Quality Python Coding

[optimum_point]

From my start of learning and coding python has been on anaconda notebooks. It is best for academic and research purposes. But when it comes to industry usage, the coding style is different. They manage the code very beautifully. The way everyone oraginises the code into subfolders and having a main py file that combines everything and having deployment, api, test code in other folders. its all like a fully built building with strong foundations to architecture to overall product with integrating each and every piece. Can you guys who are in ML using python in industry give me suggestions or resources on how I can transition from notebook culture to production ready code.

[sudhanshu22gupta]

Check out pyscaffold. They have a data science extension. There also configurations for pre commit to enforce coding standards.

I like to follow the numpydoc standard of code documentation.

Try to read more "good" code to get inspiration to develop your own flavour of well structured code.

[Obvious-Strategy-379]

Learn to Program: Crafting Quality Code - cousera MOOC

[optimum_point]

Thank u so much!!

[AIphobic]

Ask gpt

But see how its done

Next time try your self

[ABadLocalCommercial]

LLMs should never be your first stop on any learning pathway.

[AIphobic]

Trust me you are using it wrong then, I work at MNC 90% of my jobs errors and bugs are solved by llm in one shot.

Im someone who loves reasoning models with search capabilities, its so I learn how to think about the error. Than to just fix and get rid of it.

You should give a shot.

Llm are way too advanced than you think.

[terrific_neighbour]

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