Whether you want to automate tasks, analyze data, parse logs, talk to network services, or address other systems requirements, writing your own command-line tool may be the fastest - and perhaps the most fun - way to do it. The Go programming language is a great choice for developing tools that are fast, reliable, and cross-platform. Create command-line tools that work with files, connect to services, and even manage external processes, all while using tests and benchmarks to ensure your programs are fast and correct. When you want to develop cross platform command-line tools that are fast and reliable, use Go, a modern programming language that combines the reliability of compiled languages with the ease of use and flexibility of dynamic typed languages. Work through practical examples to develop elegant and efficient tools by applying Go's rich standard library, its built in support for concurrency, and its expressive syntax. Use Go's integrated testing capabilities to automatically test your tools, ensuring they work reliably even across code refactoring. Develop CLI tools that interact with your users by using common input/output patterns, including environment variables and flags. Handle files to read or persist data, and manipulate paths consistently in cross-platform scenarios. Control processes and handle signals, and use a benchmark driven approach and Go's concurrency primitives to create tools that perform well. Use powerful external libraries such as Cobra to create modern and flexible tools that handle subcommands, and develop tools that interact with databases, APIs, and network services. Finally, leverage what you learned by tackling additional challenges at the end of each chapter. What You Need: Go 1.8 or higher, an internet connection to download the example files and additional libraries, and a text editor to write your programs.
Take control of your home and your data with the power of the Go programming language. Build extraordinary and robust home automation solutions that rival much more expensive, closed commercial alternatives, using the same tools found in high-end enterprise computing environments. Best-selling Pragmatic Bookshelf authors Ricardo Gerardi and Mike Riley show how you can use inexpensive Raspberry Pi hardware and excellent, open source Go-based software tools like Prometheus and Grafana to create your own personal data center. Using the step-by-step examples in the book, build useful home automation projects that you can use as a blueprint for your own custom projects. With just a Raspberry Pi and the Go programming language, build your own personal data center that coordinates and manages your home automation, leveraging the same high-powered software used by large enterprises. The projects in this book are easy to assemble, no soldering or electrical engineering expertise required. Build a temperature monitor that can send alerts any time defined thresholds are exceeded and report the temperature readings on a time-based series chart. Change the color of lights to visually indicate the current outdoor weather status. Create a networked motion detector that triggers an alert any time motion is detected, such as a door opening or closing, a pet wandering around, or deliveries or visitors arriving on your front porch. Even have these triggers initiate a more complex Go-based automation sequence. Integrate a small, high-resolution camera into a bird feeder that takes excellent, up-close photos whenever a bird perches at the feeder, and broadcasts them to your Discord server where your family and friends can see these wildlife captures in real time. Control your home with hardware you configure, and manage it with Go code that you create and modify any time you want to enhance your home automation capabilities. What You Need: Readers should be familiar with the Go programming language and have working knowledge of Linux. Free, open source Go-based libraries and utilities are available for download from the Internet. Readers will also need a working Raspberry Pi 3+ or higher, and a Pi Pico W microcontroller. Several other inexpensive electronic parts (touch sensors, motion detectors) are also needed for some of the projects. A Philips Hue base lighting system is also needed for the weather monitor project.
Whether you want to automate tasks, analyze data, parse logs, talk to network services, or address other systems requirements, writing your own command-line tool may be the fastest - and perhaps the most fun - way to do it. The Go programming language is a great choice for developing tools that are fast, reliable, and cross-platform. Create command-line tools that work with files, connect to services, and even manage external processes, all while using tests and benchmarks to ensure your programs are fast and correct. When you want to develop cross platform command-line tools that are fast and reliable, use Go, a modern programming language that combines the reliability of compiled languages with the ease of use and flexibility of dynamic typed languages. Work through practical examples to develop elegant and efficient tools by applying Go's rich standard library, its built in support for concurrency, and its expressive syntax. Use Go's integrated testing capabilities to automatically test your tools, ensuring they work reliably even across code refactoring. Develop CLI tools that interact with your users by using common input/output patterns, including environment variables and flags. Handle files to read or persist data, and manipulate paths consistently in cross-platform scenarios. Control processes and handle signals, and use a benchmark driven approach and Go's concurrency primitives to create tools that perform well. Use powerful external libraries such as Cobra to create modern and flexible tools that handle subcommands, and develop tools that interact with databases, APIs, and network services. Finally, leverage what you learned by tackling additional challenges at the end of each chapter. What You Need: Go 1.8 or higher, an internet connection to download the example files and additional libraries, and a text editor to write your programs.
