38 lines
1.2 KiB
Markdown
38 lines
1.2 KiB
Markdown
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# Data-Science Spielwiese
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## Einleitung
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Dieses Repository dient als Spielwiese um Data-Science Projekte umzusetzen und die Werkzeuge und Methoden kennenzulernen und auszuprobieren.
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## Vorbereitung
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https://code.visualstudio.com/docs/languages/python
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- Python installieren
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- https://www.python.org/downloads/
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- Python Extensions installieren
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- <code>python -m pip install </code>
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- requests
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- Visual Studio Code installieren
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- PlugIn Markdown Preview Enhanced
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- PlugIn Python installieren
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- Git Projekt clonen
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- ggf client, z.B. Fork benutzen
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- Projekt clonen
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## Erstes Testprojekt: Börsendaten
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Als erster Test sollen Börsendaten ausgewertet werden
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### Verwenden der API
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import requests
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url = "https://apidojo-yahoo-finance-v1.p.rapidapi.com/stock/v3/get-chart"
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querystring = {"interval":"5m","symbol":"AMZN, NVDA","range":"2mo","region":"US","includePrePost":"false","useYfid":"true","includeAdjustedClose":"true","events":"capitalGain,div,split"}
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headers = {
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"X-RapidAPI-Key": "4ee0ea9302msha813023b990f6c9p19d2cdjsncf3e2b4f3191",
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"X-RapidAPI-Host": "apidojo-yahoo-finance-v1.p.rapidapi.com"
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}
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response = requests.get(url, headers=headers, params=querystring)
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print(response.json())
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