PowerShell Pocket Reference, 3rd EditionThis portable reference to PowerShell summarizes the command shell and scripting language and provides a concise guide to the many tasks that make PowerShell so useful. If you're a busy administrator and don't have time to plow through huge books or in-depth online searches, this is the ideal on-the-job tool.
Written by PowerShell team member Lee Holmes and excerpted from his PowerShell Cookbook, this edition offers up-to-date coverage of Windows PowerShell 5.1 and open source PowerShell Core up to 7 and beyond.
Beginning with a guided tour of PowerShell, this handy guide covers:
- PowerShell language and environment;
- Regular expression reference;
- XPath quick reference;
- .NET string formatting;
- .NET DateTime formatting;
- Selected .NET classes and their uses;
- WMI reference;
- Selected COM objects and their uses;
- Standard PowerShell verbs. ...
Advancing into AnalyticsData analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language.
Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.
This practical book guides you through:
- Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analytics;
- From Excel ...
Hands-On Data VisualizationTell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub.
Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.
- Build interactive charts and maps and embed them in your website;
- Understand the principles for designing effective charts and maps;
- Learn key data visualization concepts to help you choose the righ ...
The Deno HandbookDeno is a runtime for JavaScript and TypeScript that is based on the V8 JavaScript engine and the Rust programming language.
The Deno Handbook follows the 80/20 rule: learn in 20% of the time the 80% of a topic. In particular, the goal is to get you up to speed quickly with Deno. ...
The Common Java CookbookThis book focuses on tactical implementation details, answering such questions as: How do we parse XML? How do we serialize beans? Is there an easier way to work with Collections? How do we work with HTTP and keep track of cookies? In enterprise software development, the tactical is often sacrificed for the strategic. Consider a complex enterprise-scale system with a solid, well-conceived architecture. The strategic (or high-level) design appears reasonable from 40,000 feet, but as soon as you drill into the details, you notice that every component contains pages upon pages of unmaintainable and unnecessary code because the developers were not aware of some valuable time-saver like BeanUtils, Collections, or the Digester. Or, worse, the developer may have spent a week reimplementing most of the capabilities of Commons BeanUtils even though BeanUtils was already in the classpath. While a familiarity with Apache Commons may not directly affect the architecture of your application, knowin ...
Visualizing Data in R 4Master the syntax for working with R's plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed.
Visualizing Data in R 4 starts with an introduction and then is split into two parts and six appendices. Part I covers the function plot() and the ancillary functions you can use with plot(). You'll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2. The default plots generated by the functions qplot() and g ...
Chaos EngineeringAuto engineers test the safety of a car by intentionally crashing it and carefully observing the results. Chaos engineering applies the same principles to software systems. In Chaos Engineering: Site reliability through controlled disruption, you'll learn to run your applications and infrastructure through a series of tests that simulate real-life failures. You'll maximize the benefits of chaos engineering by learning to think like a chaos engineer, and how to design the proper experiments to ensure the reliability of your software. With examples that cover a whole spectrum of software, you'll be ready to run an intensive testing regime on anything from a simple WordPress site to a massive distributed system running on Kubernetes.
Can your network survive a devastating failure? Could an accident bring your day-to-day operations to a halt? Chaos engineering simulates infrastructure outages, component crashes, and other calamities to show how systems and staff respond. Testing systems ...
Designing Cloud Data PlatformsCentralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you'll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You'll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it.
Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you ...
The Joy of JavaScriptWhether building interactive browser-based applications or creating server-side applications in Node, JavaScript is the most widely used language for web programming. With new features, language improvements, paradigms, and potential use cases appearing regularly, there's never been a more exciting time to be a JavaScript developer. In The Joy of JavaScript, author and JavaScript expert Luis Atencio teaches you key design concepts that lead to clean, lean, modular, and easy-to-maintain code.
JavaScript is at the heart of web applications on the browser side and, via the popular Node.js runtime, it often powers the server side too. Simply put, the web runs on JavaScript.
The Joy of JavaScript introduces techniques that turn JavaScript programmers into JavaScript pros. You'll work with cutting edge APIs, language features, and coding styles to tackle tricky problems in an elegant manner. Along the way, you'll practice good object design, drive business logic with functional thinkin ...
Data Pipelines with Apache AirflowA successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.
Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task.
Data Pipelines with Apache Airflow teaches you how to build an ...