終於好好花個時間看完今年 IG 在 PyCon US 的 Talk 了
的確蠻值得大家花這個時間去看的

如果要看懶人包
Google 一下「PyCon」、「Instagram」有很多很清楚地整理
我也整理了一點點我覺得特別有意思的

Why Python?

(一開始主要是歷史因素,因為當初的創辦人就這麼用了 XD)

  • Use Proven Technology
    • Users do not care what database Instagram runs on. They certainly don't care what language Instagram develop in.
    • Focus on scoping and solve real problems rather than getting stuck on language detail.

But Python is still slow, right?

At instagram, our bottlenecck is development velocity, not pure code execution

The conclusion is that you can get to a few hundred million users with Python before worrying about the performance of framework and language

Python Efficiency Strategy

  1. Build extensive tools to profile and understand performance bottleneck
  2. Moving stable, citical compenents to C/C++
  3. Cythonization
  4. Async? New Python runtime?

Road to Python3

這一段講到 Instragram 如何從 Python2 轉到 Python3 的過程
我覺得很精彩,所以大家就自己去看吧 XD

我只紀錄一個我覺得特別有趣的東西
如同大家所知道的 Python2 跟 Python3 一個很大的不同點,就是對於 byte 跟 str 的處理
這就會導致我們必須先確認他的型態是否符合預期
如果不符合就要在做 encode 或 decode

可能就會像下面這樣

value = 'abc'
if isinstance(value, six.text_type):
    value = value.encode(encode='utf-8')
mymac = hamc.new(value)

Instagram 處理這種問題的功能實作成 ensure_binary, ensure_str, ensure_text 這類的 helper function

這也是我之前在 trace transitions 的 source code
發現有一個listify 的 function
雖然是蠻簡單的小技巧,不過還算蠻實用的

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