Difference between revisions of "Lab assignments for ISC-4304"

Line 1: Line 1:
 
([[Media:Syllabus-ISC4304-S2017.pdf | Syllabus]]    [[Notes ISC-4304 | Classnotes]] [[Homework for ISC-4304 | Homework ]]  [[Lab assignments for ISC-4304 | Lab]]  [[Resources for ISC-4304 | Resources]]    [[FunExamples | Fun]])
 
([[Media:Syllabus-ISC4304-S2017.pdf | Syllabus]]    [[Notes ISC-4304 | Classnotes]] [[Homework for ISC-4304 | Homework ]]  [[Lab assignments for ISC-4304 | Lab]]  [[Resources for ISC-4304 | Resources]]    [[FunExamples | Fun]])
  
== Lab for Spring 2018 ==
+
== Lab for Spring 2019 ==
 
[see also on the Canvas website]
 
[see also on the Canvas website]
  

Revision as of 14:30, 6 January 2019

( Syllabus Classnotes Homework Lab Resources Fun)

Lab for Spring 2019

[see also on the Canvas website]



Old labs

  • Lab 1: Python, learn basic python commands and write a simple function PDF
  • Lab 2: Python, simple book analysis PDF PDF
  • Lab 3: Python, Conway's Game of Life PDF PDF
            (Some description of Conway's Game of Life   PDF)
  • Lab 4 Plotting with matplotlib PDF PDF
  • Lab 4: Hilbert Curve PDF, and here is a tutorial about the Hilbert curve PDF
  • Lab 5:Bayesian inference PDF
  • Lab 5 n-ODE lab PDF
  • Lab 6 Bayesian inference on 4-sided dice data using Python PDF
  • Lab 7 Bayesian inference on 4-sided dice data using C++ PDF
  • Lab 8 Translation of the numerical n-ODE example to C++ PDF
  • Lab 9 Combining Python with C++ using boost::python PDF
  • Lab 10 Speeding up a python program using Cython PDF Code to improve is this Mandelbrot Python program (look at the lectures on cython [integration and Juliaset examples) for details how to run cython)
  • Lab 1: Python, learn basic python commands and write a simple function PDF
  • Lab 2: Python, simple book analysis PDF
  • Lab 3: Python, Conway's Game of Life PDF
  • Lab 3 Addendum: Python and Matplotlib, Conway's Game of Life PDF
  • Lab 4 Plotting with matplotlib PDF
  • Lab 5 n-ODE lab PDF
  • Lab 6 Bayesian inference on 4-sided dice data using Python PDF
  • Lab 7 Bayesian inference on 4-sided dice data using C++ PDF
  • Lab 8 Translation of the numerical n-ODE example to C++ PDF Small Vector library
  • Lab 9 Combining Python with C++ using boost::python PDF
  • Lab 10 Speeding up a python program using Cython PDF Code to improve is this Mandelbrot Python program (this example [ integration.zip from the last class may help to set up the cython compile using the setup.py, it needs to be called like this: python setup.py build_ext --inplace )
  • Lab 11 Speeding up even more by running in parallel PDF