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tl;dr: PyEMD documentation has a section on speeding up tweaks.
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Have you seen cartoons drawn by the XKCD or, alternatively, Randall Munroe?
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Presenting to you one of the side projects: the Personal Progress.
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Yep, it's one of those titles where unless you know what it's about you probably don't know what it's about.
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In the software world, there's a saying "if you want users to get excited about a new release, change buttons' colours."
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Despite my strong opinion against the AWS Glue with its unfriendly documentation and strange approach to anything...
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Most of my projects now are separated from the beginning into logical entities and put into docker.
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I've been postponing describing my experience with AWS Glue for a couple of months now.
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Let me share with you the thing I found on the internet.
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There has been a surprising shift in my approach to writing.
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Having more time I started retrospect on my previous projects and attempt to extract characteristics that lead either to success, or failure.
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Working for a tech behemoth corp is significantly different than what I expected joining.
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There was a significant update on my title.
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For the past few years, my life has been on hold.
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In Ubuntu 18.04, typing in Nautilus file manager makes a deep search through it's all subdirectories.
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The last post about AWS EMR and S3 has resulted in a few people messaging me directly.
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One of the recent projects I've worked on involved processing billions of row stored in AWS S3 in terabyte size data.
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Although learning and book knowledge are the best, my personal relationship with reading activity is not the friendliest.
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Quick ad hoc command: :%!
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Chances are you heard that multiprocessing in Python is hard.
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CEEMDAN is available in Python through PyEMD.
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My "writing" work currently goes somewhere else and have little motivation to write anything here.
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Amazon with it's Amazon Web Service (AWS) is pretty cool.
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One of the packages I intend long term maintain and support is Python implementation of Empirical Mode Decomposition (EMD) called PyEMD.
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I'm becoming increasingly convinced that using GitHub to share projects, even in work-in-progress (WIP) state is quite beneficial.
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tl;dr: Project on github: https://github.com/laszukdawid/pystan-kuramoto
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Only recently I've started using VIM as my default editor and...
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Those who know me, know that I'm not a fan of using mouse.
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Code for Kuramoto in Python is available here or from code subpage.
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It came to my attention that my PSO for Python is actually quite popular.
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Recent challenge I had was to convert two given numpy arrays such it'll be possible to have them in common type without losing information.
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Sometimes when we ask for random we don't actually mean random by just random.
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Only recently I have started to use Python 3.
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A while ago I've started to taste a bit how it feels to work in industry and it feels quite nice.
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I'm an avid podcast listener.
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tl;dr: Read subject and click on link below.
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This blog needs some lightening up and what a better way to do that than post some graphs?
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tl;dr: I'm going less quality, more quantity.
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Another of my papers [1] (see About) has been published recently.
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This is a summary.
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For the past few years I've been teaching few modules for Master students, such as programming or signal processing.
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Update: Code and direct access to examples can be found on my GitHub reccurrence-plot.
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This won't be long entry.
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For a while now, I've been involved in Kuramoto models and adjusting them to data.
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[Updated version available.
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On Friday 13th Feb I went to Wolfram Research European Ltd in Oxfordshire for Introductory training* on Wolfram Mathematica.
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Probably many know that Wolfram Mathematica is a great tool.
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As mentioned in previous posts, one of the main drawbacks of EMD is its poor stability.
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When trying to explain something to someone it is usually much better to actually present it in a graphical form.
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Soon after EMD was proposed researchers started analysing it and testing it for different sorts of applications.