Wednesday, November 5, 2014

How to interrupt Ipython Kernel in Spyder IDE (Anaconda)


In Spyder IDE, the usual interrupt 'Ctrl-C' does not work if you are running your script on an IPython Console. This is because multiple of these consoles are linked to a single kernel. In fact, this message is displayed on the kernel itself :

NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.

To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.

Read more about this, here.


A quick work-around this is to tweak some settings in Spyder:

Go to Run -> Configure. Select Execute in a new dedicated Python console. Check Interact with the Python console after execution.

Now when you run a script, the Interrupt button on the right top of the console should stop the script.

Monday, October 20, 2014

When to use ArrayLists and not LinkedLists in Java

Disclaimer: Posted for my convenience. Referred from here

LinkedList and ArrayList are two different implementations of the List interface. LinkedList implements it with a doubly-linked list. ArrayList implements it with a dynamically resizing array.

As with standard linked list and array operations, the various methods will have different algorithmic runtimes.

For LinkedList<E>
  • get(int index) is O(n)
  • add(E element) is O(1)
  • add(int index, E element) is O(n)
  • remove(int index) is O(n)
  • Iterator.remove() is O(1) <--- main benefit of LinkedList<E>
  • ListIterator.add(E element) is O(1) <--- main benefit of LinkedList<E>

For ArrayList<E>
  • get(int index) is O(1) <--- main benefit of ArrayList<E>
  • add(E element) is O(1) amortized, but O(n) worst-case since the array must be resized and copied
  • add(int index, E element) is O(n - index) amortized, but O(n) worst-case (as above)
  • remove(int index) is O(n - index) (i.e. removing last is O(1))
  • Iterator.remove() is O(n - index)
  • ListIterator.add(E element) is O(n - index)

LinkedList<E> allows for constant-time insertions or removals using iterators, but only sequential access of elements. In other words, you can walk the list forwards or backwards, but finding a position in the list takes time proportional to the size of the list.

ArrayList<E>, on the other hand, allow fast random read access, so you can grab any element in constant time. But adding or removing from anywhere but the end requires shifting all the latter elements over, either to make an opening or fill the gap. Also, if you add more elements than the capacity of the underlying array, a new array (1.5 times the size) is allocated, and the old array is copied to the new one, so adding to an ArrayList is O(n) in the worst case but constant on average.

So depending on the operations you intend to do, you should choose the implementations accordingly. Iterating over either kind of List is practically equally cheap. (Iterating over an ArrayList is technically faster, but unless you're doing something really performance-sensitive, you shouldn't worry about this -- they're both constants.)

The main benefits of using a LinkedList arise when you re-use existing iterators to insert and remove elements. These operations can then be done in O(1) by changing the list locally only. In an array list, the remainder of the array needs to be moved (i.e. copied). On the other side, seeking in a LinkedList means following the links in O(n), whereas in an ArrayList the desired position can be computed mathematically and accessed in O(1).

Also, if you have large lists, keep in mind that memory usage is also different. Each element of a LinkedList has more overhead since pointers to the next and previous elements are also stored. ArrayLists don't have this overhead. However, ArrayLists take up as much memory as is allocated for the capacity, regardless of whether elements have actually been added.

The default initial capacity of an ArrayList is pretty small (10 from Java 1.4 - 1.7). But since the underlying implementation is an array, the array must be resized if you add a lot of elements. To avoid the high cost of resizing when you know you're going to add a lot of elements, construct the ArrayList with a higher initial capacity.

It's worth noting that Vector also implements the List interface and is almost identical to ArrayList. The difference is that Vector is synchronized, so it is thread-safe. Because of this, it is also slightly slower than ArrayList. So as far as I understand, most Java programmers avoid Vector in favor of ArrayList since they will probably synchronize explicitly anyway if they care about that.

Sunday, October 12, 2014

Enable USB Debugging on Moto G

First to turn on the Developer Mode,
Settings => About Phone => Tap "BUILD NUMBER" 7 times

Next, to enable USB Debugging,

Settings => Developer Options => USB Debugging

Thursday, October 9, 2014

Useful IPython Notebook Shortcuts

Command Mode Shortcuts

enter: edit mode
shift+enter: run cell
ctrl+enter: run cell, select below
alt+enter: run cell, insert below
y: to code
m: to markdown
t: to raw
1: to heading 1
2: to heading 2
3: to heading 3
4: to heading 4
5: to heading 5
6: to heading 6
up: select previous cell
down: select next cell
k: select previous cell
j: select next cell
ctrl+k: move cell up

Edit Mode Shortcuts
esc: command mode
ctrl+m: command mode
shift+enter: run cell
ctrl+enter: run cell, select below
alt+enter: run cell, insert below
alt+-: split cell
meta+s: save notebook
ctrl+s: save notebook


ctrl+j: move cell down
a: insert cell above
b: insert cell below
x: cut cell
c: copy cell
v: paste cell below
z: undo last delete
d: delete cell (press twice)
shift+m: merge cell below
s: save notebook
meta+s: save notebook
ctrl+s: save notebook
l: toggle line numbers
o: toggle output
shift+o: toggle output
h: keyboard shortcuts
i: interrupt kernel
.: restart kerne