Clean Code Resources and Practical Implementation

2025-02-11

Clean code is a cornerstone of effective software development. Below, we’ll explore practical examples and commands to help you implement clean code principles in your projects. These examples are tailored for Linux-based development environments, ensuring you can apply them directly.

1. Writing Clean Bash Scripts

Bash scripts are often prone to becoming messy. Here’s how to write clean and maintainable Bash scripts:

#!/bin/bash

<h1>Function to check if a file exists</h1>

file_exists() {
local file="$1"
if [[ -f "$file" ]]; then
echo "File exists: $file"
else
echo "File does not exist: $file"
fi
}

<h1>Main script logic</h1>

main() {
local file_path="/path/to/your/file.txt"
file_exists "$file_path"
}

<h1>Execute the main function</h1>

main

2. Refactoring Python Code

Refactoring is key to maintaining clean code. Here’s an example of refactoring a Python function:


<h1>Before Refactoring</h1>

def calculate_area(shape, dimensions):
if shape == "circle":
return 3.14 * dimensions[0] ** 2
elif shape == "rectangle":
return dimensions[0] * dimensions[1]
elif shape == "triangle":
return 0.5 * dimensions[0] * dimensions[1]

<h1>After Refactoring</h1>

import math

def calculate_circle_area(radius):
return math.pi * radius ** 2

def calculate_rectangle_area(length, width):
return length * width

def calculate_triangle_area(base, height):
return 0.5 * base * height

3. Using Git for Clean Version Control

Git is essential for maintaining clean codebases. Here are some commands to keep your Git workflow clean:


<h1>Squash commits for a cleaner history</h1>

git rebase -i HEAD~5

<h1>Remove untracked files</h1>

git clean -fd

<h1>Stash changes temporarily</h1>

git stash

<h1>Apply stashed changes</h1>

git stash apply

4. Automating Code Formatting with Prettier

For JavaScript/TypeScript projects, Prettier ensures consistent code formatting:


<h1>Install Prettier</h1>

npm install --save-dev prettier

<h1>Format all files in the project</h1>

npx prettier --write .

5. Clean Code in Docker

Dockerfiles can also benefit from clean code practices:


<h1>Use multi-stage builds to keep images small</h1>

FROM node:14 as build
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build

FROM nginx:alpine
COPY --from=build /app/build /usr/share/nginx/html
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]

What Undercode Say

Clean code is not just about readability; it’s about creating a maintainable, scalable, and efficient codebase. Here are some additional Linux and IT-related commands to enhance your clean code journey:

1. Linting Python Code:

pip install pylint
pylint your_script.py

2. Static Analysis for Bash:

sudo apt install shellcheck
shellcheck your_script.sh

3. Code Coverage in Python:

pip install pytest-cov
pytest --cov=your_module tests/

4. Docker Cleanup:

docker system prune -a

5. Git Hooks for Automation:


<h1>Add a pre-commit hook</h1>

echo "#!/bin/sh" > .git/hooks/pre-commit
echo "npm run lint" >> .git/hooks/pre-commit
chmod +x .git/hooks/pre-commit

6. Monitoring System Resources:

htop

7. Network Troubleshooting:

ping google.com
traceroute google.com

8. File Permissions:

chmod 755 your_script.sh

9. Process Management:

ps aux | grep your_process
kill -9 PID

10. Log Analysis:

tail -f /var/log/syslog
grep "error" /var/log/syslog

By integrating these practices and commands into your workflow, you’ll not only write cleaner code but also improve your overall development efficiency. Clean code is a continuous journey, and these tools and techniques will help you stay on the right path.

For further reading, check out the resources mentioned in the original post, such as Refactoring Guru and Code Katas. Happy coding!

References:

Hackers Feeds, Undercode AIFeatured Image

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