dependencies for which no current version is installed. For our newly created
environment, the updating would take the form:
$ conda update -n py33test pandas
Finally, conda makes it easy to remove packages with the remove command from the main
installation or a specific environment. The basic usage is:
$ conda remove scipy
For an environment it is:
$ conda remove -n py33test scipy
Since the removal is a somewhat “final” operation, you might want to dry run the
command:
$ conda remove —dry-run -n py33test scipy
If you are sure, you can go ahead with the actual removal. To get back to the original
Python and Anaconda version, deactivate the environment:
$ source deactivate
Finally, we can clean up the whole environment by use of remove with the option —all:
$ conda remove —all -n py33test
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
Python Quant Platform
There are a number of reasons why one might like to deploy Python via a web browser.
Among them are:
No need for installation
Local installations of a complete Python environment might be both complex (e.g., in
a large organization with many computers), and costly to support and maintain;
making Python available via a web browser makes deployment much more efficient
in certain scenarios.
Use of (better) remote hardware
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
Working, for example, with a team on a single or multiple servers makes
collaboration simpler and also increases efficiency: data is not moved to every local
machine, nor, after the analytics tasks are finished, are the results moved back to
some central storage unit and/or distributed among the team members.
The Python Quant Platform is a web- and browser-based financial analytics and
collaboration platform developed and maintained by The Python Quants GmbH. You can
