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30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Scrape-Websites-with-Python-FastAPI-Celery-NoSQL
Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
We also recommend that you have some experience with Python, like completing the programming challenge 30 days of Python. If you have a basic knowledge in classes, functions, and strings, you are good to go.
When we write everything in the Python shell, it is easy to forget what we wrote or for things to get lost in context. Jupyter Notebook prevents us from having to exit out of the shell and rerunning it all. Even if you haven’t used it before, you’ll find that it’s very user-friendly as long as you’re familiar with Python. Jupyter allows rapid iteration and testing, making it extremely useful for our Cassandra model, and to scrape our web pages. Follow along our YouTube tutorial to scrape events using Jupyter. On our GitHub, you can also find other methods apart from Jupyter that you can use for every model.
In this video tutorial on the Coding for Entrepreneurs YouTube Channel, Justin shows you how to web scrape on a schedule by integrating the Python framework called FastAPI with Astra DB, a serverless, managed Database-as-a-Service built on Cassandra.
You will find all the tools you need on the Coding for Entrepreneurs Github. Don’t forget to install Python 3.9 and download Visual Studio Code as your code and text editor, and we are ready to set up our environment. Follow along in our YouTube tutorial.
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