Difference between revisions of "Notes ISC-4304"
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− | ([[Media:Syllabus-ISC4304- | + | ([[Media:Syllabus-ISC4304-S2018.pdf | Syllabus]] [[Notes ISC-4304 | Classnotes]] [[Homework for ISC-4304 | Homework ]] [[Lab assignments for ISC-4304 | Lab]] [[Resources for ISC-4304 | Resources]] [[FunExamples | Fun]]) |
Revision as of 21:45, 7 January 2018
( Syllabus Classnotes Homework Lab Resources Fun)
(for Spring semester 2017)
- Lecture 1 (Overview) January 10
- Lecture 2 (Python Modules and Interaction with the OS) January 12
- Lecture 3 (Containers in python) January 17
- Lecture 4 (Functions) January 29
- Lecture 5 (Text processing) January 24
- Lecture 6 (Plotting with matplotlib) January 26
- Lecture 7 (scientific computing with numpy) January 31
- Lecture 8 (scientific computing with scipy) February 2
- Lecture 9 (Object orientation with Python 1) February 7
- Lecture 10 (Object orientation with Python 2) February 9
- Tuesday February 14 2017: Question answer session on matplotlib
- Lecture 12 (Iterators and Generators) February 16
- Lecture 13 (Debugging and Beautifcation) February 23
- Lecture 14 (Speed) February 28 ( Original Lecture)
- Lecture 15 (alternatives to Python: Julia) March 2 (Complete package with IJulia notebooks) [for installation of Julia and IJulia look at the Julia main website ].
- Lecture 16 C++ Pointers and such March 21
- Lecture 17 C++ References March 23
- Lecture 18 STL March 28
- Additional Material on const correctness and operator overloading operator instructions; Const-correctness
- Lecture 19 Boost-Python March 30 Installation of Boost-Python from scratch and trial of a simple example C++/python program ( Example code is in the codes section under boost_1unix.zip); we will also look at MrBook's stuff on Makefiles
- Lecture 20 Boost-Python
- Lecture 21 Cython April 11 Example Codes
- Lecture 22 Cython versus Boost April 13 Deathmatch_boost_cython An excellent discussion of the Julia set(s) can be found here and here
- Lecture 23 STL/C++/Cython/Python walkthrough April 18 (partial Example code)
- Lecture 24 Fortran/Parallel speed improvement walkthrough April 20 (Example code)
- FAQ about cython with an example (Philip will lead) (Example code)
Old slides
- Lecture 1 (Overview) January 8
- Lecture 2 (Python Modules and Interaction with the OS) January 13
- Lecture 3 (Containers in python) January 15
- Lecture 4 (Functions) January 20
- Lecture 5 (Text processing) January 22
- Lecture 6 (Plotting with matplotlib) January 27
- Lecture 7 (scientific computing with numpy) January 29
- Lecture 8 (scientific computing with scipy) February 3
- Lecture 9 (Object orientation with Python 1) February 5
- Lecture 10 (Object orientation with Python 2) February 10
- Lecture 11 (Solving a ODE with n variables) February 12 (download zip file from here)
- Lecture 12 (Iterators and Generators) February 17
- Lecture 13 (Speed) February 19 ( Original Lecture)
- Lecture 14 (Debugging and Beautifcation) February 24
- Lecture 15 (alternatives to Python: Julia) February 24 (Complete package with IJulia notebooks) [for installation of Julia and IJulia look at the Julia main website ].
- Lecture 16 C++ Pointers and such March 17
- Lecture 17 C++ References March 24
- Lecture 18 C++ references/Const/operators March 26, coding an example class: operator instructions; Const-correctness
- Installation of Boost-Python from scratch and trial of a simple example C++/python program Example code Lecture 19 Boost-Python March 31
- Lecture 20 Boost-Python April 2
- Lecture 21 Cython April 7
- Lecture 22 More Cython practice April 9 (Example code)
- Lecture 23 C++ templates and the STL April 14 (Example code)
- Lecture 24 STL/C++/Cython/Python walkthrough April 16 (Example code)