1. Introduction to Functional Programming

    Functional programming

    • a style of programming where your output is determined solely by your input
    • The function does not change anything outside of it or depend on external data to produce the output

    Why use Functional programming?:

    • makes your code easier to understand, test, debug and build upon
    • It's widely used in data analysis and other fields where computation is important
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  2. Introduction to Jupyter Notebooks and Pandas

    Jupyter Notebooks

    • This is a jupyter notebook file (file extension is .ipynb for python notebook versus .py for standard python scripts)
    • It is a format used by many data scientists and researchers for analysis and visualization tasks

    1. New to Jupyter notebooks?:

    • Jupyter Notebooks are useful because (a) they are easier to work with and understand than single python script files (.py) and
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  3. Tornados at Night

    Historical U.S. Tornado Events Analysis (1950-2022)

    I. Data source overview

    • Name : U.S. TORNADOES (1950-2022)
      • Source: NOAA NWS Storm Prediction Center Severe weather database
      • Geographical distribution: US and territories (Puerto Rico, Virgin Islands)
      • Description: comma separated value (.csv) files for tornadoes as compiled from NWS Storm Data. Tornado reports …
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