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Podcasty
Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications.Starting with an overview of modern JavaScript, you’ll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You’ll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you’ll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you’ll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js.By the end of this app development book, you’ll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.
Adobe Captivate Prime is an enterprise learning management system (LMS) that enables organizations to deliver, manage, and track engaging learning experiences for employees, partners, and customers. This book will help you unlock the full potential of this platform to deliver world-class learning experiences.Complete with walkthroughs, examples, and strategies to fully understand Captivate Prime, this book will set you on the path to becoming an administrator, author, or teacher and see you experiment with Captivate Prime from different perspectives. You'll gain an in-depth understanding of how the features relate to one another and to your business.After setting up the platform, you'll learn how to push learning content online and arrange it to build an online course that provides a blended learning experience. You'll be able to deploy your content to different devices and explore Captivate Prime's features for monitoring your students' progress on a daily basis. Finally, you'll see how to organize and maintain your course catalog and take the learner experience to the next level.By the end of the book, you’ll be able to implement your organization’s training strategy and provide engaging learning experiences while building meaningful reports to monitor their effectiveness.
Alex Kapranoff, Rainer Duffner, Antonio Almeida, Alexey Kapranov
Nginx is clearly winning the race to be the dominant software to power modern websites. It is fast and open source, maintained with passion by a brilliant team. This book will help you maintain your Nginx instances in a healthy and predictable state.It will lead you through all the types of problems you might encounter as a web administrator, with a special focus on performance and migration from older software.You will learn how to write good configuration files and will get good insights into Nginx logs. It will provide you solutions to problems such as missing or broken functionality and also show you how to tackle performance issues with the Nginx server. A special chapter is devoted to the art of prevention, that is, monitoring and alerting services you may use to detect problems before they manifest themselves on a big scale. The books ends with a reference to error and warning messages Nginx could emit to help you during incident investigations.
Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz
Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems.This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers.By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products:• Cloud Native Development Patterns and Best Practices by John Gilbert• Cloud Native Architectures by Erik Farr et al.
Kieran Kavanagh, Priyanka Vergadia
Most companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies.You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process.By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.
Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your data, and you'll explore graphical and numerical techniques using the R language.This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems.By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, uncover hidden insights, and present your results in a business context.
Linux Service Management Made Easy with systemd will provide you with an in-depth understanding of systemd, so that you can set up your servers securely and efficiently.This is a comprehensive guide for Linux administrators that will help you get the best of systemd, starting with an explanation of the fundamentals of systemd management.You’ll also learn how to edit and create your own systemd units, which will be particularly helpful if you need to create custom services or timers and add features or security to an existing service. Next, you'll find out how to analyze and fix boot-up challenges and set system parameters. An overview of cgroups that'll help you control system resource usage for both processes and users will also be covered, alongside a practical demonstration on how cgroups are structured, spotting the differences between cgroups Version 1 and 2, and how to set resource limits on both. Finally, you'll learn about the systemd way of performing time-keeping, networking, logging, and login management. You'll discover how to configure servers accurately and gather system information to analyze system security and performance. By the end of this Linux book, you’ll be able to efficiently manage all aspects of a server running the systemd init system.
Eric Tome, Rupam Bhattacharjee, David Radford
Most data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount.This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.
The second edition of LaTeX Cookbook offers improved and additional examples especially for users in science and academia, with a focus on new packages for creating graphics with LaTeX. This edition also features an additional chapter on ChatGPT use to improve content, streamline code, and automate tasks, thereby saving time. This book is a practical guide to utilizing the capabilities of modern document classes and exploring the functionalities of the newest LaTeX packages. Starting with familiar document types like articles, books, letters, posters, leaflets, and presentations, it contains detailed tutorials for refining text design, adjusting fonts, managing images, creating tables, and optimizing PDFs. It also covers elements such as the bibliography, glossary, and index. You’ll learn to create graphics directly within LaTeX, including diagrams and plots, and explore LaTeX’s application across various fields like mathematics, physics, chemistry, and computer science. The book’s website offers online compilable code, an example gallery, and supplementary information related to the book, including the author’s LaTeX forum, where you can get personal support. By the end of this book, you’ll have the skills to optimize productivity through practical demonstrations of effective LaTeX usage in diverse scenarios.
