中秋過去，難得的一連四天假期，過去了。
今年中秋小店還是決定推出月餅。起初我這助手是並不支持，在今年市道和準備時間不多的情形下，還要研究用新產品推中秋市場的。倆人商量之後，折衷之下，是抱著保留市場上的存在感，在不求銷量的情況進行今次中秋企劃。前期主力由太太店長設計款式口味，在她的嘗試完成後，中秋前那一星期的時間就是不斷工作的時侯，連帶我這個助手也一直幫手準備月餅、包裝、送貨。
從去年做焗的水果酥月餅，到今年的冰皮水果餡月餅。其實用現成材料的話，冰皮比以往焗的更簡單，因為本身全是熟的材料準備好後就是包餡壓模就完成，但冰皮月飯要準備怎樣存放和運送方面就很考心機了。縱然如此，當做起首批KOL單的時侯已經發現要提早截單，但之後每次準備起貨的那天仍是最忙碌的日子，同樣做到懷疑人生。
Someone to hold you too close,
Someone to hurt you too deep,
Someone to sit in your chair,
To ruin your sleep.
PAUL: That's true, but there's more to it than that.
SARAH: Is that all you think there is to it?
HARRY: You've got so many reasons for not being with someone, but Robert, you haven't got one good reason for being alone.
LARRY: Come on, you're on to something, Bobby. You're on to something.
Someone to need you too much,
Someone to know you too well,
Someone to pull you up short
And put you through hell.
DAVID: You see what you look for, you know.
JOANNE: You're not a kid anymore, Robby. I don't think you'll ever be a kid again, kiddo.
PETER: Hey, buddy, don't be afraid it won't be perfect. The only thing
to be afraid of really is that it won't be.
JENNY: Don't stop now. Keep going.
Someone you have to let in,
Someone whose feelings you spare,
Someone who like it or not,
Will want you to share
A little, a lot.
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| < The Gardener and the Carpenter > － "What the new science of child development tells us about the relationship between parents and children" |
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| 專制型(authoritarian)、權威型(authoritative) 疏離型(uninvolved)、放任型(permissive) |
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| 為斜度大的路段加上石梯級 |
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| 修復前後的對比，將沖蝕溝回填成土木階梯 |
The last of the human freedom is to choose one's attitudes. - Viktor Franki
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| 初段平路為主，可見火山地質的土壤 |
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| 北富士演習場、山中湖 |
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| 願意往內地生活的比例在2018年都有上升 |
Sub IEautoprint
Dim shellWins As ShellWindows
Dim myIE As InternetExplorer
Set shellWins = New ShellWindows
Set mySheet = ThisWorkbook.Sheets("SecuritySheet")
Set myIE = CreateObject("InternetExplorer.Application")
StartRow = 2
MaxRow = 65536
'打開網址
myIE.Navigate "http://website.com/fullpath"
Application.Wait (Now + Time("0:00:01"))
' Optional - 以 Title 標題去選擇視窗
If shellWins.Count > 0 Then
For i = shellWins.Count - 1 to 0 Step -1
If (shellWins.Item(i).LocationName = "Window Title") Then
Set myIE = shellWins.Item(i)
myIE.Visible = True
Exit For
End If
Next
End If
' Loop Excel mySheet 中的 Input, 重覆：遞交HTML表單、改變頁面顯示、列印 等動作 'Html 表單中的元素
myIE.Document.Form(0).Submit 'Html 表單的' 等待特定的時間讓檔案建立
Do While .Busy Or .ReadyState <> 4
Loop
' 新一格沒有內容時完結 => Done~!!
If mySheet.Cells(x+1, 1).Value = "" Then
GoTo LastLine
End If
Next' 完結時的處理LineDone:
MsgBox "Done"
Set shellWins = Nothing
Set myIE = Nothing
End Sub
import networkx as nx import numpy as np import pandas as pd %matplotlib notebook G1 = nx.Graph() G1.add_edges_from([('A', 'B'), ('A', 'C'), ('A', 'D'), ('A', 'E'), ('B', 'D'), ('B', 'E'), ('D', 'E'), ('C', 'F'), ('C', 'K'), ('F', 'H'), ('F', 'K'), ('F', 'J'), ('J', 'K')]) G2 = nx.read_edgelist('G_self_edgelist.txt', delimiter=',', data=[('Weight', int)]) G_df = pd.read_csv('G_self_edgelist.txt',delimiter=','header=None, names=['n1', 'n2', 'weight']) G3 = nx.from_pandas_dataframe(G_df, 'n1', 'n2', edge_attr='weight') nx.info(G) G.nodes(data=True) G.edges(data=True) nx.draw_networkx(G),
nx.average_clustering(G)
nx.transitivity(G)
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| 《山林道》－「當初說這裡有天 會由樹變成路 一醒覺經已殺出這條路.... 我只盼這裡有天 變回樹 撤回路 疏忽了趕快去補趁還未老... 」 |
### Regular expression import re text = '@UN @UN_Women "Ethics are built right into the ideals and objectives of the United Nations" \ UNSG @NY @NY_Society for Ethical Culture bit.ly/2guVelr' # 字串 text_list = text.split(' ')# 分拆字串[w for w in text_list if re.search('@[A-Za-z0-9_]+', w)]# Dataframe 的字串處理 time_sentences = ["Monday: The doctor's appointment is at 2:45pm.", "Tuesday: The dentist's appointment is at 11:30 am.", "Wednesday: At 7:00pm, there is a basketball game!", "Thursday: Be back home by 11:15 pm at the latest.", "Friday: Take the train at 08:10 am, arrive at 09:00am."] df = pd.DataFrame(time_sentences, columns=['text'])# 查找吻合的patterndf['text'].str.split().str.len() # find the number of tokens for each string in df['text'] df['text'].str.findall(r'(\d?\d):(\d\d)') # group and find the hours and minutes df['text'].str.replace(r'\w+day\b', '???') # replace weekdays with '???' df['text'].str.extractall(r'((\d?\d):(\d\d) ?([ap]m))') # extract the entire time, the hours, the minutes, and the perio