Instructions:
Use online resources to learn how Jupyter notebook is used in a range
of fields, including the sciences, social sciences, finance, and
education. I recommend you visit A gallery of interesting Jupyter Notebooks(https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks) where a large collection of notebooks on a variety of topics are available for you to review and study.
Pick one of these notable notebooks from your research and use them as the foundation for your project.
Your project must be in one of these areas:
- Biology/Health Science
- Cybersecurity
- Data Science
- Education
- Finance
- GIS (Geographic information system)
- Social Sciences
Requirements:
1/ Once you selected a topic and notebook, you need to write up a
summary of how the author or authors are solving a specific problem
using the combinations of Python and Jupyter Notebook.
2/ Use the selected topic and notebook as the foundation of your
project. In particular, your project must solve a smaller problem set of
the notable workbook. For instance, if the Notebook’s main topic is
detecting general malware in cybersecurity, your project could focus on
identifying one specific instance of that malware or identifying only a
small portion of the classification algorithm used in the notebook. You
then implement the smaller problem set using Python and Jupyter
Notebook. You can come up with original code or modify the existing code
to solve your smaller problem set.
3/ Your project must use at least three of the following Python modules:
- Matplotlib
- Numpy
- Requests
- Pandas
- Seaborn
- bs4
4/ Submit your topic summary in text, including a link to the
reference Jupyter notebook you used. Also submit a Jupyter notebook
(.ipynb) file with your code.
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