Difference between revisions of "CharmingTheSnake"
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− | *How was Python used in the research process? | + | *'''How was Python used in the research process?''' |
**Data organization | **Data organization | ||
**Took all our data from APT and converted it into tables | **Took all our data from APT and converted it into tables | ||
***All the data gathered from the sources was converted into manageable charts | ***All the data gathered from the sources was converted into manageable charts | ||
− | ***A single table with all the bands of photometry - Cull and Merge | + | ***A single table with all the bands of photometry - Cull and Merge data from all bands (Band merging) |
− | |||
**Useful for implementing multiple applications | **Useful for implementing multiple applications | ||
***Can do multiple steps/processes in one programs | ***Can do multiple steps/processes in one programs | ||
**Used for making graphs - FWHM | **Used for making graphs - FWHM | ||
− | **Used to create regions files | + | **Used to create regions files<br/><br/> |
− | + | *'''Student affective responses to learning Python''' | |
− | *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 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. | **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. | **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. | + | **It was great to learn coding by doing as a part of an ongoing project instead of learning through made up examples.<br/><br/> |
− | + | *'''Applications for high school-level research''' | |
− | *Applications for high school-level research | ||
**Can create and provide visual examples of experiments | **Can create and provide visual examples of experiments | ||
***Python (Visual Python) | ***Python (Visual Python) | ||
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**To combine multiple pools of data | **To combine multiple pools of data | ||
**Write a program to do a repetitive task | **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 | + | **Programming can be used in almost any class where I student needs to cull, sort, and analyze a large pool of data<br/><br/> |
− | + | *'''Advice & Recommendations for teachers & curriculum specialists''' | |
− | *Advice for teachers & | ||
**Start small (“Hello World”, Basic Math Operations) | **Start small (“Hello World”, Basic Math Operations) | ||
**Code Academy | **Code Academy |
Latest revision as of 13:51, 6 December 2013
- 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
- Can create and provide visual examples of experiments
- Advice & Recommendations for teachers & curriculum specialists
- 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