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python setup.py uninstall
...eworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/my_module-0.1.egg/ on macOS. It has no files, but Python will still import an empty module:
>>> import my_module
>>> my_module.__file__
None
Once deleted, Python shows:
>>> import my_module
Traceback (mos...
Win32 创建控件风格不是Win XP的解决方案 - C/C++ - 清泛网 - 专注C/C++及内核技术
...teWindowEx创建出来的控件的风格不像XP风格，而是像Windows 2000...有时候我有在用Win32 API来向窗体上添加控件时，通过CreateWindow或CreateWindowEx创建出来的控件的风格不像XP风格，而是像Windows 2000的风格，界面很难看。注意，是动态调...
Java: random long number in 0
...
Starting from Java 7 (or Android API Level 21 = 5.0+) you could directly use ThreadLocalRandom.current().nextLong(n) (for 0 ≤ x < n) and ThreadLocalRandom.current().nextLong(m, n) (for m ≤ x < n). See @Alex's answer for detail.
If you are stuck with Java 6 (or A...
Adding 'serial' to existing column in Postgres
I have a small table (~30 rows) in my Postgres 9.0 database with an integer ID field (the primary key) which currently contains unique sequential integers starting at 1, but which was not created using the 'serial' keyword.
...
How exactly does the python any() function work?
... that lst is the iterable, which is a list of some items. If it contained [0, False, '', 0.0, [], {}, None] (which all have boolean values of False) then any(lst) would be False. If lst also contained any of the following [-1, True, "X", 0.00001] (all of which evaluate to True) then any(lst) would b...
Git diff against a stash
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answered Oct 6 '11 at 16:50
AmberAmber
421k7070 gold badges575575 silver badges516516 bronze badges
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VC DDE（Dynamic Data Exchange）与EXCEL连接 - C/C++ - 清泛网 - 专注C/C++及内核技术
...的通信方案。花了半天时间研究了下，做了个案例，VC6.0下调试通过，很开心。作为一个产品经理，为产品设计搭建好平台，有人的平台，有技术平台，一切目标为了高效的做好产品。
该C++控制台程序案例如下：
// smdata.cpp : ...
How do I use vim registers?
... D. Ben Knoble
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answered Sep 30 '09 at 13:12
FModa3FModa3
12.7k11 gold badge...
Making heatmap from pandas DataFrame
...5, 4)), index=index, columns=columns)
plt.pcolor(df)
plt.yticks(np.arange(0.5, len(df.index), 1), df.index)
plt.xticks(np.arange(0.5, len(df.columns), 1), df.columns)
plt.show()
This gives:
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