Finally, I am there! the coding session started.

I received the lost book yesterday morning and I have already finishes this second reading (first was during my thesis given up in 1994 to focus on my very first startup). By bits, I remember the explanations of the mechanisms. A true pleasure.

So, I started to code these mechanisms in Python by using the same approach as the author : implement a very basic filtering engine then incrementally add more complex features (kind of roadmap) :

• filter0: the very basic filter,

• filter1: with a catch-all filter,

• filter2: to be able to filter a filter (the lisp quote),

• filter3: a data driven implementation,

• filter4: filter but also extract the data,

• filter5: filter segments of data,

• filter6: use explicit continuation to manage nondeterminism,

• and so on ...

The final version of this work will be branded "pyfilter". Parking to sourceforge dot net with a GPL v3 license is envisaged.

For now, this experimental development can be followed here. Do not hesitate to make comments or proposals, the long term objective being to obtain a good usable and used library to filter information.