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title: Advent of Code 2023 | ||
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# {{ page.topic}} {{ page.year }} | ||
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Welcome to [AoC 2023](https://adventofcode.com/2023){:target="_blank"}! | ||
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For this AoC event, I decided to do something a bit different. Up until now, I've been creating my AoC applications in [Visual Studio Code](/python/getting-started#development-environment--editor){:target="_blank"}, posting the code to my [Repo in GitHub](https://github.com/derailed-dash/Advent-of-Code){:target="_blank"}, and then documenting my solutions in this site. My approach to documenting has been to write my web pages using markdown, and then convert this markdown to a website using Jekyll, as described [here](https://medium.com/@derailed.dash/jekyll-container-image-a7785f9c5ed6){:target="_blank"}. | ||
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But wouldn't it be nice if I could write the code, write some pretty documentation, and capture the output, **all at the same time and and in the same place?** | ||
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Well of course you can! **The answer is [Jupyter Notebooks](/python/jupyter-notebooks){:target="_blank"}!!** | ||
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You can check out my Advent of Code 2023 solution in these places: | ||
- In [GitHub](https://github.com/derailed-dash/Advent-of-Code/blob/master/src/AoC_2023/Dazbo's_Advent_of_Code_2023.ipynb){:target="_blank"} | ||
- By running my notebook in the cloud for free, using [Google Collaboratory](https://colab.research.google.com/github/derailed-dash/Advent-of-Code/blob/master/src/AoC_2023/Dazbo's_Advent_of_Code_2023.ipynb){:target="_blank"}. | ||
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![2023 Jupyter Notebook in Colab](/assets/images/2017-jn-in-colab.png) |
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