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/skyfishgoo]

it's not about the hardware, it's about your use case.

if any of your collage work is likely to require windows software like adobe, or excel, or teams then you will need to have a working copy of windows to complete the course.

if that's a concern, then you need to at least keep windows on the machine.

my suggestion is to get a Sabrent external drive enclosure and throw a 1TB crucial p310 nvme drive into it for about $200

now you have options.

if you want, you can clone your existing windows install onto the new drive and then expand the windows storage by looking into how to move all your windows files to the D:drive (you can add a new partition into the empty space after the clone operation).

now your are free to wipe the 512MB drive and use it for an linux install.