DEV Community: Rubitha Duraisamy

Day 2 Advance git commands

Rubitha Duraisamy — Mon, 28 Apr 2025 09:58:35 +0000

Posting Project to GitHub — Full Commands

Initialize Git (only if not already done)
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git init
👉 This makes your project folder a Git repository.
Add all files
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git add .
👉 This stages all the files to be committed.
Commit your changes
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git commit -m "Initial commit"
👉 This saves your changes with a message.
Create a repository on GitHub
Go to https://github.com

Click ➡️ New Repository

Don't initialize with README (you already have files locally).

Copy the GitHub URL (it looks like https://github.com/username/repo-name.git)

Connect local repo to GitHub
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git remote add origin https://github.com/username/repo-name.git
👉 Replace https://github.com/username/repo-name.git with your actual GitHub repo URL.
Push to GitHub
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git push -u origin main
👉 If your branch is called master instead of main, then:

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git push -u origin master
✅ Your project will now be live on GitHub

git blame
See who changed each line of a file and when.

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git blame filename
Useful for debugging historical changes in the code

DAY 2 DOCKER IMAGE

Rubitha Duraisamy — Sat, 26 Apr 2025 02:00:47 +0000

Hey everyone! 👋

Today, I’m excited to share how I containerized a simple Machine Learning project using Docker. If you’re new to Docker or Machine Learning, don't worry — I’ll explain everything step-by-step!

When building ML projects, the environment (Python version, libraries, dependencies) matters a lot.
Docker helps you create a consistent environment that works everywhere — on your machine, on the cloud, and even for your teammates.

Benefits:

No "it works on my machine" problem.
Easy to deploy anywhere.
Cleaner project structure

🛠️ Setting Up the Project
Here’s a simple project structure:

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machine_learning/
│
├── hello_world.py
└── Dockerfile

📦 Writing the Dockerfile
To containerize this project, I created a Dockerfile:

🛠️ Building the Docker Image
Inside the project folder, I opened the terminal and ran:

Start the Docker:

🚀 Running the Container
Now, I can run my Machine Learning project inside the container:

Day 1 Assignment

Rubitha Duraisamy — Thu, 24 Apr 2025 00:01:24 +0000

Essential Git Commands You Should Know as a Developer
Git is the backbone of modern development. Whether you’re working solo or collaborating with a team, understanding Git is non-negotiable.
Here’s a crisp guide to the must-know Git commands every developer should master!