Hamida Rebai Trabelsi, Lori Lalonde
To deliver software at a faster rate and reduced costs, companies with stable legacy systems and growing data volumes are trying to modernize their applications and accelerate innovation, but this is no easy matter. A Developer’s Guide to Building Resilient Cloud Applications with Azure helps you overcome these application modernization challenges to build secure and reliable cloud-based applications on Azure and connect them to databases with the help of easy-to-follow examples.The book begins with a basic definition of serverless and event-driven architecture and Database-as-a-Service, before moving on to an exploration of the different services in Azure, namely Azure APIManagement using the gateway pattern, event-driven architecture, Event Grid, Azure Event Hubs, Azure message queues, FaaS using Azure Functions, and the database-oriented cloud. Throughout the chapters, you’ll learn about creating, importing, and managing APIs and Service Fabric in Azure, and discover how to ensure continuous integration and deployment in Azure to fully automate the software delivery process, that is, the build and release process.By the end of this book, you’ll be able to build and deploy cloud-oriented applications using APIs, serverless, Service Fabric, Azure Functions, and Event Grid technologies.
jQuery Mobile is an award winning, HTML5/CSS3 based open source cross-platform UI framework. It offers a very cool and highly customizable UX. It is built on the popular jQuery library and uses declarative coding making it easy to use and learn. It is the market leader today considering the numerous browsers and platforms that it supports.jQuery Mobile Cookbook presents over a hundred recipes written in a simple and easy manner. You can quickly learn and start writing code immediately. Advanced topics such as using scripts to manipulate, customize, and extend the framework are also covered. These tips address your common everyday problems. The book is very handy for both beginner and experienced jQuery Mobile developers.You start by developing simple apps using various controls and learn to customize them. Later you explore using advanced aspects like configurations, events, and methods.Develop single and multi-page applications. Use caching to boost performance. Use custom transitions, icon sprites, styles, and themes. Learn advanced features like configurations, events, and methods. Explore future trends by using HTML5 new features and semantics with jQuery Mobile.jQuery Mobile Cookbook is an easy read and is packed with practical tips and screenshots.
Pedro M. Santos, Marco Consolaro, Alessandro Di Gioia
The number of popular technical practices has grown exponentially in the last few years. Learning the common fundamental software development practices can help you become a better programmer. This book uses the term Agile as a wide umbrella and covers Agile principles and practices, as well as most methodologies associated with it. You’ll begin by discovering how driver-navigator, chess clock, and other techniques used in the pair programming approach introduce discipline while writing code. You’ll then learn to safely change the design of your code using refactoring. While learning these techniques, you’ll also explore various best practices to write efficient tests. The concluding chapters of the book delve deep into the SOLID principles - the five design principles that you can use to make your software more understandable, flexible and maintainable. By the end of the book, you will have discovered new ideas for improving your software design skills, the relationship within your team, and the way your business works.
Clean Code in Python. Refactor your legacy code base
Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.
Qt is the leading cross-platform toolkit for all significant desktop, mobile, and embedded platforms and is becoming popular by the day, especially on mobile and embedded devices. It's a powerful tool that perfectly fits the needs of game developers. This book will help you learn the basics of Qt and will equip you with the necessary toolsets to build apps and games.The book begins by how to create an application and prepare a working environment for both desktop and mobile platforms. You will learn how to use built-in Qt widgets and Form Editor to create a GUI application and then learn the basics of creating graphical interfaces and Qt's core concepts.Further, you'll learn to enrich your games by implementing network connectivity and employing scripting. You will learn about Qt's capabilities for handling strings and files, data storage, and serialization.Moving on, you will learn about the new Qt Gamepad module and how to add it in your game and then delve into OpenGL and Vulcan, and how it can be used in Qt applications to implement hardware-accelerated 2D and 3D graphics. You will then explore various facets of Qt Quick: how it can be used in games to add game logic, add game physics, and build astonishing UIs for your games. By the end of this book, you will have developed the skillset to develop interesting games with Qt.