Practical Systems Programming in Go: A hands-on guide to designing and building real-world systems software in Go

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Master systems programming in Go by building real command-line tools, web services, time-series analysis applications, and concurrent networked systems that interact directly with the operating system.

Key Features

Build real-world systems tools in Go, including CLIs, servers, and interpreters.
Master Go systems programming concepts, such as concurrency, networking, and OS integration.
Apply Go to data-intensive workloads, including time series analysis and data mining.
Go has become a leading language for Systems Programming thanks to its simplicity, strong concurrency model, and excellent performance. Practical Systems Programming in Go shows how to use Go beyond application development by building software that interacts with the operating system, networks, and data at scale.

The book starts with a focused introduction to Go, covering the language features and standard packages most relevant to systems programming, including those handling concurrency, interfaces, testing, and runtime internals. It then moves into essential system-level topics such as file handling and I/O, UNIX signals, file systems, structured data formats, databases, and TCP/IP networking. Readers build practical command-line tools, web services, and network clients and servers along the way. In the final section, the book explores advanced applications, including writing an interpreter for a small programming language, processing time series data, building data-mining tools, and creating efficient indexes for UNIX file systems.

By the end, readers will be able to design and implement robust systems software in Go for real-world environments.

What you will learn

Create command-line utilities using Go
Work with files, directories, and UNIX signals
Build TCP/IP clients and servers in Go
Write concurrent programs using goroutines and channels
Develop web services and networked applications
Implement interpreters for custom programming languages
Process and analyze time series data
Understand Go internals and system-level performance