Go for Data Processing: Working with CSV and JSON Files
Go for Data Processing: Working with CSV and JSON Files
The Go language is known for its simplicity, efficiency, and powerful standard library, making it a great choice for data processing tasks. This article will provide a comprehensive guide to working with CSV and JSON files in Go.
Prerequisites
- Go installed (version
1.16
or later) - Basic knowledge of Go programming language
Table of Contents:
Processing CSV Files in Go
Reading CSV Files
Let’s start by reading a CSV file. Go has an in-built encoding/csv package for dealing with CSV data.
Create a new file read_csv.go
and add the following code:
This code opens a file named data.csv
, reads it as a CSV file, and prints each record (row).
Writing CSV Files
Similarly, we can write CSV data with the encoding/csv
package. The following code writes some data to a CSV file:
This code writes the data array to a file named output.csv
.
Processing JSON Files in Go
Reading JSON Files
Go has an in-built encoding/json
package for dealing with JSON data. The following code reads a JSON file:
This code opens a file named data.json
, reads it as a JSON file, and prints each object.
Writing JSON Files
We can also write JSON data with the encoding/json
package. Here is how to write some data to a JSON file:
This code writes the people slice to a file named output.json
.
Conclusion
In this article, we explored how to use Go to read and write CSV and JSON files. With its powerful standard library, Go makes these common data processing tasks simple and efficient. Whether you’re dealing with small data files or large datasets, Go is an excellent tool for your data processing needs.
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