I'd also like to vote for Mondays. Just seems to work out better. Below are the static code analysis tools I mentioned along with a post from John Carmack regarding static code analysis.
Cheers - Mike PyLint: http://www.pylint.org/ PyFlakes: https://launchpad.net/pyflakes John Carmack on static code analysis: http://www.altdevblogaday.com/2011/12/24/static-code-analysis/ On Tue, Jun 18, 2013 at 2:06 PM, Alec Koumjian <[email protected]> wrote: > Just wanted to +1 Mondays. Thursdays are when the Djangonauts have their > awesome hack night. > > > On Tue, Jun 18, 2013 at 2:05 PM, Kevin LaTona <[email protected]>wrote: > >> >> >> Given how good the turn out was at last night's meeting. >> >> Maybe we should consider doing another Monday eve meeting vs Thursday to >> see if that might be a better meeting day. >> >> Just a thought. >> >> -Kevin >> >> >> >> >> On Jun 18, 2013, at 1:53 PM, Jonathan Mark <[email protected]> wrote: >> >> > Thanks for a fun meeting yesterday... here are some notes on what was >> discussed: >> > >> > In attendance: >> > >> > John >> > Maria >> > Brian >> > Rohit >> > Brian >> > Miles >> > Jimmy >> > Alex >> > Derek >> > Toby >> > Mike >> > David >> > Kevin >> > Jonathan >> > >> > Python Day mini-conference discussion >> > Toward the end of september? >> > ~100 - 120 people >> > 1 track? Or basic tutorial vs. expert tracks? >> > Last time, it was allegedly community organized but Mike Orr ended up >> > doing most of everything >> > Toby will connect with the last Python Day's organizers. >> > A sheet was passed for people to give Toby their contact info if they >> might be willing to volunteer for some task. >> > >> > ideas: >> > subcommunities: >> > introductory >> > web programmers >> > scientific >> > pygame >> > what should these communities be learning from each other? >> > >> > David - has been taking (and highly recommends): >> > coursera: "Interactive Programming with Gaming" course with Python - via >> > Rice University >> > uses codesculptor.org >> > uses SimpleGUI library >> > looking for opportunities to join a team of some kind >> > >> > comments on Python books: >> > Python Essential Reference - good as reference but not good as tutorial >> > covers py2 vs. py3 issues >> > gives general advice >> > "Python in a Nutshell" is good >> > >> > LXML is a good XML library to use >> > >> > Resource for learning numpy? >> > There is a clone of StackOverflow which is specific to scipy and numpy >> > (I have not been able to find this link) >> > >> > Brian Dorsey suggests looking at iPython Notebook >> > interactive Matlab style notebook with graphing >> > understands shell commands >> > >> > LightTable is the kickstarter project for a cool on-the-fly programming >> > environment >> > >> > the perennial question: which IDE? >> > Comodo Edit - has student discount for coursera classes >> > VIM >> > Sublime Text >> > Eclipse - is fine but hard to set up pydev on windows >> > Pycharm was recommended. >> > >> > Discussion of Logging vs. Debugging >> > especially for web programming, a good log setup is crucial >> > There are times for debugging too >> > Sentry is a useful logging module for Django with pretty UI >> > >> > Another possible topic for Python Day: Profiling & performance >> measurements >> > >> > Static code analysis is helpful too - pylint or pyflakes >> > VIM plugin called "flake8" runs Pyflakes and the PEP8 style checker >> > >> > tool innovation: >> > >> > Maria's article on how to set up email server: >> > http://www.mariakathryn.net/Blog/57 >> > looking for comments on "Python on Mac OS" article >> > >> > Do video of python day?? >> > Sprint on Sunday after the conference? Office Nomads could be a good >> location for this >> > >> > Rohit's project that could be sprintable: online interactive game of >> > programming bots - web based with django for account mgmt >> > >> > pyparsing is a good alternative to regex parsing >> > >> > RegexPal is a good tool for debugging regexps >> > http://regexpal.com/ >> > >> > how to do a pxe boot >> > A: try onesis >> > >> > how to parse twitter for TV show references? use a db or not? >> > recommendation to use mongodb for the database >> > >> > Python Twitter analytics tool: http://glowingpython.blogspot.com/ >> > >> > >> >> >
