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2

You can redirect standard error to standard output and then use tee to duplicate standard output and store it to a file. $ ./client -p 4242 -n test 2>&1 | tee output.log Edit: you can try out the command by $ ( echo "stdout" ; echo "stderr" 1>&2 ) 2>&1 | tee output.log The two echos produce output on both stdout and stderr. You ...


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You have created a variable, not a command. Simply opening CMD and typing "python" will do nothing because CMD has no idea what you want to do with "python". Supply a command and the environment variable path should work. Example: CD python


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I'm not a user of Python, but one can find a lot of material about this problem. For example, the post Local network pinging in python contains two solutions that I reproduce here (not tested). Solution 1 : Parsing the output of the ping command import subprocess hostname = "10.20.16.30" output = subprocess.Popen(["ping.exe",hostname],stdout = ...


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Since this problem comes from that pip comes with python 3.4 installer, you can simply uncheck the pip install option in the installer and try to install pip manually later.


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Use a port-scanning tool like nmap. When run with sufficient privileges (on Linux the cap_net_raw privilege is necessary, "root" on other Unix systems) the tool has several scan modes that do not involve completing the TCP handshake. The default scan mode when privileged is "TCP SYN scan" (the -sS option), which tries to start a TCP handshake but ...


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this stackoverflow entry probably explains what you are seeing. pixelbeat's suggests you alias sudo to set your environment each time it is called: alias sudo='sudo env PATH=$PATH' That workaround should resolve your issue. Personally, I prefer aliasing python2.7 and pip2.7.


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Looks ok to me. This will work for your small scale CSVs (sub a couple of thousand rows). When I had tp parse huge CSV Files (100k rows +) - I used the Cassava module which out performed the native modules by a long way. Take a look at http://hackage.haskell.org/package/cassava Hope this helps


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Prepare a list of strings where each string corresponds to one recipient, like this: recipients = ['aaa@example.com', 'bbb@example.com'] session.sendmail(sender, recipients, headers + "\r\n\r\n" + body)


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Python-specific module management system (pip) can install modules globally (for all users as root) or in your personal user tree, offers more modules General system-level package management systems (yum, apt-get) only install packages globally offer fewer modules, but, possibly, better system integration (e.g., they will install the C library which ...



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