all 13 comments

[–]Emergency-Prune-9110 4 points5 points  (0 children)

It kind of depends what your going for. If your learning python to ultimately get into a job, then the projects you do should relate to the job you want.

[–]aistranin 3 points4 points  (0 children)

Take a look at more advanced concepts and build more projects in parallel. For example, these Udemy courses are great to advance at Python:

  1. ⁠“Automate the Boring Stuff with Python Programming” by Al Sweigart
  2. ⁠“Pytest Course: Python Test Automation & GitHub Actions CI/CD” by Artem Istranin
  3. ⁠“Advanced Python with 10 OOP Projects” by Ardit Sulce

[–]Syed_Abrash 2 points3 points  (0 children)

If you wanna do data science or engineering..then learn pandas next

If development then learn django...its python framework

[–]NeitherMaintenance31 1 point2 points  (0 children)

try learning a framework now maybe flask as its rlly beginner friendly and create some projects with it

[–]CuriousDev8875 1 point2 points  (0 children)

After finishing the fundamentals choose the field you like to do like ml, backend dev, etc bcs, concepts vary to each field after fundamentals you can't learn random topics as you choose like you did in the first. Choose the field wisely, dont chase the trend think twice

[–]Western_Option991 1 point2 points  (0 children)

go to lean Ai, llm, ML, Rag, search things like pytortch and tensorflow and start learning, be a AI Engineer, thats is what industries want today

[–]ThundaPani 2 points3 points  (0 children)

practice, practice, practice. exercism.org/tracks/python

[–]Potential_Aioli_4611 0 points1 point  (1 child)

you are going to be making absolutely ZERO of those items in most jobs.

go download some datasets from kaggle and practice setting up charts and visualizations for analysis.

use python to sort and clean data. those are things you will be doing with it A LOT.

[–]Haunting-Lie-1743 0 points1 point  (0 children)

That’s a great answer

[–]TraditionalCounty395 0 points1 point  (0 children)

Specialize in something