{"database": "nicar", "table": "sessions", "rows": [[182, 4240, "Python 2: Intro to data analysis using pandas", "Imagine rolling Excel and MySQL into one tool that also allows you to track your code and share it. That\u2019s pandas in a nutshell. There\u2019s a lot more you can do with it, of course, but this will be a good start. We\u2019ll learn how to slice and dice our data and extract basic stats. Specifically, we\u2019ll cover loading the data, filtering, sorting and grouping data. This class is good for: People who are comfortable with Excel and are familiar with the basics of SQL and Python. ", 13, "2019-03-07", "2019-03-07 15:30:00", "2019-03-07 16:30:00", 0, 0, 0, "Lam Thuy Vo, Buzzfeed News", 3, null, 2, "Python 2: Intro to data analysis using pandas"]], "columns": ["rowid", "event_id", "name", "clean_description", "location_room", "start_date_clean", "start_time", "end_time", "pre_reg_flag", "paid_flag", "laptop_flag", "speakers_cleaned", "session_type", "keywords", "skill_level", "session_title"], "primary_keys": ["rowid"], "primary_key_values": ["182"], "units": {}, "query_ms": 0.3256797790527344}