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updated slides

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Walker Waylon Scott 2017-07-17 22:24:55 -05:00
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@ -27,6 +27,57 @@
[pydatavizday.herokuapp.com](pydatavizday.herokuapp.com)
----
## Stack for this viz
* Python
* pandas
* flask
* javascript
* C3
* reveal
* jquery
* jqcloud
* HTML
* Bootstrap
----
## Other Considerations
* Jupyter Notebooks
* Jupyter Dashboards
* DASH (just released in mid JUNE)
---
### Jupyter Notebooks
* My Adhoc analysis of choice
* Many plugins (including reveal)
* Data/viz/slides All in one place
![jupyter notebook](http://jupyter.org/assets/jupyterpreview.png)
---
### Jupyter Dashboards
* Dashboard plugin for Jupyter notebook
![jupyter dashboard](https://github.com/jupyter/dashboards/raw/master/docs/source/_static/dashboards_intro.png)
---
### DASH
* released in June
![dash](https://camo.githubusercontent.com/a1be75b74d4a47c50df7018e914d63a2e232e503/68747470733a2f2f63646e2d696d616765732d312e6d656469756d2e636f6d2f6d61782f3830302f312a44455441517136572d7079746c4e6f487a4c496144412e706e67)
----
## Pros of Python
@ -36,6 +87,7 @@
* Powerful Web stack
* Testing
* Documentation
* Profiling
* Free
---
@ -136,52 +188,6 @@ else:
* slow runtime compared to statically typed languages (c, java)
* Latest ML aglorithms are typically developed in R
----
## Stack for this viz
* Python
* pandas
* flask
* javascript
* C3
* reveal
* jquery
* jqcloud
* HTML
* Bootstrap
----
## Other Considerations
* Jupyter Notebooks
* Jupyter Dashboards
* DASH (just released in mid JUNE)
---
### Jupyter Notebooks
* My Adhoc analysis of choice
* Many plugins (including reveal)
* Data/viz/slides All in one place
![jupyter notebook](http://jupyter.org/assets/jupyterpreview.png)
---
### Jupyter Dashboards
* Dashboard plugin for Jupyter notebook
![jupyter dashboard](https://github.com/jupyter/dashboards/raw/master/docs/source/_static/dashboards_intro.png)
---
### DASH
* released in June
![dash](https://camo.githubusercontent.com/a1be75b74d4a47c50df7018e914d63a2e232e503/68747470733a2f2f63646e2d696d616765732d312e6d656469756d2e636f6d2f6d61782f3830302f312a44455441517136572d7079746c4e6f487a4c496144412e706e67)
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