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Computational Stuff

Thursday, 26 June 2014. Debugging Python extensions in Eclipse. To accelerate your Python code it may be helpful to implement some of the computationally intensive routines in C . This is what makes Python a powerful tool for prototyping numerical algorithm that extensively use numpy and scipy routines that were implemented in C or Fortran. One way to do it, would be to follow the Python/C API Reference Manual. But unless you want to do some highly specific stuff like specific memory management. Swig -o ...

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Computational Stuff | mlocs.blogspot.com Reviews

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Thursday, 26 June 2014. Debugging Python extensions in Eclipse. To accelerate your Python code it may be helpful to implement some of the computationally intensive routines in C . This is what makes Python a powerful tool for prototyping numerical algorithm that extensively use numpy and scipy routines that were implemented in C or Fortran. One way to do it, would be to follow the Python/C API Reference Manual. But unless you want to do some highly specific stuff like specific memory management. Swig -o ...

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Computational Stuff | mlocs.blogspot.com Reviews

https://mlocs.blogspot.com

Thursday, 26 June 2014. Debugging Python extensions in Eclipse. To accelerate your Python code it may be helpful to implement some of the computationally intensive routines in C . This is what makes Python a powerful tool for prototyping numerical algorithm that extensively use numpy and scipy routines that were implemented in C or Fortran. One way to do it, would be to follow the Python/C API Reference Manual. But unless you want to do some highly specific stuff like specific memory management. Swig -o ...

INTERNAL PAGES

mlocs.blogspot.com

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Computational Stuff: June 2014

http://www.mlocs.blogspot.com/2014_06_01_archive.html

Thursday, 26 June 2014. Debugging Python extensions in Eclipse. To accelerate your Python code it may be helpful to implement some of the computationally intensive routines in C . This is what makes Python a powerful tool for prototyping numerical algorithm that extensively use numpy and scipy routines that were implemented in C or Fortran. One way to do it, would be to follow the Python/C API Reference Manual. But unless you want to do some highly specific stuff like specific memory management. Swig -o ...

2

Computational Stuff: May 2012

http://www.mlocs.blogspot.com/2012_05_01_archive.html

Saturday, 19 May 2012. Highlighting differences in th complex LaTeX documents. Wouldn't it be much more convenient to have new passages highlighted in red directly in the pdf-document generated from you LaTeX source? This post shows you how to do it. Is a Perl script that compares two LaTeX files and creates a new LaTeX document, where the differences are highlighted. It is in Ubuntu repository, so you can install it simply by executing. Sudo apt-get install latexdiff. The command is very simple:. Is sel...

3

Computational Stuff: May 2011

http://www.mlocs.blogspot.com/2011_05_01_archive.html

Thursday, 26 May 2011. Database copy with minimal access rights. Currently, I faced a very specific problem. I needed to duplicate a remote database locally. The problem was that I had only rights to execute. Statements on the remote computer. Maybe this post will help others to save time looking for the solution. The reference manual of MySQL. Describes how to copy a database from one computer to another. Using the instructions in the manual, I ended up using. Once the software is installed. Run.

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Computational Stuff: September 2010

http://www.mlocs.blogspot.com/2010_09_01_archive.html

Wednesday, 15 September 2010. Journals and Conferences Titles Abbreviations in BibTeX. Writing the report for my current project, I came across the problem of finding appropriate abbreviations for titles of journals and conferences. So for example one should write "Ann." instead of "Annals", "Conf." instead of "Conference on", etc. Can be used to substitute keywords with abbreviated journal titles. Just include it in your main latex file as described in this example. Subscribe to: Posts (Atom).

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Computational Stuff: August 2011

http://www.mlocs.blogspot.com/2011_08_01_archive.html

Sunday, 7 August 2011. Lists of lambda functions in Python. In Python offer a very convenient way to integrate functional programming in your imperative or object-oriented code. To keep it flexible one may need to generate the code of the lambda function at runtime. To make it work a simple trick is needed. For the sake of illustration let us take a very simple example. Supposedly, we want to evaluate the sum of every N. If we test our functions now, we will get a wrong results:. My list = range(12).

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mlocs.blogspot.com

Computational Stuff

Thursday, 26 June 2014. Debugging Python extensions in Eclipse. To accelerate your Python code it may be helpful to implement some of the computationally intensive routines in C . This is what makes Python a powerful tool for prototyping numerical algorithm that extensively use numpy and scipy routines that were implemented in C or Fortran. One way to do it, would be to follow the Python/C API Reference Manual. But unless you want to do some highly specific stuff like specific memory management. Swig -o ...

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