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python_nlp_2020_fall

Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT

Lab solutions

We do not release the solutions for the lab exercises but we welcome contributions from students.

Contribution guidelines are the following:

  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.

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Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT

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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_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
About
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
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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Repository files navigation
python_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
About
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
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0 forks
Report repository
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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
python_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
About
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
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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Repository files navigation
python_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
About
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
Resources
Readme
MIT license
Activity
Stars
0 stars
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0 forks
Report repository
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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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Repository files navigation
python_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
About
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
Resources
Readme
MIT license
Activity
Stars
0 stars
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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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.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
Repository files navigation
python_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
About
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
Resources
Readme
MIT license
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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_nlp_2020_fall
Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT
Lab solutions
We do not release the solutions for the lab exercises but we welcome contributions from students.
Contribution guidelines are the following:
  • Each solution must be a standalone .py file with a solution to a single exercise.
  • It must be named LABNUMBER_EXERCISENUMBER_NAMEOFFUNCTION.py. Lab01 exercises weren't numbered, you can skip the number in this case.
  • It must have a copyright notice with your name and email (see my example).
  • It must be submitted as a pull request to the master branch in the this repository. In order to submit pull requests, you need to fork this repository and push to your own fork. You can then submit a pull request to the this repository.
  • It must follow PEP8.
  • It must include and pass all tests for that particular exercise in the notebook.
  • It must have a main entry point (see the example and a separate function for the solution. You can use helper functions.
  • We will provide code review on Github (this is why it needs to be plain text, not a notebook). You are expected to answer our review and fix your mistakes. Accepted solutions will count as extra points towards your final grade.
  • Alternate solutions are fine as long as they significantly differ from other solutions (for example an iterative solution vs a recursive one). Please use a numbered suffix if you submit an alternative solutions. An example would be lab01_get_first_n_primes_2.py
  • We may change the directory and naming conventions if the number of solutions starts to get out of hand. We will update the guidelines accordingly.
  • Here is an example.
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Material for the 2020 fall edition of the course "Introduction to Python and Human Language Technologies" at BME AUT 
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