leoh0

docker_as_a_storage

Upload with docker, download with only curl.

1. upload your file

REPO=YOUR_DOCKER_ID ./docker_as_a_storage.sh <file or directory>

markheckmann

# remove sheet protection in Excel
# Sample file: https://www.dropbox.com/s/4ul0kowrscyr8cz/excel_protected.xlsx?dl=0
 
library(stringr)
library(zip)

# file with protected sheets
file <- "data/excel_protected.xlsx"

# file name and path after removing protection

ashokpant

#!/bin/bash

# install CUDA Toolkit v9.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda-9-0

mingrammer

function createCSV(data) {
    var lineDelimiter = '\n';
    var csv = {
        'title': '',
        'head': '',
        'body': ''
    };

    csv.title = 'csv-title.csv';
    csv.head = '...'; // make your own csv head

CodingDoug

Copying Data from a Google Sheet into Firebase Realtime Database in real time via Apps Script

If you're trying to do this, you came to the right place!

Watch this code work in real time: https://twitter.com/CodingDoug/status/942576182276497409

See also this gist for copying in the other direction: https://gist.github.com/CodingDoug/ffc4f050cc489a0280eb7f4cbe36af07

Setup

kkweon

나만의 Docker Reference

• Docker 타겟유저
  • 빌드 문제
  • DB사용
  • 배포
  • Scalability
• Docker와 함께하는 개발 workflow
• Docker 연습 환경

alexellis

This guide has moved to a GitHub repository to enable collaboration and community input via pull-requests.

https://github.com/alexellis/k8s-on-raspbian

Alex

strarsis

Edit (September 2020):

• Docker for Desktop can run on WSL 2 without any Virtual machine!
• WSL 2 is now available for stable Windows 10 (not just Insiders) via the (stable) Windows 10 May 2020 Update.
• WSL 2 is available for Windows Home editions, too, you don't need a Pro license!
• Docker for Desktop with WSL 2 eliminates many issues inherent to running a Linux VM and using shares into that VM.
• WSL 2 supports *nix permissions on Windows file systems mounted into WSL 2 (Postgres container mounts come into mind).
• WSL 2 also supports full GPU access – CUDA and such, too, since the 2021H2 November update even in non-insiders, stable!!
• VirtualBox (in recent version) [can now coexist with Hyper-V](https://us.informatiweb.net/tutorials/it/virtual

killeent

A Tour of PyTorch Internals (Part I)

The fundamental unit in PyTorch is the Tensor. This post will serve as an overview for how we implement Tensors in PyTorch, such that the user can interact with it from the Python shell. In particular, we want to answer four main questions:

1. How does PyTorch extend the Python interpreter to define a Tensor type that can be manipulated from Python code?
2. How does PyTorch wrap the C libraries that actually define the Tensor's properties and methods?
3. How does PyTorch cwrap work to generate code for Tensor methods?
4. How does PyTorch's build system take all of these components to compile and generate a workable application?

Extending the Python Interpreter

PyTorch defines a new package torch. In this post we will consider the ._C module. This module is known as an "extension module" - a Python module written in C. Such modules allow us to define new built-in object types (e.g. the Tensor) and to call C/C++ functions.

brandonrobertz

# coding: utf-8
from __future__ import print_function
import numpy as np
from keras.models import Sequential
from keras.layers import Embedding

window_size = 1

# using skipgram embeddings built using fasttext:
# fasttext skipgram -input dataset -output dataset.skipgram