This directory contains a series of assignments designed to reinforce and apply the concepts covered in the lecture notes. Each assignment includes various formats such as Markdown (.md), Jupyter Notebooks (.ipynb), PDF, and HTML, allowing you to work with and view the content in your preferred environment.
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Py01-Assignments.md Markdown file containing the first set of assignments, covering fundamental Python concepts.
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Py01-Assignments.ipynb Jupyter Notebook with the same assignments, allowing you to run and test code interactively.
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Py01-Assignments.pdf PDF version of the assignments, suitable for printing or offline viewing.
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Py01-Assignments.html HTML version of the assignments, ideal for viewing in a web browser.
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Py02-Assignments.md Markdown file for the second set of assignments, focusing on more advanced topics like arrays or data handling.
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Py02-Assignments.ipynb Jupyter Notebook version for interactive learning and practice.
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Py02-Assignments.pdf PDF version of the second set of assignments.
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Py02-Assignments.html HTML version, accessible via any web browser.
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Py03-Assignments.md The third set of assignments in Markdown format, likely involving libraries like Pandas or plotting tools.
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Py03-Assignments.ipynb Jupyter Notebook version, enabling hands-on coding and experimentation.
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Py03-Assignments.pdf PDF version of the third set of assignments.
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Py03-Assignments.html HTML version for browser-based viewing.
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Py04-Assignments.md Markdown file containing the fourth set of assignments, possibly involving data science or file handling topics.
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Py04-Assignments.ipynb Jupyter Notebook version for interactive practice.
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Py04-Assignments.pdf PDF version of the fourth set of assignments.
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Py04-Assignments.html HTML version for web-based access.
- Data/ This folder contains any datasets or images needed to complete the assignments. Ensure that you reference this folder when working on the Jupyter Notebooks or other assignment formats.