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materials
.gitignore
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LICENSE
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README.md

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UCI-ESS Python Tutorial Series

This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.

We will update the repository as we have more sessions.

Contributors (alph. order):
Meg Fowler
Zack Labe
Baird Langenbrunner
Stephan Rasp
Chris Terai
Galen Yacalis

Completed

  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers

About

Repository for the UCI ESS Python tutorial series

Resources

Readme
MIT license
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
About
Repository for the UCI ESS Python tutorial series
Resources
Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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93 Commits
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materials
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.gitignore
LICENSE
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README.md
Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
About
Repository for the UCI ESS Python tutorial series
Resources
Readme
MIT license
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0 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
About
Repository for the UCI ESS Python tutorial series
Resources
Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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NameName
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materials
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LICENSE
LICENSE
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README.md
Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
About
Repository for the UCI ESS Python tutorial series
Resources
Readme
MIT license
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0 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
About
Repository for the UCI ESS Python tutorial series
Resources
Readme
MIT license
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0 watching
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0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
About
Repository for the UCI ESS Python tutorial series
Resources
Readme
MIT license
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Repository files navigation
UCI-ESS Python Tutorial Series
This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.
We will update the repository as we have more sessions.
Contributors (alph. order):

Meg Fowler

Zack Labe

Baird Langenbrunner

Stephan Rasp

Chris Terai

Galen Yacalis
Completed
  • Week 1 (Baird and Stephan)
    • Install Python via Anaconda
    • Jupyter Notebook introduction
  • Week 2 (Baird)
    • Python basics
    • numpy/scipy primer
    • pandas and csv/txt files
    • Opening MATLAB and NetCDF files
    • Simple plots with matplotlib
    • Simple maps with cartopy
  • Week 3 (Chris)
    • Conda environments
    • Plotting and manipulating NetCDF data using UVCDAT
  • Week 4 (Stephan)
    • xarray for gridded data sets
    • Debugging Python code
  • Week 5 (Baird and Stephan)
    • matplotlib figures (intermediate level)
    • cartopy and plotting with maps
    • Animations in matplotlib
  • Week 6 (Stephan)
    • Machine learning basics
    • keras neural network (applied to image classification: recognizing hand-written digits)
  • Week 7 (Galen)
    • scikit-learn and advanced pandas
    • keras neural network (applied to volcanic eruption data set)
  • Week 8 (Zack)
  • Week 9 (Meg)
    • Extreme value distributions in Python
  • Week 10 (group discussion)
    • Discussion on writing transparent/reproducible papers
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Repository for the UCI ESS Python tutorial series
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