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Q:

taking screenshot using gevent

i am building a GUI application in gevent. but i am not able to take the screenshot in gevent. below is the snippet of code that i have used.
class Func:
def __init__(self,para):
self.para = para

def __call__(self,):
self.para(‘gevent)’)
current_proc = threading.current_thread().name
TEST_SCREENSHOT(‘/home/fdg/Desktop/’+current_proc+’.png’,self.para)
print (‘screenshot taken to filename: %s.png’ % self.para)

A:

Use subprocess module and invoke pygame.pygame.display.set_mode().
The subprocess module’s run function uses os.system with that argument, but it will not work in gevent event loop.
You should use gevent threads instead of subprocess.
There is a ticket on that on gevent github.

Q:

Is it possible to export VBA code to PDF?

I’ve been working with a client to automate some tasks in Excel 2010 that the client is wanting to automate in C#. They’re looking for a way to export/copy their Excel workbooks and convert that into PDF with VBA.
I had thought of:

Using the Save As… option in VBA to copy and past some ranges/cells in the VBA code, before closing

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WizardryThis post originally appeared on LinkedIn.

Note: Some of these numbers may seem curious. The reason is that I am mixing up three different types of statistics:

Average time to move to a new company (or a new job)

Mean time to hire for a new job (or a new company)

Mean time to fire someone from a new job (or a new company)

The second type is of course the most practical one to measure, and for this I started by looking at the latest stats for the New York City area (a really large market so I looked up every city in the metro area), as reported by the U.S. Bureau of Labor Statistics. (See: www.bls.gov/webapps/legacy/ces2.htm for more info.)

The table below shows:

Average time to move from one job to another (on average)

Number of hires and layoffs in the NYC market in a given year

Average time to hire for a new job (on average)

Average time to fire someone from a new job (on average)

Since the data is time-series (including non-zero values as the previous years) I tried to do some statistical analysis before deciding which one to post. I did it like this:

Each year is a sample. I let a sample of the population of NYC business people (that is, the companies that hire and fire) to observe the behavior of the population of NYC business people over a span of time.

For each year I have a sample of companies, that hires and fires employees, and I have a sample of people. We can assume that, if we get a

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