### How fast a card should I get for my dSLR?

I couldn't find a scientific answer to this one. Funnily enough I couldn't even find online how fast the D40 writes out its data. Perhaps its in the manual and I should just look. And what's with all these different speed metrics for SD cards !?

Anyway, here's how I went about it. From yesterday's shoot I have 101 pictures totaling 204.6 MB (Large Fine Jpegs. I ain't no RAWer) = 2Mb/picture

The D40 can shoot bursts of 2.5 frames a second = 5Mb/s. If we are to keep up with that we should have a card that is capable of at least 5Mb/s write speed.

Thanks to wikipedia's page on SD cards, we learn that class 6 SDHC cards write at 6 MB/s and above and the 'x' notation e.g. 40x, 50x means 40x150kB/s.

So we will need a class 6 card doing 5MB/s or more or a 33x card.

Lets see how that works out for an amateur shooting like 10 pictures or so at a go.

### Flowing text in inkscape (Poster making)

You can flow text into arbitrary shapes in inkscape. (From a hint here).

You simply create a text box, type your text into it, create a frame with some drawing tool, select both the text box and the frame (click and shift) and then go to text->flow into frame.

UPDATE:

The omnipresent anonymous asked:
Trying to enter sentence so that text forms the number three...any ideas?
The solution:
Type '3' using the text toolConvert to path using object->pathSize as necessaryRemove fillUngroupType in actual text in new text boxSelect the text and the '3' pathFlow the text

### Pandas panel = collection of tables/data frames aligned by index and column

Pandas panel provides a nice way to collect related data frames together while maintaining correspondence between the index and column values:

import pandas as pd, pylab #Full dimensions of a slice of our panel index = ['1','2','3','4'] #major_index columns = ['a','b','c'] #minor_index df = pd.DataFrame(pylab.randn(4,3),columns=columns,index=index) #A full slice of the panel df2 = pd.DataFrame(pylab.randn(3,2),columns=['a','c'],index=['1','3','4']) #A partial slice df3 = pd.DataFrame(pylab.randn(2,2),columns=['a','b'],index=['2','4']) #Another partial slice df4 = pd.DataFrame(pylab.randn(2,2),columns=['d','e'],index=['5','6']) #Partial slice with a new column and index pn = pd.Panel({'A': df}) pn['B'] = df2 pn['C'] = df3 pn['D'] = df4 for key in pn.items: print pn[key] -> output …

### Drawing circles using matplotlib

Use the pylab.Circle command

import pylab #Imports matplotlib and a host of other useful modules cir1 = pylab.Circle((0,0), radius=0.75, fc='y') #Creates a patch that looks like a circle (fc= face color) cir2 = pylab.Circle((.5,.5), radius=0.25, alpha =.2, fc='b') #Repeat (alpha=.2 means make it very translucent) ax = pylab.axes(aspect=1) #Creates empty axes (aspect=1 means scale things so that circles look like circles) ax.add_patch(cir1) #Grab the current axes, add the patch to it ax.add_patch(cir2) #Repeat pylab.show()