A "Best of the Best Practices" (BOBP) guide to developing in Python.
- "Build tools for others that you want to be built for you." - Kenneth Reitz
- "Simplicity is alway better than functionality." - Pieter Hintjens
| ### MATPLOTLIBRC FORMAT | |
| # This is a sample matplotlib configuration file - you can find a copy | |
| # of it on your system in | |
| # site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it | |
| # there, please note that it will be overridden in your next install. | |
| # If you want to keep a permanent local copy that will not be | |
| # over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux | |
| # like systems) and C:\Documents and Settings\yourname\.matplotlib | |
| # (win32 systems). |
A lot of these are outright stolen from Edward O'Campo-Gooding's list of questions. I really like his list.
I'm having some trouble paring this down to a manageable list of questions -- I realistically want to know all of these things before starting to work at a company, but it's a lot to ask all at once. My current game plan is to pick 6 before an interview and ask those.
I'd love comments and suggestions about any of these.
I've found questions like "do you have smart people? Can I learn a lot at your company?" to be basically totally useless -- everybody will say "yeah, definitely!" and it's hard to learn anything from them. So I'm trying to make all of these questions pretty concrete -- if a team doesn't have an issue tracker, they don't have an issue tracker.
I'm also mostly not asking about principles, but the way things are -- not "do you think code review is important?", but "Does all code get reviewed?".
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| """PLOT A HEXBIN MAP OF LOCATION | |
| """ | |
| figwidth = 14 | |
| fig = plt.figure(figsize=(figwidth, figwidth*h/w)) | |
| ax = fig.add_subplot(111, axisbg='w', frame_on=False) | |
| # draw neighborhood patches from polygons | |
| df_map['patches'] = df_map['poly'].map(lambda x: PolygonPatch( | |
| x, fc='#555555', ec='#555555', lw=1, alpha=1, zorder=0)) | |
| # plot neighborhoods by adding the PatchCollection to the axes instance |