concurrency

• Random notes on Pandas and Scikit-learn

  So I first heard about Panda probably a year ago when I was in my previous job. It looked nice, but I didn’t really get the chance to use it. So practically it is a library that makes data looks like a mix of relational database table and excel sheet. It is easy to do query with it, and provides a way to process it fast if you know how to do it properly (no, I don’t, so I cheated).

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Random Posts

• Magic SQL

  Ever wanted to find the number of days between two dates without counting weekend (Saturdays and Sundays)? In PHP you typically needs to do a lot of calculation and a lot of factors needs to be considered. Therefore, in the end you will end up having a whole bunch of code that you will probably start asking yourself whether you are programming a web-calendar or something similar.

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• Quick and Dirty way to manage my VIM config

  Not sure about the others, but the obsession to my coding tools is probably more than I would admit. I have just managed to do a dirty quick hack to manage my VIM configuration settings. While I am sure there are other people doing this, I would like to show my reinvented wheels.

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• The Little Pythoner, Part 3

  Previously, I started practising recursions by implementing a type check on lat (list of atoms), and ismember (whether an atom is a member of a given lat). Then in the third chapter, named “Cons the Magnificent”, more list manipulation methods are being introduced.

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• Learning a new language for more than 2 months (feat. Exercism)

  Usually I take about a week to learn a new language so I can start doing some real work with it. After all a programming language (at least the high level and dynamic ones) is just assignment, calculation, branching, looping and reuse (and in certain cases, concurrency/parallelism, not gonna dive deep in defining the difference though). Well, that was true until I started learning Rust, partly for my own leisure.

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• Processing JSON with dask.bag

  Often times, I am dealing with JSONL files, though panda’s DataFrame is great (and blaze to certain extend), however it is offering too much for the job. Most of the received data is in the form of structured text and I do all sorts of work with them. For example checking for consistency, doing replace based on values of other columns, stripping whitespace etc.

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