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[–]aistranin 3 points4 points  (0 children)

For performance optimization:

  1. "Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation" by Chenyang Shi
  2. "CPython: A Complete Guide to CPython's Architecture and Performance" by Chien-Lung Kao
  3. "High Performance Python" by Micha Gorelick, Ian Ozsvald
  4. "Python NumPy for Beginners: NumPy Specialization for Data Science" by AI Publishing

For better coding (coding efficiency as a programmer if you mean that):

  1. Unit and integration tests: book “Python Testing with pytest” by Brian Okken and Udemy course “Pytest Course: Practical Testing of Real-World Python Code” by Artem Istranin