Jason chairco

最後更新時間：

Channels Concepts

Django’s traditional view of the world revolves around requests and responses; a request comes in, Django is fired up to serve it, generates a response to send, and then Django goes away and waits for the next request.

Django's 傳統視圖看法圍繞著請求(request)與回應(responses)；一個請求進來，Django 被觸發接著服務它，產生一個回應並送出，接著 Django 離開並且等待下一個請求。

2016.11

11 月開始進行講者第一階段 10 人邀請，然後 Outing 可能無法在 11 月舉辦，工作上一些事情前半個月太忙導致有些進度似乎沒有追上（反省中）。現在比較擔心是 Keynote 進度不如預期，難怪當時亮會提到修生養性這個說法 XD。是說我也沒有他那麼厲害和積極。

整理 11 月清單:

Keynote 第二階段名單
志工招募
徵稿主題討論、unconference 流程討論。可參考 code for america
議程組月會
Sprint 的參與

Commands

httrack example.com -O ./example.com -N100 −%i0 -I0 --max-rate 0 --disable-security-limits --near -v

httrack example.com -O ./example.com-3 -N100 -I0 -N "%p/%n%[month].%t" --max-rate 0 --disable-security-limits --near  -v

Using `<details>` in GitHub

Suppose you're opening an issue and there's a lot noisey logs that may be useful.

Rather than wrecking readability, wrap it in a <details> tag!

<details>
 Summary Goes Here

How to install OpenCV 3.1 on Ubuntu 14.04 64bits

Update latest packages and installed

$ sudo apt-get update
$ sudo apt-get upgrade

apt-get update - 更新最新的套件資訊 apt-get upgrade - 更新套件

Install Terminator (shell)

sudo add-apt-repository ppa:gnome-terminator
sudo apt-get update
sudo apt-get install terminator

Terminator should be setup as default now. Restart your terminal (shortcut: "Ctrl+Alt+T").

Install ZSH

Install Python 3.7.x from https://www.python.org/downloads/ or via homebrew.

$ brew install python3   # Installed at /usr/local/Cellar/python3

Check that python3 has been installed by running it at the terminal:

$ python3
>>> Python 3.7.2

Download get-pip.py from https://bootstrap.pypa.io/get-pip.py and install (this should already be installed if python was installed from python.org or homebrew):

Python Socket 编程详细介绍

Python 提供了两个基本的 socket 模块：

Socket 它提供了标准的BSD Socket API。
SocketServer 它提供了服务器重心，可以简化网络服务器的开发。

下面讲解下 Socket模块功能。

Socket 类型

Apache Spark installation + ipython/jupyter notebook integration guide for macOS

Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112

For older versions of Spark and ipython, please, see also previous version of text.