profrodai

from pathlib import Path
import os

p = Path('03_Books/')

for ix, path in enumerate(sorted(os.listdir(p))):
    if '.DS_Store' not in path:
        full_path = os.path.join(p, path)
        if os.path.isdir(full_path):
            if ix < 10:

profrodai

Working with Tmux

A series of links to work with tmux

• http://peterforgacs.github.io/2017/04/25/Tmux/
• https://www.linode.com/docs/networking/ssh/persistent-terminal-sessions-with-tmux/

profrodai

Working with Windows and the Ubuntu bash

• Check install instructions at http://cdn.skoltech.ru/files/manuals/VPN_access_instruction_eng.pdf
• Download the cisco client
• First run on powershell: Get-DnsClientServerAddress -AddressFamily IPv4 | Select-Object -ExpandPropert ServerAddresses
• Copy the ip listed
• Open the Ubuntu bash
• Open resolv.conf
• sudo nano /etc/resolv.conf
• Edit the /etc/resolv.conf and replace all nameserver {ip} with the ones generated by the top one.
• Save file

profrodai

*.csv
output/

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

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jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace TSFresh_per_Cluster1-Copy3.ipynb

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git clone https://github.com/DhavalThkkar/DeepLearningDocker.git
# Comment out everything but last line in bash nvidia_docker.sh
bash nvidia_docker.sh
nano Dockerfile.gpu
# Edit the version of the cuda image
# 9.1-cudnn7-devel-ubuntu16.04
# Add latest versions 
# https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh
# https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.8.0-cp36-cp36m-linux_x86_64.whl
docker build -t riverar_docker_tfgpu_conda -f Dockerfile.gpu .

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Keybase proof

I hereby claim:

• I am rorcde on github.
• I am rodrigorivera (https://keybase.io/rodrigorivera) on keybase.
• I have a public key ASAknirxG5Uu2eTghkyQjMHSscE7FNE7AjBQFxDE5W1zigo

To claim this, I am signing this object: