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Python Requests - No connection adapters
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How to move a file?
I looked into the Python os interface, but was unable to locate a method to move a file. How would I do the equivalent of $ mv ... in Python?
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Revert the `--no-site-packages` option with virtualenv
...tual environment.
Where venv is the name of your virtual environment, and python3.4 corresponds to whichever version of python involved, for example:
$ rm venv/lib/python3.4/no-global-site-packages.txt
And if you change your mind and want to put it back:
$ touch venv/lib/python3.4/no-global-sit...
C语言结构体里的成员数组和指针 - C/C++ - 清泛网 - 专注C/C++及内核技术
...。后面代码里的 this_length（长度是10）代表是我想分配的数据的长度。（这看上去是不是像一个C++的类？）这种玩法英文叫：Flexible Array，中文翻译叫：柔性数组。
我们来用gdb看一下：
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Quick easy way to migrate SQLite3 to MySQL? [closed]
...c database differences away for you. e.g. you get these in PHP (RedBean), Python (Django's ORM layer, Storm, SqlAlchemy), Ruby on Rails (ActiveRecord), Cocoa (CoreData)
i.e. you could do this:
Load data from source database using the ORM class.
Store data in memory or serialize to disk.
Store da...
Measuring elapsed time with the Time module
With the Time module in python is it possible to measure elapsed time? If so, how do I do that?
10 Answers
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Rolling or sliding window iterator?
...(aka sliding window) iterable over a sequence/iterator/generator. Default Python iteration can be considered a special case, where the window length is 1. I'm currently using the following code. Does anyone have a more Pythonic, less verbose, or more efficient method for doing this?
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Python - Passing a function into another function
I am solving a puzzle using python and depending on which puzzle I am solving I will have to use a special set of rules. How can I pass a function into another function in Python?
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How can I check if a key exists in a dictionary? [duplicate]
...in array:
# do something
Associative arrays are called dictionaries in Python and you can learn more about them in the stdtypes documentation.
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Why is printing to stdout so slow? Can it be sped up?
...ng. :-)
The disk appears to be faster, because it is highly buffered: all Python's write() calls are returning before anything is actually written to physical disk. (The OS does this later, combining many thousands of individual writes into a big, efficient chunks.)
The terminal, on the other hand...