Respectfully, I'd consider another option besides just trying to force the code to run locally on your phone's hardware. I've been messing around with AI dev for a few years now, and while the first reply is right about phones being weak, they're actually AWESOME as thin clients if you use the right tools. Instead of a basic IDE, you really gotta look into Pydroid 3 - IDE for Python 3 for the basics, but for the heavy lifting like TensorFlow or PyTorch, you basically have to go cloud-based.

I've had a different experience than most because I found that Replit Core Subscription works surprisingly well on a mobile browser or their app. It lets you spin up a cloud environment that actually handles the dependencies without melting your phone. Another solid move is using DataCamp: Learn Data Science for the interactive tutorial side of things—it's super polished for mobile. Honestly, I'm pretty satisfied with how far mobile coding has come. I mean, you're not gonna train a LLM from scratch on the bus, but for sharpening skills? It totally works. I usually just remote into my home rig using RealVNC Viewer if I need to check on a long training run. Plus, it saves your battery life like crazy... basically a win-win. Just my two cents, but cloud-based is highkey the only way to stay sane lol. Good luck with the commute study sessions!! peace

Honestly, just stick with Kaggle Mobile App or their browser version. It's free, handles PyTorch or TensorFlow on their cloud GPUs, and wont kill ur battery like local coding.

Oh man, I totally feel u on this! I used to have a 45-minute train ride and was obsessed with trying to train models on my phone. Honestly, it's a nightmare trying to run local stuff cuz mobile hardware just isn't there yet for heavy neural networks... plus it kills ur battery.

Sooo, for your situation, I would suggest Google Colab Pro. Seriously, it’s been a lifesaver for me! It basically gives u a full Linux environment with NVIDIA A100 Tensor Core GPU access right in your mobile browser. I just use it with a Bluetooth keyboard and it’s amazing for running PyTorch or TensorFlow code on the go. If you want something more like a dedicated app with tutorials, Mimo: Learn Coding/Programming is lowkey great for Python basics, but for the heavy lifting? Colab is the goat. It's like $10 a month but totally worth it for the compute power!! gl!

Honestly, I’ve spent way too much time researching this because I didnt want to commit to a monthly sub just to code on the train. If youre worried about stability and dont want to blow your budget, you really should look at the market for cloud-based dev containers rather than just simple mobile apps. Yeah, I personally prefer GitHub Codespaces over the other big players because its backed by Microsofts infrastructure, which is SUPER reliable for keeping your work safe. They give you a generous free tier every month—usually around 60 hours—and it handles PyTorch or TensorFlow environments without breaking a sweat because it runs on actual server hardware, not your phone. Another one to compare is Gitpod. Its very similar, and they have a solid free plan too, though some people find there open-source approach a bit more trustworthy for privacy reasons. For a commute, both are basically free as long as you dont go overboard. Its a much safer bet for your phones battery life than trying to run local compilers which honestly just makes the device overheat. From a market perspective, these two are leading the way in thin client coding.

• GitHub Codespaces for the best free monthly allowance
• Gitpod if you prefer an open-source workflow Just make sure youre using a modern browser so the session stays active and doesnt drop your progress.

Finally someone says it. Ive been thinking this for a while but wasnt sure.

Wait really?? Thats actually super helpful. I always thought it was the other way around.

I actually spent most of last year trying to make this work during my own commute. Unfortunately, the whole experience was pretty miserable. I had issues with local environments constantly crashing and the performance was just not as good as expected for anything beyond basic scripts. I remember trying to run a small convolutional layer and my device literally started throttling within two minutes. It was honestly a waste of time trying to make local mobile chips do the heavy lifting.

• Just go with any tablet from Apple and use it to remote into a real machine.
• Get yourself a cloud instance from AWS and dont even bother with local mobile apps. I wasted so much time troubleshooting architecture errors that I barely got any actual coding done. Keep it simple and stay in the cloud.

Tbh I've spent way too much time trying to make this work and you gotta be careful with your expectations here. Performance is the real killer on mobile. Are you planning on actually training any models locally on your device, or are you just looking for an interface to write code that executes on a remote server? Training even a tiny CNN can throttle a phone in minutes so you might want to consider if you actually need local compute at all. Also, what kind of screen size are we talking about here... typing out pytorch boilerplate on a small screen is basically torture without a proper keyboard.