StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
19025207
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
2
CommunityOwnedDate
CreationDate
2013-09-26T10:03:41.530
FavoriteCount
0
LastActivityDate
2014-01-18T03:09:24.890
LastEditDate
2014-01-18T03:09:24.890
LastEditorUserId
30900
OwnerUserId
524283
ParentId
18931049
PostTypeId
2
Score
36
ViewCount
0
LastEditorDisplayName
text
Body
I'm still coming to terms with the Python ecosystem and PyCharm, so take the following with a grain of salt, but after <a href="http://mirnazim.org/writings/python-ecosystem-introduction/" rel="noreferrer">reading up a bit</a>, I thought I'd write a detailed explanation. During installation, Anaconda changes the default Python interpreter to ~/anaconda/bin/python. This interpreter is configured with a <code>sys.path</code> that defaults to the libraries in ~/anaconda/lib . Package managers like python's pip use the interpreter that's running them to determine the path in which to install packages, so after Anaconda is installed, all packages installed via pip or other methods will be placed somewhere inside ~/anaconda/lib. i.e. even without using something like virtualenv, every Python interpreter has its own ecosystem and running pip with different interpreters will install packages into different directories. PyCharm handles all this in the <code>Project Settings-->Project Interpreter-->Python Interpreters</code> screen. To make PyCharm aware of the Anaconda distribution, you need to add the Anaconda python interpreter to the <code>Project Interpreter-->Python Interpreters</code> list and make it the default for the project. PyCharm will then locate all packages installed in Anaconda's interpreter ecosystem (~/anaconda/lib) and list them under <code>packages</code> in the lower pane. It will also prompt you to install setup_tools and pip for that interpreter, and once you do that you'll be able to use the <code>install</code> button in the lower pane to add more packages to the Anaconda ecosystem. Once you've added the Anaconda interpreter, you can also use the virtualenv button from the toolbar on the upper pane to create a virtualenv that inherits from the Anaconda interpreter's environment. That way you can install new packages in a way that would not affect the global Anaconda distribution. 
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. POGetting PyCharm to recognize Anaconda's SciPy
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. USJoe
UserOwnerUserId
1. UShillel
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. POGetting PyCharm to recognize Anaconda's SciPy
 singulars
 PostTypePostTypeId
 PTQuestion
PostsParentIdCreationDate
1. This table or related slice is empty.
VotesPostIdCreationDate
1. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTAcceptedByOriginator
2. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
3. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
CommentsPostId
1. This table or related slice is empty.

Querying!

Guidance

A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.