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amyboyle.ninja

Coding With Ninjas

Stuff I’ve done or want to share. 9 Lessons From Startup Weekend. Calibrating Ultrasonic Speakers Cont. Python Qt And Virtualenv In Windows. Python Qt And Virtualenv In Linux. Intro to Desktop Applications. Intro to Command Line. Data Transformation with Digital Signal Processing. Backgrounds by Subtle Patterns. This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.

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Coding With Ninjas | amyboyle.ninja Reviews
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Stuff I’ve done or want to share. 9 Lessons From Startup Weekend. Calibrating Ultrasonic Speakers Cont. Python Qt And Virtualenv In Windows. Python Qt And Virtualenv In Linux. Intro to Desktop Applications. Intro to Command Line. Data Transformation with Digital Signal Processing. Backgrounds by Subtle Patterns. This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.
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1 coding with ninjas
2 blog
3 talks
4 blog posts
5 dsp audio
6 dsp fundamentals
7 python inheritance
8 calibrating ultrasonic speakers
9 pyqtgraph live spectrogram
10 open sourcing science
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coding with ninjas,blog,talks,blog posts,dsp audio,dsp fundamentals,python inheritance,calibrating ultrasonic speakers,pyqtgraph live spectrogram,open sourcing science,monitoring asynchronous applications
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Coding With Ninjas | amyboyle.ninja Reviews

https://amyboyle.ninja

Stuff I’ve done or want to share. 9 Lessons From Startup Weekend. Calibrating Ultrasonic Speakers Cont. Python Qt And Virtualenv In Windows. Python Qt And Virtualenv In Linux. Intro to Desktop Applications. Intro to Command Line. Data Transformation with Digital Signal Processing. Backgrounds by Subtle Patterns. This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.

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1

Coding With Ninjas

http://amyboyle.ninja/Calibrating-Ultrasonic-Speakers

Ultrasonic Speaker Calibration Adventure, Part 1. This means that if we have a stimulus with many frequency components (e.g. animal vocalizations), parts of the stimulus will be attenuated more than others. The implication is that we could lose some frequency components of the sound, and not others, to below a hearing threshold. We want to do our best to recreate a stimulus as close to a native (non-recording) sound as possible. The Way It Is. What about stimuli with multiple frequency components? That m...

2

Coding With Ninjas

http://amyboyle.ninja/DSP-Audio

This post builds on the previous one on DSP Fundamentals. In this post I am going to give an introduction to how you can use DSP to analyze and manipulate audio files. As a disclaimer, this post is going to move a little faster, and some of the links in this post will link to extra material that is more advanced, and may assume more background knowledge that I’ve included thus far. Here is an example of what that looks like:. And here is what it sounds like:. Transform to frequency domain. The r stands f...

3

Python <3 Qt

http://amyboyle.ninja/talks/2014-10-22-Intro-to-Desktop-Applications-Qt

Intro to Desktop Applications with Qt. And Python, of course). All examples here will work with either binding. I create Graphical User Interfaces (GUIs) for scientific research. Almost finished developing a new data acquisition system for the electrophysiology rig. I have used PyQt for the GUI. Great API and docs. Programming paradigm where the flow of execution is directed by events, such as user clicks. Do stuff with results. Do stuff with results. Wait for more events. Similarity to web servers.

4

Coding With Ninjas

http://amyboyle.ninja/talk_list.html

Slides for talks I’ve given:. Intro to Desktop Applications. Oct 22, 2014. Using Qt and Python to create Desktop Apps. Intro to Command Line. Apr 12, 2015. Getting started with the terminal (intro only). Jun 25, 2015. Open source tools for science research. Data Transformation with Digital Signal Processing. Jul 23, 2015. An intro to DSP. Jun 22, 2016. What and how to measure when performance monitoring async. Backgrounds by Subtle Patterns.

5

DSP - An Intro

http://amyboyle.ninja/talks/2015-07-23-DSP-Intro

Digital Signal Processing Demystified. Digital Signal Processing = DSP. We'll learn how to filter out unwanted sounds from audio files, and how to extract features from images. Why am I telling you this? Give you a starting point to dive further. I'll be using Python because . If you try to Google DSP, you will be confronted with a barely comprehensible. Googling DSP problems can lead to the situation where authors are barfing math on you. Take real-world continuous measurement. What is a Signal? Http:/ ...

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Speakers / Open Source Bridge: The conference for open source citizens

http://www.opensourcebridge.org/events/2015/speakers

The conference for open source citizens. June 21–24, 2016. Website: http:/ ameliaabreu.com/. Blog: http:/ ameliaabreu.com/writing. Favorites: View amelias favorites. UX freelancer/ info studies phd candidate at uw/ writing about tech culture. data, archives, curation, race, gender, performance music, tv and sports. How you tell the story matters: telling better stories and making better technologies. How you tell the story matters: telling better stories and making better technologies. In this workshop, ...

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Coding With Ninjas

Stuff I’ve done or want to share. 9 Lessons From Startup Weekend. Calibrating Ultrasonic Speakers Cont. Python Qt And Virtualenv In Windows. Python Qt And Virtualenv In Linux. Intro to Desktop Applications. Intro to Command Line. Data Transformation with Digital Signal Processing. Backgrounds by Subtle Patterns. This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.

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