Time extractingpackages complete

����zlib-1.2.7�����������������|����������������1���hard-link

Proceed�([y]/n)?

$�source�activate�py33test
discarding�/Library/anaconda/bin�from�PATH
prepending�/Library/anaconda/envs/py33test/bin�to�PATH
(py33test)$�python
Python�3.3.4�|Anaconda�1.9.2�(x86_64)|�(default,�Feb�10�2014,�17:56:29) [GCC�4.0.1�(Apple�Inc.�build�5493)]�on�darwin
Type�“help”,�“copyright”,�“credits”�or�“license”�for�more�information.

>>>�print�“Hello�Python�3.3”��#�this�shouldn’t�work�with�Python�3.3��File�“<stdin>”,�line�1
����print�“Hello�Python�3.3”��#�this�shouldn’t�work�with�Python�3.3���������������������������^
SyntaxError:�invalid�syntax
>>>�print�(“Hello�Python�3.3”)��#�this�syntax�should�work
Hello�Python�3.3
>>>�exit()
$

$�conda�install�scipy

or�for�a�specific�environment,�as�in:

dependencies�for�which�no�current�version�is�installed.�For�our�newly�created environment,�the�updating�would�take�the�form:

$�conda�update�-n�py33test�pandas

Since�the�removal�is�a�somewhat�“final”�operation,�you�might�want�to�dry�run�the command:

$�conda�remove�—dry-run�-n�py33test�scipy

The�package�manager�conda�makes�Python�deployment�quite�convenient.�Apart�from�the basic�functionalities�illustrated�in�this�section,�there�are�also�a�number�of�more�advanced features�available.�Detailed�documentation�is�found�at�.

Python�Quant�Platform

When�it�comes�to�complex,�compute-�and�memory-intensive�analytics�tasks,�a�local computer�might�not�be�able�to�perform�such�tasks;�the�use�of�(multiple)�shared servers�with�multiple�cores,�larger�memories,�and�maybe�GPGPUs�makes�such�tasks possible�and�more�efficient.

Collaboration