CharmingTheSnake

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  • How was Python used in the research process?
    • Data organization
    • Took all our data from APT and converted it into tables
      • All the data gathered from the sources was converted into manageable charts
      • A single table with all the bands of photometry - Cull and Merge data from all bands (Band merging)
    • Useful for implementing multiple applications
      • Can do multiple steps/processes in one programs
    • Used for making graphs - FWHM
    • Used to create regions files
  • Student affective responses to learning Python
    • It challenged me to be more creative (coming up with ways to organize data) and detail oriented (coding so that the program runs)
    • It was easy at first with simple coding for quick results, but then it got a bit more arduous as we had to recall more code and take on larger projects with more steps. That said, it was ultimately achievable and the challenges made for a fun experience.
    • I liked the idea of being able to streamline our research process.
    • It was great to learn coding by doing as a part of an ongoing project instead of learning through made up examples.
  • Applications for high school-level research
    • Can create and provide visual examples of experiments
      • Python (Visual Python)
    • Organizing large pools of data (perhaps from databases)
      • Using organized data to create visually appealing graphs and charts
    • Sorting data so that it is easily accessible and easy to read
    • To help check math work
      • Changes to calculations take only seconds to change within a program
    • Can make formulas to aid any mathematical needs
    • To combine multiple pools of data
    • Write a program to do a repetitive task
    • Programming can be used in almost any class where I student needs to cull, sort, and analyze a large pool of data
  • Advice & Recommendations for teachers & policy makers
    • Start small (“Hello World”, Basic Math Operations)
    • Code Academy
    • Learn libraries specific to what you are doing (SciPy, NumPy, Visual)
    • Integration of programming into all STEM-based classes
    • Learn Excel programming if nothing else