A collection of public jupyter notebooks and maybe other things for sharing with other developers.
Here I will share projects that maybe are not big enough to warrant their own repository. This repository will contain mostly examples that I write about in my blog.
This folder contains a small toy project using Flask and SQLAlchemy for a simple crypto purchase tracker (manually updated). The blog post covering this topic is here and a follow up about querying a database with Python here.
This repository shows some examples of using the Bokeh library in combination with Flask to add interactive charts to a web application. If you want to read more about it, I wrote a blog post going over the code. You can read it at my blog, here.
I created a weighted portfolio of the top 20 cryptocurrencies at the beginning of the year. Every month I write an update about the performance.
This folder contains the notebooks that I use to produce the charts in my posts. I also added the conda environment file that can be used to reproduce everything.
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