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@CristinaSolana
CristinaSolana / gist:1885435
Created February 22, 2012 14:56
Keeping a fork up to date

1. Clone your fork:

git clone [email protected]:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream
@sloria
sloria / bobp-python.md
Last active January 16, 2026 08:01
A "Best of the Best Practices" (BOBP) guide to developing in Python.

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

  • "Build tools for others that you want to be built for you." - Kenneth Reitz
  • "Simplicity is alway better than functionality." - Pieter Hintjens
@miku
miku / Makefile
Last active September 10, 2021 20:53
Multiple outputs workaround luigi.
all:
python main.py ProcessFiles --local-scheduler
clean:
rm -rf tmp/ zip.filelist.*
@peterhurford
peterhurford / pytest-fixture-modularization.md
Created July 28, 2016 15:48
How to modularize your py.test fixtures

Using py.test is great and the support for test fixtures is pretty awesome. However, in order to share your fixtures across your entire module, py.test suggests you define all your fixtures within one single conftest.py file. This is impractical if you have a large quantity of fixtures -- for better organization and readibility, you would much rather define your fixtures across multiple, well-named files. But how do you do that? ...No one on the internet seemed to know.

Turns out, however, you can define fixtures in individual files like this:

tests/fixtures/add.py

import pytest

@pytest.fixture
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@fchollet
fchollet / new_stacked_rnns.py
Last active August 13, 2019 15:23
New stacked RNNs in Keras
import keras
import numpy as np
timesteps = 60
input_dim = 64
samples = 10000
batch_size = 128
output_dim = 64
# Test data.
@solso
solso / human-web-overview.md
Last active December 6, 2019 12:36
Human Web Overview

Human Web Overview

Konark Modi, Alex Catarineu, Philipp Claßen and Josep M. Pujol at Cliqz *München, October 2016

[edited on October 2017]*

[edited on September 2019 to fix broken links and add reference to HPN paper]*

We recommend to read the article on Cliqz Tech blog, the content is more up to date there. Not removing this gist for historical reasons. December 2019.

import numbers
import random
from torchvision.transforms import functional as F
try:
import accimage
except ImportError:
accimage = None
from PIL import Image