012 python cProfile (part 1)

Using tool cProfile to take a look: how to measure and judge performance.

More detail reference: https://docs.python.org/2/library/profile.html
Example: https://github.com/vash-hsu/python/blob/master/python_test/brute_force.py

011 Twisted Network Programming, Hock httpd server for testing http status code

https://github.com/vash-hsu/python/tree/master/python_twisted

python_twisted>python httpd_mock_status_code.py
Usage: httpd_mock_status_code.py [Port Number]
  i.e. httpd_mock_status_code.py 8000
       hosting httpd on *:8000

010 steps to build a free email analysis tool chain

　　一定有 bug，不解釋；等補完 unittest 再來 refactor。

|~~~~~~~~~|     |------|     |--------|     |--------|
| mailbox | ==> | pop3 | ==> | reader | ==> | trying |
|~~~~~~~~~|     |------|     |--------|     |--------|

• 先從自己的信箱取得 mail sample

• 使用 python 的 email 跟 google solution (也就是搜尋別人的解法)

•  意思意思補三個單元測試

https://github.com/vash-hsu/python/tree/master/anti_spam

009 test coverage in python

　　寫扣一起寫單元測試，就像炒菜要加鹽，接下來會問的問題就是，鹽加的夠不夠，會不會加太多，鈉含量會不會過高。

• 鹽加的不夠，菜的鮮度提不上來；測試涵蓋率不高，扣的品質無人知道。
• 鹽加的太多，傷腎傷胃血壓飆升；測試涵蓋度追高，傷肝傷心是否划算。
• 鈉含量太高，影響智力骨質流失；搭謎測試衝業績，勝了比例輸了徵兆。

進一段廣告，讓我們來看看 python 怎麼做程式碼涵蓋率測試。

008 unittest in python

　　寫扣不寫單元測試，感覺就像炒菜不加鹽，不是大問題，只是怪怪的。

  Let's have a try with unittest in python. There are threes examples mentioned below, one is for "__name__", another is by "import unittest", and the other is reserved for someone who would like to customize his/her unittest via command line.

007 Group Keyword and Counting for Top N

#!/usr/bin/env python

# http://katazen.blogspot.com/2014/04/006-python-cookbook-01-09-finding-common.html
# http://katazen.blogspot.com/2014/04/006-python-cookbook-01-12-most.html

# http://stackoverflow.com/questions/743806/split-string-into-a-list-in-python
# http://www.saltycrane.com/blog/2007/09/how-to-sort-python-dictionary-by-keys/

Requirements:

• There is one text section and it needs to select Top 10 keywords, which occurs at least thrice.
• Even there is two text sections, it is still easy to merge the meta statistic.
• It should be friendly to redirect to formatted output, such as CSV for Weka.

006 Python Cookbook 01-12 Most Frequently Items

#!/usr/bin/env python

# http://chimera.labs.oreilly.com/books/1230000000393/ch01.html#_determining_the_most_frequently_occurring_items_in_a_sequence
# 1.12 determining the most frequently occurring items in a sequence

006 Python Cookbook 01-09 Finding Common

#/usr/bin/env python

# http://chimera.labs.oreilly.com/books/1230000000393/ch01.html#_finding_commonalities_in_two_dictionaries

006 Python Cookbook 01-04 Finding the Largest N

#!/usr/bin/env python

# http://chimera.labs.oreilly.com/books/1230000000393/ch01.html#findingthelargestorsmallest
# Finding the Largest or Smallest N Items

006 Python Cookbook 01-03 Last N Items

#!/usr/bin/env python

# http://chimera.labs.oreilly.com/books/1230000000393/ch01.html#_keeping_the_last_n_items

# Keeping the Last N Items

006 Python Cookbook 01-01 Unpacking a Sequence

#!/usr/bin/env python


# http://chimera.labs.oreilly.com/books/1230000000393/ch01.html#iterableunpack

# Unpacking a Sequence into Separate Variables

005 整數陣列搜尋大法 (參考解)

　　回應的人太多了，就如同我當年的仰慕者可以從總統府排隊排到西門町那樣的多，篇幅有限，以下僅列出前四大回應

1. 拼錯字：WARM，WARN傻傻分不清
2. 沒寫註解
3. Code很臭，斷行縮排不照規矩
4. 變數命名不依照團隊編碼規範

科科，Code Review這樣就結束了？所以，你也滿意了嗎？真有那麼簡單，我還需要特別寫一篇網誌來屁嗎？

005 整數陣列搜尋大法 (找碴篇)

大家來找碴之 Code Review 好好玩

　　試想一個情境，同事A被要求撰寫一個小模組，規格如下

在一個整數陣列中搜尋特定整數；
若尋得，返回該值位於陣列中的位移值；
若無得，返回-1

　　因此，同事A花了幾分鐘，寫出了以下這幾段程式碼，並且很貼心的提供兩種search實作方式，給一般人使用的while 版本 (binarySearch_int) 或給神人使用的 recursive 版本  (binarySearch_int_R)．

　　現在問題來了，本團隊有採用 Code Review + Code Inspection 的習慣；現在請模擬你正處在會議室中，你是否有能力透過人腦編譯器你的專業能力，找出程式碼中可能有的問題或給予其他實質的建議？