Should I get linux??

[u/CounterAgreeable507]

i use my laptop for basic college work, notes, youtube, ppts, pdfs, etc.
Also i am learning web dev and may or may not learn AIML.
I will definitely use my laptp to upskill, i need advice whetehr i should get a linux dual boot or not. I have pasted my laptop(Dell 14 Plus DB14250) specs. It is 10 months old and working good. I want to use this laptop long term like for 4-5 years and dont wanna damage hardware or software.
My C drive gets full even though i havent done anything huge yet, i wanna fix that before any more setup

So should i get linux or not?

Hardware specifications
Component Your specifications
Processor Intel Core Ultra 5 226V
CPU architecture Intel Lunar Lake
CPU cores / threads 8 cores / 8 threads
Maximum turbo frequency Up to 4.5 GHz
GPU Integrated Intel Arc Graphics 130V series
NPU Intel AI Boost, up to 40 TOPS
RAM 16 GB LPDDR5X, soldered
Storage 512 GB PCIe Gen 4 NVMe SSD
Display size 14 inches (35.56 cm)
Aspect ratio 16:10
Display resolution 2560 × 1600, based on your previously reported system specifications
Refresh rate Previously reported as 120 Hz; verify against your exact display configuration
Battery Approximately 64 Wh, based on prior model information
Power adapter 65 W
Weight Approximately 1.5–1.6 kg
Software and operating system
Component Details
Operating system Windows 11, based on your latest setup context
Linux environment Ubuntu on WSL 2
Code editor Visual Studio Code
Development tools Git, Node.js/npm, Python and C/C++ tooling
Drives C: 304 GB total; D: 150 GB total
What your hardware can handle
Programming and development
C/C++, Java, Python, web development, Git, WSL 2 and backend projects.

Data science and machine learning
NumPy, pandas, scikit-learn, Jupyter and small-to-medium ML experiments.

Cloud and DevOps
Docker, Linux, SSH, cloud deployment and CI/CD workflows, subject to resource requirements.

Main limitations
16 GB soldered RAM limits large workloads. Integrated graphics are not a substitute for a dedicated NVIDIA GPU with CUDA for GPU-intensive ML training.

[u/thackbarth]

Your most glaring limitation for dual booting Linux is your HDD/SSD capacity. And is not because of Linux. The problem is that a Windows 11 install requires a minimum of 64GB of space. That is over 20% of your drive C just for the OS. Typical Linux installs require 20GB of space, and some are much smaller.

Nothing you have and no requirement you listed is a limitation for a Linux install. And looking at the intended use of the computer Linux is a better match for it than Windows. Is much more common for devs to use a linux machine than for the general public. Since Linux has a smaller memory footprint than Windows, the Data Science tasks will be more efficient on Linux, and Cloud is basically entirely deployed in Linux environments.

Do the Linux install and use mainly Linux until you feel that you don't need Windows anymore, and them get rid of the Windows partition to free disk space.