Python for Finance: Analyze Big Financial Data

conda allows one to search for libraries and packages, both locally and in available online

repositories:

$   conda   search  pytables

Fetching    package metadata:   ..

pytables                                                                        .       2.4.0                                                               np17py27_0      defaults

                                                                                                                    2.4.0                                                               np17py26_0      defaults

                                                                                                                    2.4.0                                                               np16py27_0      defaults

                                                                                                                    2.4.0                                                               np16py26_0      defaults

                                                                                                    .       3.0.0                                                               np17py27_0      defaults

                                                                                                                3.0.0                                                               np17py26_0      defaults

                                                                                                                3.0.0                                                               np16py27_0      defaults

                                                                                                                3.0.0                                                               np16py26_0      defaults

                                                                                                    .       3.0.0                                                               np17py33_1      defaults

                                                                                                    .       3.0.0                                                               np17py27_1      defaults

                                                                                                                3.0.0                                                               np17py26_1      defaults

                                                                                                    .       3.0.0                                                               np16py27_1      defaults

                                                                                                                3.0.0                                                               np16py26_1      defaults

                                                                                                                3.1.0                                                               np18py33_0      defaults

                                                                                                    *       3.1.0                                                               np18py27_0      defaults

                                                                                                                3.1.0                                                               np18py26_0      defaults

                                                                                                                3.1.1                                                               np18py34_0      defaults

                                                                                                                3.1.1                                                               np18py33_0      defaults

                                                                                                                3.1.1                                                               np18py27_0      defaults

                                                                                                                3.1.1                                                               np18py26_0      defaults

The results contain those versions of PyTables that are available for download and

installation in this case and that are installed (indicated by the asterisk). Similary, the list

command gives all locally installed packages that match a certain pattern. The following

lists all packages that start with “pyt”:

$   conda   list    ^pyt

#   packages    in  environment at  /Library/anaconda:

#

pytables                                                                        3.1.0                                                               np18py27_0

pytest                                                                              2.5.2                                                                               py27_0

python                                                                              2.7.6                                                                                                   1

python-dateutil                                         1.5                                                                                         <pip>

python.app                                                              1.2                                                                                     py27_1

pytz                                                                                        2014.2                                                                          py27_0

More complex patterns, based on regular expressions, are also possible. For example:

$   conda   list    ^p.*les$

#   packages    in  environment at  /Library/anaconda:

#

pytables                                                                        3.1.0                                                               np18py27_0

$

Suppose we want to have Python 3.x available in addition to the 2.7.x version. The

package manager conda allows the creation of an environment in which to accomplish this

goal. The following output shows how this works in principle:

$   conda   create  -n  py33test    anaconda=1.9    python=3.3  numpy=1.8

Fetching    package metadata:   ..

Solving package specifications: .

Package plan    for installation    in  environment /Library/anaconda/envs/py33test:

The following   packages    will    be  downloaded:

                package                                                                             |                                               build

                –––––––––|–––––—

                anaconda-1.9.2                                                  |                           np18py33_0                                          2   KB

                ...

                xlsxwriter-0.5.2                                            |                                           py33_0                                  168 KB

The following   packages    will    be  linked:

                package                                                                             |                                               build

                –––––––––|–––––—

                anaconda-1.9.2                                                  |                           np18py33_0          hard-link

                ...