From d922297f993020e23573e0a27098e94ed215456c Mon Sep 17 00:00:00 2001 From: Tyler Hallada Date: Fri, 11 Aug 2017 11:03:57 -0400 Subject: [PATCH] Changes to jupyter notebook for lightning talks --- edX Lightning Talk.ipynb | 101 ++++++++++++++++++++++----------------- images/displacy.png | Bin 0 -> 65152 bytes images/word-rnn.png | Bin 0 -> 92746 bytes 3 files changed, 57 insertions(+), 44 deletions(-) create mode 100644 images/displacy.png create mode 100644 images/word-rnn.png diff --git a/edX Lightning Talk.ipynb b/edX Lightning Talk.ipynb index a34be55..f681ab3 100644 --- a/edX Lightning Talk.ipynb +++ b/edX Lightning Talk.ipynb @@ -212,42 +212,14 @@ "\n", "We can partition by threes too:\n", "\n", - "(The quick brown) (quick brown fox) ... (the lazy dog)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "source": [ + "(The quick brown) (quick brown fox) ... (the lazy dog)\n", + "\n", "Or, the condition can be two words (`condition = 'the lazy'`):\n", "\n", - "(The quick brown) (quick brown fox) ... (the lazy dog)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "source": [ + "(The quick brown) (quick brown fox) ... (the lazy dog)\n", + "\n", + "These are **trigrams**.\n", "\n", - "These are **trigrams**." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "source": [ "We can partition any **N** number of words together as **ngrams**." ] }, @@ -343,7 +315,7 @@ "source": [ "words = ('The quick brown fox jumped over the '\n", " 'lazy dog and the quick cat').split(' ')\n", - "print words" + "print(words)" ] }, { @@ -409,6 +381,17 @@ "{k: dict(v) for k, v in dict(cfd).items()}" ] }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Conditional Frequency Distributions (CFDs) ##" + ] + }, { "cell_type": "markdown", "metadata": { @@ -501,9 +484,9 @@ "word = random.choice(TEXT)\n", "# generate 15 more words\n", "for i in range(15):\n", - " print word,\n", + " print(word + ' ', end='')\n", " if word in cfd:\n", - " word = random.choice(cfd[word].keys())\n", + " word = random.choice(list(cfd[word].keys()))\n", " else:\n", " break" ] @@ -604,10 +587,12 @@ "cell_type": "markdown", "metadata": { "slideshow": { - "slide_type": "fragment" + "slide_type": "slide" } }, "source": [ + "# Syllables\n", + "\n", "* poet: /ˈpoʊət/\n", "* does: /ˈdʌz/\n", "\n", @@ -806,7 +791,7 @@ "source": [ "from stat_parser import Parser\n", "parsed = Parser().parse('The quick brown fox jumps over the lazy dog.')\n", - "print parsed" + "print(parsed)" ] }, { @@ -917,6 +902,18 @@ "[https://spacy.io/docs/api/#speed-comparison](https://spacy.io/docs/api/#speed-comparison)" ] }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "![Screenshot of displaCy, a dependency visualizer for spaCy](images/displacy.png)\n", + "[https://demos.explosion.ai/displacy/](https://demos.explosion.ai/displacy/)" + ] + }, { "cell_type": "markdown", "metadata": { @@ -962,6 +959,20 @@ "[http://karpathy.github.io/2015/05/21/rnn-effectiveness/](http://karpathy.github.io/2015/05/21/rnn-effectiveness/)" ] }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "![Screenshot of word-rnn readme on Github](images/word-rnn.png)\n", + "[word-rnn](https://github.com/larspars/word-rnn)\n", + "\n", + "[word-rnn-tensorflow](https://github.com/hunkim/word-rnn-tensorflow)" + ] + }, { "cell_type": "markdown", "metadata": { @@ -973,28 +984,30 @@ "source": [ "# The end #\n", "\n", - "Questions?" + "Questions?\n", + "\n", + "Full write up at: [hallada.net/blog](http://www.hallada.net/2017/07/11/generating-random-poems-with-python.html)" ] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { - "display_name": "Python 2", + "display_name": "Python 3", "language": "python", - "name": "python2" + "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, 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