Python: de cero a usuario is a dynamic course designed to teach Python programming and Jupyter notebooks across Windows, Linux, and MacOS. Students will master variable declaration, control structures, and built-in functions in Python. Additionally, they will explore Jupyter notebooks, magic commands, access documentation, package installation, and problem-solving using Jupyter notebooks.
Through engaging modules, participants will delve into topics such as the working environment, basic syntax, data types, built-in functions, and Jupyter notebook usage. The course also includes hands-on exercises to reinforce learning and a challenging activity for those seeking additional honors.
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Python: de cero a usuario comprises five modules that cover the essentials of Python programming and Jupyter notebooks. From setting up the environment to advanced topics like magic commands and project work, the course provides a comprehensive learning journey for aspiring Python developers.
Welcome to Python: de cero a usuario's environment module, where you'll learn about the working environment and setting up Jupyter notebooks on various operating systems. This module also introduces you to shortcuts and provides hands-on exercises to reinforce your learning.
The syntax and data types module delves into basic Python syntax, data types, and essential operations. It covers topics such as strings, booleans, dictionaries, tuples, and lists, and includes exercises to solidify your understanding of these fundamental concepts.
In the built-in functions module, you'll explore text formatting, control tools, list comprehension, and Python's built-in functions. This module equips you with essential skills to manipulate and process data efficiently using Python's built-in features.
Discover the intricacies of Jupyter notebooks in the module dedicated to these powerful tools. From magic commands to local and global variables, this module also explores Python's applications in various fields, culminating in a project to test your newfound knowledge.
The course concludes with an honors activity module, offering two challenging problems that allow you to demonstrate your proficiency in Python programming and Jupyter notebook usage.
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