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PDaniBlog

Everyday puzzles in IT

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PDaniBlog | blog.pdani.org Reviews

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Everyday puzzles in IT

INTERNAL PAGES

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PDaniBlog: Indexing Python nested dicts with list of keys

http://blog.pdani.org/2014/04/indexing-python-nested-dicts-with-list.html

Everyday puzzles in IT. Indexing Python nested dicts with list of keys. This is going to be a short one, just a reminder for myself. Let's suppose you have an arbitrarily deep semi-structured dictionary, representing for example a parsed DOM tree. Also, you have lists of keys for this dict which are "pointers" to specific values in your DOM. You store these pointers in another dict. Now, you'd like to look up these values in your dict. Here's the one-liner for this situation:. Posted by Dániel Pék. Subsc...

2

PDaniBlog: Simulated annealing

http://blog.pdani.org/2012/01/simulated-annealing.html

Everyday puzzles in IT. The idea is the same:. Set up some state space with their configurations (configuration is the parameters describing the state). Figure out a - possibly randomized - procedure, which generates a new state (aka. neighbour state) from a given state. Search appropriate functions for changing the temperature based on time, and for calculating the probability of state transition based on temperature: temperature. Function) by "cooling" the system ( temperature. We chose a straightforwa...

3

PDaniBlog: Eliminate thunks in Haskell

http://blog.pdani.org/2012/07/eliminate-thunks-in-haskell.html

Everyday puzzles in IT. Eliminate thunks in Haskell. I'm learning Haskell, and it's quite a process. Haskell has a really tough learning curve. You have to face with completely different kind of issues you met with learning other imperative, or even strict functional languages. Finally, I managed to recognize a pattern in appearing of this kind of problems:. I wanted to do some transformation from one datastructure to another,. I wrote some shiny functions for the task,. It ran out of memory,. 10 6 8 2 9...

4

PDaniBlog: Making asynchronous MySQL queries in C

http://blog.pdani.org/2011/12/making-asynchronous-mysql-queries-in-c.html

Everyday puzzles in IT. Making asynchronous MySQL queries in C. I solved again a little puzzle which I think is worth to share. Problem is to run MySQL queries in the background in a C program. Scenario is the following:. Make a bigass INSERT query with logging data. Running some more calculations. INSERT again, etc. When you run the query, you have three choices:. Wait for the query being run, and for the result patiently,. Make MySQL send the query asynchronously, then periodically check for results,.

5

PDaniBlog: Backup through SSH and SFTP

http://blog.pdani.org/2012/07/backup-through-ssh-and-sftp.html

Everyday puzzles in IT. Backup through SSH and SFTP. Recently I wrote some Python code which can initiate an SFTP copy from machine A. Controlled by machine C. It's just a very raw skeleton without the need for completeness. It can be very useful with different kind of firewall constellations where some backup process should be automatically done. It consists of two Python module:. Runs on machine C. Runs on machine A. Let's have a look at both modules, which does what. This script runs on machine C.

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Stuff I do: január 2012

http://tlfabian.blogspot.com/2012_01_01_archive.html

2012 január 24., kedd. Thrift / c glib and Cassandra. Is apaches tool. It can generate client / server codes based on a file written in its own descriptor language. At first I was thrilled how easy itll be to write a Cassandra client with it: you just have to generate the C files, #include them, call a few functions and its done. Yeah Like anything in the world works like that. And this particular thing is no exception. 2012 január 20., péntek. Linux block device drivers: the queue and make request.

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Everyday puzzles in IT. Indexing Python nested dicts with list of keys. This is going to be a short one, just a reminder for myself. Let's suppose you have an arbitrarily deep semi-structured dictionary, representing for example a parsed DOM tree. Also, you have lists of keys for this dict which are "pointers" to specific values in your DOM. You store these pointers in another dict. Now, you'd like to look up these values in your dict. Here's the one-liner for this situation:. Posted by Dániel Pék. Tree)...

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