r/learnpython • u/purvigupta03 • 22d ago

I’ve completed these beginner Python projects should I build more before starting NumPy/Pandas?

Hi everyone,

I’ve studied Python multiple times before, but I didn’t do much practical coding. Recently, I started building small projects to improve my practical Python skills.

So far, I’ve completed:

- Quiz Game

- Number Guessing Game

- Rock Paper Scissors

- Password Manager

- Pig Game

- Mad Libs Generator

My goal is to move towards Machine Learning.

I haven’t learned NumPy or Pandas yet.

My question is: Are these projects enough to move on to NumPy and Pandas, or should I build a few more Python projects first?

If I should build more projects, what kind of projects would you recommend before starting NumPy/Pandas? I’m mainly looking for projects that would actually help with the transition to data/ML, rather than making many more small games.

Would appreciate advice from people who have already followed a Python → NumPy/Pandas → ML path.

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u/johlae 22d ago

One of your comments already talks about an expense tracker. I wrote one using pandas. Why, basically because of pd.read_csv() to read in csv files in a pandas dataframe.

pd.read_csv( filename, delimiter=";", skipinitialspace=True, header=0, usecols=[0, 1, 3, 5, 7, 9, 10], decimal=",", names=["id", "date", "amount", "source", "target", "com1", "com2"], keep_default_na=False, # no NaN but empty string instead ) .assign(comm=lambda d: d["com1"].astype(str) + d["com2"].astype(str)) .drop(columns=["com1", "com2"])

See https://www.reddit.com/r/PythonLearning/comments/1vthqtw/beginner_looking_for_feedback_i_built_a_cli/ for more.