mijorus

I'm writing this because I found it harder than expected, but actually is super easy.

1. From the "Commit" panel (or the "Branches" panel) focus on a commit an press c, you can select more than one
2. Go to the "Commit" panel (in the "Branches" panel it doesn't work) and press v, will ask for confirmation.
3. DONE

EDIT: With the latest release, c and v are replaced with Shift + c and Shift + v

brock

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entropiae

Install pyenv on Ubuntu 18.04 + fish shell

- Install the packages required to compile Python
$ sudo apt-get update; sudo apt-get install --no-install-recommends make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev

- Download pyenv code from github
$ git clone https://github.com/pyenv/pyenv.git ~/.pyenv

- Define environment variable PYENV_ROOT to point to the path where pyenv repo is cloned
$ echo "set --export PYENV_ROOT $HOME/.pyenv" > ~/.config/fish/conf.d/pyenv.fish

mbrochh

from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator

# First we create a little helper function, becase we will potentially have many PaginatedTypes 
# and we will potentially want to turn many querysets into paginated results:

def get_paginator(qs, page_size, page, paginated_type, **kwargs):
    p = Paginator(qs, page_size)
    try:
        page_obj = p.page(page)
    except PageNotAnInteger:

Geoyi

How to install virtualenv:

Install pip first

sudo apt-get install python3-pip

Then install virtualenv using pip3

sudo pip3 install virtualenv 

RyanAkilos

import numpy as np
from keras import backend as K
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
from sklearn.metrics import classification_report, confusion_matrix

#Start
train_data_path = 'F://data//Train'

monkut

# docker build -t ubuntu1604py36
FROM ubuntu:16.04

RUN apt-get update && \
  apt-get install -y software-properties-common && \
  add-apt-repository ppa:jonathonf/python-3.6
RUN apt-get update

RUN apt-get install -y build-essential python3.6 python3.6-dev python3-pip python3.6-venv
RUN apt-get install -y git

aparrish

alexellis

#!/bin/sh
# option 2: paste this into user-data to automate install via boot script
# NOTE: update --label=owner=YOURNAME below if you want to easily identify yours

# renames the host to have a suffix of alexellisio
export original=$(cat /etc/hostname)
sudo hostname $original-master-alexellisio
echo $original-master-alexellisio | sudo tee /etc/hostname

apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D

iambrian

Getting Setup: Follow the instruction on https://gym.openai.com/docs

git clone https://github.com/openai/gym
cd gym
pip install -e . # minimal install

Basic Example using CartPole-v0: