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Hands-On High Performance with Go

You're reading from   Hands-On High Performance with Go Boost and optimize the performance of your Golang applications at scale with resilience

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789805789
Length 406 pages
Edition 1st Edition
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Author (1):
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Bob Strecansky Bob Strecansky
Author Profile Icon Bob Strecansky
Bob Strecansky
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Learning about Performance in Go
2. Introduction to Performance in Go FREE CHAPTER 3. Data Structures and Algorithms 4. Understanding Concurrency 5. STL Algorithm Equivalents in Go 6. Matrix and Vector Computation in Go 7. Section 2: Applying Performance Concepts in Go
8. Composing Readable Go Code 9. Template Programming in Go 10. Memory Management in Go 11. GPU Parallelization in Go 12. Compile Time Evaluations in Go 13. Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind
14. Building and Deploying Go Code 15. Profiling Go Code 16. Tracing Go Code 17. Clusters and Job Queues 18. Comparing Code Quality Across Versions 19. Other Books You May Enjoy

Go list

go list performs the action of listing named packages and modules, as well as displaying important build information about files, imports, and dependencies. The invocation stanza for go list is usage: go list [-f format] [-json] [-m] [list flags] [build flags] [packages].

Having access to the data structures that are the main pieces of the build process is powerful. We can use go list to find out a lot about the programs that we are building. For example, take the following simple program, which prints a message and computes a square root for the end user:

package main


import (
"fmt"
"math"
)


func main() {
fmt.Println("Hello Gophers")
fmt.Println(math.Sqrt(64))
}

If we want to find out about all the dependencies that we have for our particular project, we can invoke the go list -f '{{.Deps}}' command.

The result will be a...

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