2168-Macroeconometrics-2425_S2

This folder contains all the necessary materials for the Intro to Python given by Professor João B. Duarte (https://www.novasbe.unl.pt/en/faculty-research/faculty/faculty-detail/id/126/joao-duarte). These files introduce fundamental programming concepts using Python, along with practical exercises and problem sets. Here's a breakdown of the contents:

1. 00_Install_Anaconda.ipynb – Step-by-step instructions for setting up the Python environment using Anaconda.
2. 01_Intro_Programming.ipynb – A beginner-friendly introduction to basic programming concepts in Python.
3. 02_Introduction_to_Jupyter_Notebooks.ipynb – Guide on using Jupyter Notebooks for interactive coding.
4. 03_datatypes_strings_numbers_and_variables.ipynb – Covers Python data types, variables, and operations on strings and numbers.
5. 04_lists_tuples_and_sets.ipynb – Introduction to Python's key data structures: lists, tuples, and sets.
6. 05_if_statements.ipynb – Explains conditional statements for decision-making in code.
7. 06_while_loops_and_user_input.ipynb – Teaches while loops and handling user input in Python.
8. 07_introduction_to_functions.ipynb – Basics of writing and using functions in Python.
9. 08_some_more_functions.ipynb – Expands on advanced function concepts and usage.
10. 09_classes_and_OOP.ipynb – Introduction to Object-Oriented Programming (OOP) in Python.
11. 10_numpy_library.ipynb – Basics of NumPy for numerical computing and array operations.
12. 11_matplotlib_library.ipynb – Introduction to Matplotlib for data visualization.
13. Problem set 1.ipynb – Practical exercises to reinforce the concepts learned throughout the course.