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@whoisryosuke
whoisryosuke / Update-branch.md
Created September 17, 2019 17:38 — forked from santisbon/Update-branch.md
Bring your feature branch up to date with master. Deploying from Git branches adds flexibility. Bring your branch up to date with master and deploy it to make sure everything works. If everything looks good the branch can be merged. Otherwise, you can deploy your master branch to return production to its stable state.

Updating a feature branch

First we'll update your local master branch. Go to your local project and check out the branch you want to merge into (your local master branch)

$ git checkout master

Fetch the remote, bringing the branches and their commits from the remote repository. You can use the -p, --prune option to delete any remote-tracking references that no longer exist in the remote. Commits to master will be stored in a local branch, remotes/origin/master

@EPiC-Inc
EPiC-Inc / super_awesome.py
Last active July 11, 2022 12:24
Python get output from PowerShell command
import subprocess
from subprocess import PIPE
from threading import Thread
try:
from queue import Queue, Empty
except:
from Queue import Queue, Empty
# This creates a queue object and a function to put properly formatted stuff in it
q = Queue()
@y0ngb1n
y0ngb1n / docker-registry-mirrors.md
Last active May 15, 2025 02:19
国内的 Docker Hub 镜像加速器,由国内教育机构与各大云服务商提供的镜像加速服务 | Dockerized 实践 https://github.com/y0ngb1n/dockerized
@dsuess
dsuess / Dockerfile
Last active July 31, 2024 10:11
xeus-cling C++ Jupyter kernel inside a docker container
FROM frolvlad/alpine-miniconda3
RUN conda install -y -c conda-forge bash jupyter jupyter_contrib_nbextensions
RUN conda install -y -c conda-forge xeus-cling xtensor
RUN mkdir /notebooks
@HarshTrivedi
HarshTrivedi / pad_packed_demo.py
Last active April 17, 2025 01:26 — forked from Tushar-N/pad_packed_demo.py
Minimal tutorial on packing (pack_padded_sequence) and unpacking (pad_packed_sequence) sequences in pytorch.
import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
# Step 1: Construct Vocabulary
# Step 2: Load indexed data (list of instances, where each instance is list of character indices)
@andy0130tw
andy0130tw / 00-hello-world.py
Created March 10, 2018 00:52
PyGObject examples used in SITCON 2018.
import sys
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Gio
class Application(Gtk.Application):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.window = None

【Ethereum 智能合約開發筆記】不用自己跑節點,使用 Infura 和 web3.js 呼叫合約

Infura Logo From Consensys

Infura 提供公開的 Ethereum 主網和測試網路節點。到 Infura 官網申請,只要輸入一點基本資料和 Email,就可以收到 API-key。

Infura API Key


@korakot
korakot / colab_download.py
Created November 15, 2017 08:40
Google colab file upload/download
files.download('example.txt') # from colab to browser download
@noygal
noygal / Windows Subsystem for Linux version 1 and 2 (WSL) - node install guide.md
Last active October 16, 2024 01:06
Installing node via windows subsystem for linux

Windows 10 version 2004 - Installing Node.js on Windows Subsystem for Linux (WSL/WSL2)

UPDATE (Fall 2020): This gist is an updated version to the Windows 10 Fall Creators Update - Installing Node.js on Windows Subsystem for Linux (WSL) guide, I usually just keep here notes, configuration or short guides for personal use, it was nice to know it also helps other ppl, I hope this one too.

Windows updated windows subsystem for linux to version 2, as the F.A.Q stated you can still use WSL version 1 side by side with version 2. I'm not sure about existing WSL machines surviving the upgrade process, but as always backup and 🤞. NOTE: WSL version 1 is not replace/deprecated, and there ar

@ivanleoncz
ivanleoncz / flask_job_scheduler.py
Last active June 27, 2024 07:23
Demonstrating APScheduler on a Flask App.
#!/usr/bin/python3
""" Demonstrating APScheduler feature for small Flask App. """
from apscheduler.schedulers.background import BackgroundScheduler
from flask import Flask
def sensor():
""" Function for test purposes. """
print("Scheduler is alive!")