| Complexity of Python Operations | |
| In this lecture we will learn the complexity classes of various operations on | |
| Python data types. Then we wil learn how to combine these complexity classes to | |
| compute the complexity class of all the code in a function, and therefore the | |
| complexity class of the function. This is called "static" analysis, because we | |
| do not need to run any code to perform it. | |
| ------------------------------------------------------------------------------ |
| <Response> | |
| <Gather input="speech" | |
| action="http://0a485498.ngrok.io/" | |
| partialResultCallback="http://0a485498.ngrok.io/"> | |
| <Say>Say ahoy to Twilio Speech Recognition!</Say> | |
| </Gather> | |
| </Response> |
| class Node : | |
| def __init__( self, data ) : | |
| self.data = data | |
| self.next = None | |
| self.prev = None | |
| class LinkedList : | |
| def __init__( self ) : | |
| self.head = None |
I wanted to be really able to explain to a fair amount of detail how does the program :command:`ls` actually work right from the moment you type the command name and hit ENTER. What goes on in user space and and in kernel space? This is my attempt and what I have learned so far on Linux (Fedora 19, 3.x kernel).
How does the shell find the location of 'ls' ?
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000