South on I-35, 2 hours
- Ski Jump Campground (unimproved), $14 / night
| #!/usr/bin/python3 | |
| # Usage: | |
| #lh.py on | |
| #lh.py off | |
| # with no arguments, state will be toggled (off -> on, on -> off) | |
| #lh.py | |
| from bluepy import btle | |
| import sys |
| # How to Edit Gameplay Footage | |
| ## Identify the Narratives | |
| There will likely be at least four narratives going on at any one time. | |
| 1. Channel/life narrative | |
| a. Who are you as a person? | |
| b. What's this channel about? | |
| 2. Personal/life narrative (more temporally local than the channel narrative) |
| import bcolz | |
| import bquery | |
| data_path = '/some/place/with/bcolz/data' | |
| c_table = bquery.ctable(rootdir=data_path) | |
| ## Filter | |
| # create the criteria |
Assumptions:
three things matter: developer productivity, production performance, infrastructure cost
same code on client and server (developer productivity)
| #!/usr/bin/bash | |
| # pass in a single argument with the name of the project | |
| mkdir git | |
| mkdir git/$1 | |
| mkdir apps | |
| mkdir apps/$1 | |
| mkdir deployments |
| # First run the python data science script: https://gist.github.com/waylonflinn/506f563573600d944923 | |
| # cuda | |
| # wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_6.5-14_amd64.deb | |
| # dpkg -i cuda-repo-ubuntu1404_6.5-14_amd64.deb | |
| # sudo apt-get update | |
| # sudo apt-get install -y cuda | |
| # pushd installs | |
| # wget https://github.com/BVLC/caffe/archive/v0.9999.tar.gz | |
| # tar -xvf v0.9999.tar.gz |
| #! /usr/bin/env python | |
| # this script filters output from ipython notebooks, for use in git repos | |
| # http://stackoverflow.com/questions/18734739/using-ipython-notebooks-under-version-control | |
| # | |
| # put this file in a `bin` directory in your home directory, then run the following commands: | |
| # | |
| # chmod a+x ~/bin/ipynb_output_filter.py | |
| # echo -e "*.ipynb \t filter=dropoutput_ipynb" >> ~/.gitattributes | |
| # git config --global core.attributesfile ~/.gitattributes | |
| # git config --global filter.dropoutput_ipynb.clean ~/bin/ipynb_output_filter.py |
| #!/usr/bin/env bash | |
| ## create an ubuntu 14.04 hvm instance, then from your home directory: | |
| # 1. download this script | |
| # wget https://gist.githubusercontent.com/waylonflinn/506f563573600d944923/raw/install-python-data-science.sh | |
| # 2. make it executable | |
| # chmod a+x install-python-data-science.sh |