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<section id="data-talks" class="level1">
<h1>Data Talks</h1>
<p>Notebooks and scripts associated with Data Talks. Recordings can be found on <a href="https://dhigroup.sharepoint.com/sites/TechnologyandInnovation/SitePages/DnA-Datatalks.aspx">sharepoint (internal)</a>.</p>
<section id="overview" class="level2">
<h2 class="anchored" data-anchor-id="overview">Overview</h2>
<table class="caption-top table">
<colgroup>
<col style="width: 12%">
<col style="width: 66%">
<col style="width: 21%">
</colgroup>
<thead>
<tr class="header">
<th>Data Talk #</th>
<th>Title</th>
<th>Presenter(s)</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>39</td>
<td>Rethinking Jupyter: Challenges and Better Practices</td>
<td>JAN</td>
</tr>
<tr class="even">
<td>38</td>
<td>MIKE+Py: A Python Interface for MIKE+</td>
<td>RYWM</td>
</tr>
<tr class="odd">
<td>37</td>
<td>Lightning AI</td>
<td>CLCR, FSCH</td>
</tr>
<tr class="even">
<td>36</td>
<td>Linux in Windows, WSL</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>35</td>
<td>Timeseries with Darts</td>
<td>JAPR</td>
</tr>
<tr class="even">
<td>34</td>
<td>An Introduction (to an Introduction) to Time Series</td>
<td>JAPR</td>
</tr>
<tr class="odd">
<td>33</td>
<td>Python environments</td>
<td>JAN</td>
</tr>
<tr class="even">
<td>32</td>
<td>Unsupervised learning with scikit-learn</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>31</td>
<td>Introduction to SQL</td>
<td>JHOP</td>
</tr>
<tr class="even">
<td>30</td>
<td>Data Science with Polars</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>29</td>
<td>MIKE IO 1D</td>
<td>RYWM, GEKI</td>
</tr>
<tr class="even">
<td>28</td>
<td>Model validation with ModelSkill</td>
<td>JEM</td>
</tr>
<tr class="odd">
<td>27</td>
<td>Manipulate text files with command-line tools</td>
<td>BJB</td>
</tr>
<tr class="even">
<td>26</td>
<td>Digital Elevation Models</td>
<td>NISI, PACO</td>
</tr>
<tr class="odd">
<td>25</td>
<td>Read, modify, and write PFS files with MIKE IO</td>
<td>JEM</td>
</tr>
<tr class="even">
<td>24</td>
<td>Cloud-based notebooks</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>23</td>
<td>Wave Analytics</td>
<td>DACA, STKI</td>
</tr>
<tr class="even">
<td>22</td>
<td>Command line applications</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>21</td>
<td>HycomPy</td>
<td>MOHM</td>
</tr>
<tr class="even">
<td>20</td>
<td>Neural networks with PyTorch</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>19</td>
<td>MIKE 3D Studio - 3D Visualization with Blender</td>
<td>DERE</td>
</tr>
<tr class="even">
<td>18</td>
<td>Python plotting libraries for exploratory data analysis</td>
<td>CLCR</td>
</tr>
<tr class="odd">
<td>17</td>
<td>Introduction to Machine Learning with SciKit-Learn</td>
<td>JAN</td>
</tr>
<tr class="even">
<td>16</td>
<td>Git and version control</td>
<td>JEM</td>
</tr>
<tr class="odd">
<td>15</td>
<td>AI assistants for code and text</td>
<td>CLCR, JEM</td>
</tr>
<tr class="even">
<td>14</td>
<td>Quarto</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>13</td>
<td>LandUse</td>
<td>KEGR</td>
</tr>
<tr class="even">
<td>12</td>
<td>Streamlit / or interactive widgets</td>
<td>CLCR, PADA</td>
</tr>
<tr class="odd">
<td>11</td>
<td>Sentinel-2 satellite imagery</td>
<td>RAME, KEGR</td>
</tr>
<tr class="even">
<td>10</td>
<td>Python library from GitHub template</td>
<td>JEM</td>
</tr>
<tr class="odd">
<td>9</td>
<td>Reusable Python Code</td>
<td>JEM</td>
</tr>
<tr class="even">
<td>8</td>
<td>MIKE Cloud Python API</td>
<td>FIKR</td>
</tr>
<tr class="odd">
<td>7</td>
<td>MIKE 1D API and mikeio1d</td>
<td>GEKI</td>
</tr>
<tr class="even">
<td>6</td>
<td>xarray</td>
<td>JAN</td>
</tr>
<tr class="odd">
<td>5</td>
<td>Notebooks vs. Scripts</td>
<td>CLCR, JEM</td>
</tr>
<tr class="even">
<td>4</td>
<td>FEFLOW API</td>
<td>CVI</td>
</tr>
<tr class="odd">
<td>3</td>
<td>Satellite-derived bathymetry</td>
<td>MLRA</td>
</tr>
<tr class="even">
<td>2</td>
<td>MIKE IO 1.0</td>
<td>JAN, JEM</td>
</tr>
<tr class="odd">
<td>1</td>
<td>Introducing Data Talks</td>
<td>JEM, JOSL</td>
</tr>
</tbody>
</table>
<ul>
<li>Data Talk 39: Rethinking Jupyter: Challenges and Better Practices (JAN)</li>
<li>Data Talk 38: MIKE+Py: A Python Interface for MIKE+ (RYWM)</li>
<li>Data Talk 37: Lightning AI (CLCR, FSCH)</li>
<li>Data Talk 36: Linux in Windows, WSL (JAN)</li>
<li>Data Talk 35: Timeseries with Darts (JAPR)</li>
<li>Data Talk 34: An Introduction(to an Introduction)to Time Series (JAPR)</li>
<li>Data Talk 33: Python environments (JAN)</li>
<li>Data Talk 32: Unsupervised learning with scikit-learn (JAN)</li>
<li>Data Talk 31: Introduction to SQL (JHOP)</li>
