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Lectures and Python scripts for the PhD course on Python (2024)

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Python_course_2024

Python codes and associated notebooks for the PhD course on Python programming (2024)

Notebooks should be followed in the order given below

  1. variables_and_types
  2. conditional_and_cycles
  3. functions
  4. files
  5. variable_scoping
  6. classes
  7. classes: advanced
  8. least_squares
  9. advanced_matplotlib (optional)
  10. General_fits
  11. General_fit_revised
  12. General_fit_revised_2
  13. Logistic problem: a short glance at Sympy (optional)

The data_files folder contains data read or written by the codes in the notebooks. The L7_data_files folder is required for the L7_classes_advanced notebook.

The Python files plot.py and einstein_fit.py are required by the General_fit notebook serie

The File requirements.txt contains all the libraries to be installed by the command pip install -r requirements.txt

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