Gain insights into Go's concurrency, delve into efficient programming techniques, learn advanced concepts, and discover how to enhance performance and robustness in your applications.

TarballFiber.tar.gz

raceFlag

server side

user input

server side-copy

serverJob

Go (also known as Golang) is one of the most popular languages today and is a key part of many enterprise tech stacks. Because Go's memory management architecture makes concurrency easier, many developers prefer it over traditional languages.

In this course, you will learn the core constructs and techniques of Go as well as advanced concepts of the language. In particular, you’ll learn how to program efficiently by becoming aware of the pitfalls and patterns that are commonly encountered in Go and by building your own applications.

Once you’ve completed this course, you will be able to write concurrent programs and improve the performance of existing ones, thus creating a more robust experience for everyone. Concurrency is in high demand today since it enables developers to reduce execution time of applications significantly, and Golang provides a very rich support for achieving this.

Concurrency in Go

## Problem statement

Let’s work on an easy challenge that consists of these four steps:


1. Read the data from the file and store it in an array of strings. Follow the steps below:
   1. Open the file and read the data. If the file is unreadable, it will throw an error. 

   2. Create the output channel.

   3. Import the `encoding/csv` package `encoding/csv` to perform the operations on the CSV file.

   4. Initialize the reading of the file line by the line inside a goroutine. Use `NewReader` and `FieldsPerRecord` inside the goroutine to read the CSV file.


2.Swap the values in the following format. Use input from the previous          steps and pass the channel to the next step.
   ```go
   c[0], c[1], c[2] = c[1], c[2], c[0]
   ```

3. Concatenate `9` at the start and `0` at the end of each array value.


* Display the array:

   ```go
   fmt.Sprintf("First: %s, Second: %s, Third: %s", c[0], c[1], c[2])
   ```

>**Note:**  We can also write everything in the same file, but writing each function in a new file makes it easy to use and understand.


## Code

Write your solution in the comments below:






# Problem statement

Let’s work on an easy challenge that consists of these four steps:


1. Read the data from the file and store it in an array of strings. Follow the steps below:
   1. Open the file and read the data. If the file is unreadable, it will throw an error. 

   2. Create the output channel.

   3. Import the `encoding/csv` package `encoding/csv` to perform the operations on the CSV file.

   4. Initialize the reading of the file line by the line inside a goroutine. Use `NewReader` and `FieldsPerRecord` inside the goroutine to read the CSV file.


2.Swap the values in the following format. Use input from the previous          steps and pass the channel to the next step.
   ```go
   c[0], c[1], c[2] = c[1], c[2], c[0]
   ```

3. Concatenate `9` at the start and `0` at the end of each array value.


* Display the array:

   ```go
   fmt.Sprintf("First: %s, Second: %s, Third: %s", c[0], c[1], c[2])
   ```

>**Note:**  We can also write everything in the same file, but writing each function in a new file makes it easy to use and understand.


# Code

Write your solution in the comments below:






Learn to use the pipeline pattern and see its practical implementation.


Challenge: Write Code with a Pipeline Pattern

Learn to use the pipeline pattern and see its practical implementation.

Introduction to Concurrency

General Concepts

Sync

Goroutines

Channels

Implementing Concurrency Patterns

Conclusion

Challenge: Write Code with a Pipeline Pattern

Problem statement