Dealing with Large Data Files and Bad Git Commits. To put a bandaid on the git push issue, so that you can at least upload your code, remove your large files. Next, you perform what GitHub calls “squashing” and essential squash your latest git commits into one. AKA Git Squash.
As I dive deeper into my job search, I’ve taken up a new data science project to widen my skill set and also better-relate my career goals. The main goal of this project is to work with satellite imagery and Concurrent Neural Networks. More specifically, I retrieved data from Kaggle and will be classifying cloud types in order for a better understanding of weather patterns.
I’ve downloaded a dataset that I’ve realized is larger than I am used to working with and have gotten absolutely stuck trying to push it to GitHub!
I have found the issue and thought others might find a written solution helpful on here.
I had just ‘git commit’ the very first changes to my new repo after connecting to the Kaggle API and downloading my dataset which was over 5GB.
My terminal hit me with the following:
remote: error: GH001: Large files detected. You may want to try Git Large File Storage - https://git-lfs.github.com. remote: error: See http://git.io/iEPt8g for more information. To https://github.com/oac0de/Understanding_Cloud_Formations ! [remote rejected] main -> main (pre-receive hook declined) error: failed to push some refs to 'https://github.com/oac0de/Understanding_Cloud_Formations'
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
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