digital-portfolio
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Unable to calculate vocabulary similarity
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: Hippolyte1996
- Language: Jupyter Notebook
- Default Branch: main
- Size: 0 Bytes
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Citation
Owner
- Login: Hippolyte1996
- Kind: user
- Repositories: 1
- Profile: https://github.com/Hippolyte1996
Citation (citations.md)
# Acknowledgments
The image of the data scientist was generated using AI-powered face generator that produces photos of people who do not exist at a resolution of 1024x1024 pixels {cite}`chatgpt`.
The contents of CV and Cover letter are modified from the output generated by ChatGPT {cite}`logoface`.
## References
```{bibliography}
```
````{tab-set}
```{tab-item} Things I learned
1. I learned a lot about formatting documents and Jupyter Book built from multiple documents. It is quite intuitive and reminds me of using LaTex for my graduate thesis a few years ago.
2. I learned a lot about how interconnected files can be and that the data structure is really important to make projects easy to navigate and edit.
```
```{tab-item} Things I found difficult
1. I found that it is quite confusing to edit the metadata for a jypnb file when the kernel isn't exactly the same that we use in the course. I had to troubleshoot a lot before it worked without issues.
2. I found that it's difficult to know whether you messed up something in your code when you build the Jupyter Book. By that I mean that if you made a mistake, fixing it is more difficult than when working with a file where you can check each cell individually.
```
````
GitHub Events
Total
- Push event: 1
- Create event: 3
Last Year
- Push event: 1
- Create event: 3
Dependencies
requirements.txt
pypi
- jupyter-book *
- matplotlib *
- numpy *