Take control of your home and your data with the power of the Go programming language. Build extraordinary and robust home automation solutions that rival much more expensive, closed commercial alternatives, using the same tools found in high-end enterprise computing environments. Best-selling Pragmatic Bookshelf authors Ricardo Gerardi and Mike Riley show how you can use inexpensive Raspberry Pi hardware and excellent, open source Go-based software tools like Prometheus and Grafana to create your own personal data center. Using the step-by-step examples in the book, build useful home automation projects that you can use as a blueprint for your own custom projects. With just a Raspberry Pi and the Go programming language, build your own personal data center that coordinates and manages your home automation, leveraging the same high-powered software used by large enterprises. The projects in this book are easy to assemble, no soldering or electrical engineering expertise required. Build a temperature monitor that can send alerts any time defined thresholds are exceeded and report the temperature readings on a time-based series chart. Change the color of lights to visually indicate the current outdoor weather status. Create a networked motion detector that triggers an alert any time motion is detected, such as a door opening or closing, a pet wandering around, or deliveries or visitors arriving on your front porch. Even have these triggers initiate a more complex Go-based automation sequence. Integrate a small, high-resolution camera into a bird feeder that takes excellent, up-close photos whenever a bird perches at the feeder, and broadcasts them to your Discord server where your family and friends can see these wildlife captures in real time. Control your home with hardware you configure, and manage it with Go code that you create and modify any time you want to enhance your home automation capabilities. What You Need: Readers should be familiar with the Go programming language and have working knowledge of Linux. Free, open source Go-based libraries and utilities are available for download from the Internet. Readers will also need a working Raspberry Pi 3+ or higher, and a Pi Pico W microcontroller. Several other inexpensive electronic parts (touch sensors, motion detectors) are also needed for some of the projects. A Philips Hue base lighting system is also needed for the weather monitor project.
This book examines the role of uncertainty on financial decisions - and, consequently, on financial markets - in the buildup to and aftermath of the Great Recession. It tracks the significant growth and important structural changes in the financial sector during the past few decades, both of which made the economy more vulnerable to perceptions of risk in the markets. Halperin argues that conventional economic models have lost relevance by failing to take these developments into account appropriately, and also explains that because of financial globalization we can no longer understand what happens in the economies of major countries by relying on "closed-economy" thinking. The book concludes with a list of policy recommendations designed to increase the resilience of the financial markets to negative economic developments and to reduce incentives for risk taking, including a proposal to eliminate the double taxation of dividends.
Since the arrival of the Spanish in the sixteenth century, the Maya population of Guatemala has been forced to adapt to extraordinary challenges. Under colonial rule, the Indians had to adapt enough to satisfy the Spanish while resisting those changes not necessary for survival, applying their understanding of the world to the realities they confronted daily. Despite the major changes wrought in their way of life by centuries of submission, the Maya have managed to regenerate, and thus maintain, their self-identity. Among the major challenges they have faced has been the imposition of outside religions. Quiché Rebelde examines what happened when Acción Católica came into the Guatemalan municipio of San Antonio Ilotenango, Quiché, to convert its inhabitants. Ricardo Falla, a Guatemalan Jesuit priest and anthropologist, analyzes the movement's origins and why some people became part of it while others resisted. He shows how religion was used as another tool to readapt to the changing environment—natural, economic, political, and social. His work is the first major empirical study of how change occurred in a Maya community with no serious loss of Maya identity—and how the process of conversion is related to more general processes of cultural change that actually strengthen ethnic identity.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.