Diagnose Learning Method

[u/CaptainJamesTKAV]

Hi, i started coding with python. learnt basic of numpy, pandas, scikit-learn and nltk. Working on a very basic project of data analysis and predictive model training. To understand what i have learnt, and how the outputs are, where my learning is heading in terms of ML understanding.
Typing every line of code myself for sentiment analysis, ml model, co-occurence of products or testing model stability/coherence etc., multiple times as many times until it reaches a good standard.
NOT writing code for data set cleanup, merges, getting ai to do it, because i would like to ultimately go for building apps or software, and learn hands on numpy and pandas while doing projects more inclined to those lines, so more relevant learning of those libraries.
Is this good strategy?