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Programs
Link to Program |
Description |
| HTML | |
| webpage.zip | Starting files for your webpage; includes index and section template. |
| Website Index | The starting template for making your webpage. |
| Section Template HTML | Section template for module writeups. |
| Format Examples HTML | An html document with several formatting examples. |
| Python (save as .py) | |
| macslib.py | MACS Plotting Library. Matplotlib and numpy made ever easier. |
| lineFit.py | For module 1.F: Plot data points and fit a line to them. |
| sequence.py | For module 2.B: Plot a sequence and connect the points, showing growth. |
| fibLoops.py | For module 2.C: Practice adding items to a list, using for loops, and the coding the Fibonacci Sequence. |
| cTendency.py | For module 3.A: Practice coding mean, median and generate the pseudo code for mode. |
| weatherData.py | For module 3.B: Plot time-series data daily, weekly, and monthly. |
| fairDice.py | For module 4.C: Use a histogram to determine if random numbers are chosen fairly. |
| cards.py | For module 4.E: Use the cards.py program to explore conditional probabilities. |
| zombieDice.py | For module 5.B: After playing "zombie dice", program a simplified version of it. |
| randomNumbers.py | For module 5.C: Compete against your peers to write the best random number generator. |
| sampleData.py | For module 5.D: Sample a height dataset and plot the occurrence count. |
| 1Ddistance.py | For module 6.B: Compute distances in one dimension. Add a second dimension. |
| tsp.py | For module 6.C: Compute a solution to the travelling salesman problem and compare it with your guess. |
| 3Ddistance.py | For module 7.A: Compute distances between points in three dimensions. |
| kMeans.py | For module 7.B: Play with k-means. Guess which points belong to each cluster. |
| imageMatrix.py | For module 8.B: Play with matrices by modifying the pixels in an image. |
| imageMatrix3D.py | For module 8.B: Demo of 3D transformation and projection using 4x4 matrices. |
| fibRecurse.py | For module 9.A: Play with recursion and calculate numbers in the fibonacci sequence with recursion. |
| fibRecurse.py | For module 9.B: Compare Fibonacci implementations to see which is fastest. |
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