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This repository contains a collection of Python exercises I've completed for the first part of a course on Data Science and Artifical Intelligence ('Diplomatura en Ciencias de Datos e Inteligencia Artificial' de la Universidad de San Martín)

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Python Introduction Exercises

This repository contains a collection of Python exercises I've completed for a Python course. Each exercise includes a brief description and my solution in Python. The course covers fundamental concepts such as data types, control structures, functions, and object-oriented programming.

Getting Started

To get started with these exercises, you will need to have Python installed on your machine. You can download Python from the official website here.

Exercises

The exercises are organized by topic in separate files. Each exercise has a description and my solution.

Here is a list of the topics covered in the exercises:

  1. Strings, f-strings, Lists, Math Operations
  2. Functions, Loops, Conditionals
  3. Data types (tuples, dictionaries, containers, sets) , Comprehension, Zip function
  4. Files management, csv, Functions
  5. Numpy, functions
  6. Panda
  7. Matplotlib,

Cheatsheets

I've also created a directory with cheatsheets that cover the theory I've learned.

Conclusion

Whether you are a beginner just starting out with Python or an experienced programmer looking to improve your skills, these exercises can be a valuable resource to help you practice and deepen your understanding of the language.

I hope that you find these exercises useful and that they provide you with a challenging and rewarding learning experience. If you have any questions or feedback, please don't hesitate to reach out to me.

Happy coding!

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This repository contains a collection of Python exercises I've completed for the first part of a course on Data Science and Artifical Intelligence ('Diplomatura en Ciencias de Datos e Inteligencia Artificial' de la Universidad de San Martín)

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