schedule.json

{
  "items": [
    {
      "date": "2014-06-02 19:00:00",
      "topic": "Mixer",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-06-09 19:00:00",
      "topic": "Data Viz Weight Loss",
      "description": "We'll be looking at several examples of improving presentation of data.",
      "speakers": []
    },
    {
      "date": "2014-06-16 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-06-22 19:00:00",
      "topic": "Analyzing rap lyrics",
      "description": "The topic for this week is about analyzing rap lyrics.. Here are some examples of work we will be looking at: <br /><a href='http://pyvideo.org/video/2658/analyzing-rap-lyrics-with-python'> Analyzing Rap Lyrics with Python</a><br /><a href='http://rappers.mdaniels.com.s3-website-us-east-1.amazonaws.com/'>The Largest Vocabulary in Hip Hop</a>",
      "speakers": [
        "Video"
      ]
    },
    {
      "date": "2014-06-30 19:00:00",
      "topic": "Show and tell",
      "description": "Chris Jenkins, a Ph.D. Candidate in experimental psychology from the University of New Mexico will be describing how he got started with scientific programming packages in Python. He'll show us how he's been using IPython Notebook, pandas, matplotlib, and Bokeh to analyze data from his research on differences in rhythmic timing accuracy.",
      "speakers": [
        "Chris Jenkins"
      ]
    },
    {
      "date": "2014-07-07 19:00:00",
      "topic": "Show and tell",
      "description": "John Mangual is a jet-setting data scientist tackling public transportation and tourism problems in NYC and Puerto Rico. He'll show us how he's been using IPython Notebook, NumPy, matplotlib to analyze MTA data.",
      "speakers": [
        "John Mangual"
      ]
    },
    {
      "date": "2014-07-14 19:00:00",
      "topic": "Regular Expressions",
      "description": "This week's topic is regular expressions. Swing by earlier in the evening to hear the very short introductory talk. <br><br>Bring your computer and pick your dataset. The goal is for all of us to get started collecting data for analysis later in the month. You can choose to scrape a website or an existing dataset. We will practice using regular expressions. You're welcome to use the Python re module or tinker with something fuller like Scrapy or Beautiful Soup.",
      "speakers": [
        "Kat Chuang"
      ]
    },
    {
      "date": "2014-07-21 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-07-28 19:00:00",
      "topic": "Charting Most Mentioned Brands in Jay-Z's songs",
      "description": "We're going to work on recreating a chart published in Vanity Fair that shows the most mentioned brands in Jay-Z songs.",
      "speakers": ["Kat Chuang"]
    },
    {
      "date": "2014-08-04 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-08-11 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-08-18 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-08-25 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-09-08 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-09-15 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-09-22 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    },
    {
      "date": "2014-09-29 19:00:00",
      "topic": "Study Hall",
      "description": "",
      "speakers": []
    }
  ]
}