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Python Programming for Scientists

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These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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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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Python Programming for Scientists

About

These lecture notes and problem sets were written by Thomas Robitaille for a lecture course at the University of Heidelberg. They are licensed under the Attribution Non-Commercial Share-Alike Creative Commons License. For more information about the license, see the following page:

http://creativecommons.org/licenses/by-nc-sa/3.0/

You can launch an interactive version of the lecture notes by clicking on the following button: Binder (once the Jupyter hub has started up, go to the 1.mon folder and click on the first lecture note)

Details

The notes were prepared in the Jupyter Notebook using Python 3.4. They are currently fully compatible with Python 3. To edit or view the notes, start up the Jupyter notebook in the directory containing the file you are interested in. Alternatively, you can use the IPython Notebook Viewer at:

http://nbviewer.ipython.org

to render the notebooks.

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Python Programming for Scientists - Lecture notes

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