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Backward Induction

Backward Induction - A blog by Oliver Stollmann. Raquo; Python implementation of the Discrete Fourier Transform and its Inverse. Raquo; Analysing logs with simple UNIX commands. Raquo; Functional Purity (the dangers of non-referentially transparent functions). Raquo; Snap Framework Basics. Raquo; Caching Referentially Transparent Functions (Python). Raquo; Runtime Class Change (Python). Raquo; Handling plain/gzip HTTP data on the fly (Python). Raquo; Function Composition (Python).

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Backward Induction | blog.o1iver.net Reviews

https://blog.o1iver.net

Backward Induction - A blog by Oliver Stollmann. Raquo; Python implementation of the Discrete Fourier Transform and its Inverse. Raquo; Analysing logs with simple UNIX commands. Raquo; Functional Purity (the dangers of non-referentially transparent functions). Raquo; Snap Framework Basics. Raquo; Caching Referentially Transparent Functions (Python). Raquo; Runtime Class Change (Python). Raquo; Handling plain/gzip HTTP data on the fly (Python). Raquo; Function Composition (Python).

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blog.o1iver.net blog.o1iver.net
1

Functional Purity (the dangers of non-referentially transparent functions)

http://blog.o1iver.net/2011/11/27/functional-purity.html

Backward Induction - A blog by Oliver Stollmann. Functional Purity (the dangers of non-referentially transparent functions). People have asked me what is so attractive about a purely functional language like Haskell. Well I thought that instead of tyring to convince people with words I would simply give an example. Here is a very simple piece of C code that shows the dangers of impure code:. What is the value of oliver- name now? You cannot guarantee it! So what's the problem? The type of the. Because of...

2

Python implementation of the Discrete Fourier Transform and its Inverse

http://blog.o1iver.net/2011/12/06/python-discrete-fourier-transformation.html

Backward Induction - A blog by Oliver Stollmann. Python implementation of the Discrete Fourier Transform and its Inverse. Are exceptionally useful for signal analysis. Here is a python implementation of the discrete fourier transform and it's inverse. Note: computing fourier transforms like this is not efficient. If you actually need to compute fourier tranforms consider using fast fourier transforms. Inverse discrete fourier transform. Note: I have only tested this in python 3. A blog by Oliver Stollmann.

3

Snap Framework Basics

http://blog.o1iver.net/2011/11/17/snap-framework-basics.html

Backward Induction - A blog by Oliver Stollmann. This post is a Work-In-Procress. As I dive deeper and deeper into Snap. I will keep updating this with information that I think is key to understanding Snap. I usually develop in Python. Although that has more to do with the languages look-and-feel than anything else. After almost ten years of progamming I have come to the conclusion that that is one of the most important aspects of a language. If you like static-typing. Haskell is a beauty. If Java. So be...

4

Caching Referentially Transparent Functions (Python)

http://blog.o1iver.net/2011/11/05/python-caching-referentially-transparent-functions.html

Backward Induction - A blog by Oliver Stollmann. Caching Referentially Transparent Functions (Python). Because such a function will always produce the same output given a same input, it is quite easy to cache. Note: this is an illustration, with shortcomings. For example: calling a function with named arguments in different orders will cause a cache miss, although this is still an equivalent call. Raquo; Python implementation of the Discrete Fourier Transform and its Inverse. A blog by Oliver Stollmann.

5

Sorting With Lambda (Python)

http://blog.o1iver.net/2011/07/27/python-sorting-with-lambda.html

Backward Induction - A blog by Oliver Stollmann. Sorting With Lambda (Python). Today somebody on #python on freenode asked about some examples of when they would need lambdas in python. Here is a simple example of how to do a non-trivial sort:. Raquo; Python implementation of the Discrete Fourier Transform and its Inverse. Raquo; Analysing logs with simple UNIX commands. Raquo; Functional Purity (the dangers of non-referentially transparent functions). A blog by Oliver Stollmann.

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Backward Induction

Backward Induction - A blog by Oliver Stollmann. Raquo; Python implementation of the Discrete Fourier Transform and its Inverse. Raquo; Analysing logs with simple UNIX commands. Raquo; Functional Purity (the dangers of non-referentially transparent functions). Raquo; Snap Framework Basics. Raquo; Caching Referentially Transparent Functions (Python). Raquo; Runtime Class Change (Python). Raquo; Handling plain/gzip HTTP data on the fly (Python). Raquo; Function Composition (Python).

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