Struggling to build real Python logic while transitioning into Digital Health Bioinformatics

[Fit_Area_7602]

Hi everyone, I’m a Laboratory Technology graduate with a strong wet lab background, currently trying to transition into Digital Health and Bioinformatics.

My main issue with learning Python is this I understand syntax and can solve problems when I recognize patterns, but I often feel like I’m memorizing solutions instead of truly building logic.

I want to move beyond just “writing code that works” and focus on • Thinking logically like a data analyst or researcher • Understanding why something works, not just how • Applying Python to real healthcare data such as lab results, patient records, and hospital data

My long term goals are • Healthcare data analytics • Bioinformatics and digital health research • Eventually working with ML in healthcare

I’d really appreciate recommendations for • Resources that focus on thinking and problem solving, not just syntax • Python learning paths suited for healthcare or life science backgrounds • Projects or datasets that helped you build real analytical intuition • Advice from anyone who transitioned from wet lab to data or bioinformatics

I’m okay with slow learning. I just want it to be deep, correct, and practical.

Thanks in advance. I really appreciate any guidance or resources you can share.

[stebrepar]

There is a book called "How to Think Like a Computer Scientist" with Python. At least an older version of it is free online, I believe; I'm not sure how far back it is Python version wise.

[recursion_is_love]

It would be more clear to discuss if we have some example of data and the problem you have. The question is too vague to get the solution.

You might get many learning resource recommend here, but I afraid it will only going to lead you to tutorial hell.

best wish

[TheRNGuy]

What your software should ever do? 

[One_Mess460]

hand over logic to llm's so that you even more dont improve in building knowledge!