framework that will help you manage your SOA environment from a central location.
Blender is the most important up-and-coming 3D software package in the world. EEVEE, a state-of-the-art real-time rendering engine is a fairly new addition to Blender and provides the capacity to create artwork at blazing speed, almost 12 times faster than Cycles.Lighting, Shading, and Rendering with Blender’s EEVEE provides a high-level overview of what EEVEE is capable of, then teaches users about Geometry Nodes, Rendering Techniques, using shortcuts like Kitbashing and Alphas to speed up scene creation, volumetrics, reflections, adding lights, cameras and even special effects like fire and smoke, all in EEVEE. All of this is in the context of creating actual scenes that readers will work through from start to finish. By the time a Blender Artist completes the book, they will have created three separate works that have challenged them to iterate and design with the full power of Blender’s EEVEE.
Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10.Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community.If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Network automation offers a powerful new way of changing your infrastructure network. Gone are the days of manually logging on to different devices to type the same configuration commands over and over again. With this book, you'll find out how you can automate your network infrastructure using Python.You'll get started on your network automation journey with a hands-on introduction to the network programming basics to complement your infrastructure knowledge. You'll learn how to tackle different aspects of network automation using Python programming and a variety of open source libraries. In the book, you'll learn everything from templating, testing, and deploying your configuration on a device-by-device basis to using high-level REST APIs to manage your cloud-based infrastructure. Finally, you'll see how to automate network security with Cisco’s Firepower APIs.By the end of this Python network programming book, you'll have not only gained a holistic overview of the different methods to automate the configuration and maintenance of network devices, but also learned how to automate simple to complex networking tasks and overcome common network programming challenges.
Alkin Tezuysal, Ibrar Ahmed, Peter Zaitsev
Database Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms.As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you’ll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world.By the end of this book, you’ll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.
Tableau is one of the leading data visualization tools and is regularly updated with new functionalities and features. The latest release, Tableau 2019.2, promises new and advanced features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2019.2 will get you up to speed with these additional functionalities.The book starts by highlighting the new functionalities of Tableau 2019.2, providing concrete examples of how to use them. However, if you're new to Tableau, you won't have to worry as the book also covers the major aspects of Tableau with relevant examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and even share data online. In the concluding chapters, you'll delve into advanced techniques such as creating a cross-database join and data blending.By the end of this book, you will be able to use Tableau effectively to create quick, cost-effective, and business-efficient Business Intelligence (BI) solutions.