<li>Data Talk 30: Data Science with Polars (JAN)</li>
<li>Data Talk 29: MIKE IO 1D (RYWM, GEKI)</li>
<li>Data Talk 28: Model validation with ModelSkill (JEM)</li>
<li>Data Talk 27: Manipulate text files with command-line tools (BJB)</li>
<li>Data Talk 26: Digital Elevation Models (NISI,PACO)</li>
<li>Data Talk 25: Read, modify, and write PFS files with MIKE IO (JEM)</li>
<li>Data Talk 24: Cloud-based notebooks (JAN)</li>
<li>Data Talk 23: Wave Analytics (DACA, STKI)</li>
<li>Data Talk 22: Command line applications (JAN)</li>
<li>Data Talk 21: HycomPy (MOHM)</li>
<li>Data Talk 20: Neural networks with PyTorch (JAN)</li>
<li>Data Talk 19: MIKE 3D Studio - 3D Visualization with Blender (DERE)</li>
<li>Data Talk 18: Python plotting libraries for exploratory data analysis (CLCR)</li>
<li>Data Talk 17: Introduction to Machine Learning with SciKit-Learn (JAN)</li>
<li>Data Talk 16: Git and version control (JEM)</li>
<li>Data Talk 15: AI assistants for code and text (CLCR, JEM)</li>
<li>Data Talk 14: Quarto (JAN)</li>
<li>Data Talk 13: LandUse (KEGR)</li>
<li>Data Talk 12: Streamlit / or interactive widgets (CLCR, PADA)</li>
<li>Data Talk 11: Sentinel-2 satellite imagery (RAME, KEGR)</li>
<li>Data Talk 10: Python library from GitHub template (JEM)</li>
<li>Data Talk 9: Reusable Python Code (JEM)</li>
<li>Data Talk 8: MIKE Cloud Python API (FIKR)</li>
<li>Data Talk 7: MIKE 1D API and mikeio1d (GEKI)</li>
<li>Data Talk 6: xarray (JAN)</li>
<li>Data Talk 5: Notebooks vs. Scripts (CLCR, JEM)</li>
<li>Data Talk 3: FEFLOW API (CVI)</li>
<li>Data Talk 3: Satellite-derived bathymetry (MLRA)</li>
<li>Data Talk 2: MIKE IO 1.0 (JAN, JEM)</li>
<li>Data Talk 1: Introducing Data Talks (JEM, JOSL)</li>
</ul>
</section>
<section id="resources" class="level2">
<h2 class="anchored" data-anchor-id="resources">Resources</h2>
<ul>
<li><a href="https://github.com/DHI/mikeio">MIKE IO</a></li>
<li><a href="https://github.com/DHI/mikeio1d">MIKE IO 1D</a></li>
<li><a href="https://github.com/DHI/modelskill">ModelSkill</a></li>
<li><a href="https://github.com/DHI/tsod">Time series outlier detection (TSOD)</a></li>
<li><a href="https://github.com/DHI/watobs">WatObs</a></li>
<li><a href="https://altimetry.dhigroup.com">altimetry.dhigroup.com</a></li>
<li>Book: <a href="https://dhi.github.io/getting-started-with-mikeio/intro.html">getting-started-with-mikeio</a></li>
<li>Book: <a href="https://dhi.github.io/book-learn-mikeio-fmskill/intro.html">book-learn-mikeio-fmskill</a></li>
</ul>
</section>
</section>
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if (child.tagName === "P" && child.innerText === "") {
continue;
} else {
container.appendChild(child.cloneNode(true));
break;
}
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(container);
}
return container.innerHTML
} else {
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
return note.innerHTML;
}
} else {
// Remove any anchor links if they are present
const anchorLink = note.querySelector('a.anchorjs-link');
if (anchorLink) {
anchorLink.remove();
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
if (note.classList.contains("callout")) {
return note.outerHTML;
} else {
return note.innerHTML;
}
}
}
for (var i=0; i<xrefs.length; i++) {
const xref = xrefs[i];
tippyHover(xref, undefined, function(instance) {
instance.disable();
let url = xref.getAttribute('href');
let hash = undefined;
if (url.startsWith('#')) {
hash = url;
} else {
try { hash = new URL(url).hash; } catch {}
}
if (hash) {
const id = hash.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note !== null) {
try {
const html = processXRef(id, note.cloneNode(true));
instance.setContent(html);
} finally {
instance.enable();
instance.show();
}
} else {
// See if we can fetch this
fetch(url.split('#')[0])
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.getElementById(id);
if (note !== null) {
const html = processXRef(id, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
} else {
// See if we can fetch a full url (with no hash to target)
// This is a special case and we should probably do some content thinning / targeting
fetch(url)
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.querySelector('main.content');
if (note !== null) {
// This should only happen for chapter cross references
// (since there is no id in the URL)
// remove the first header
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
note.children[0].remove();
}
const html = processXRef(null, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
}, function(instance) {
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
div.style.left = 0;
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>