Environment variables are accessed through os.environ
import os
print(os.environ['HOME'])
Or you can see a list of all the environment variables using:
os.environ
As sometimes you might need to see a complete list!
# using get will return `None` if a key is not present rather than raise a `KeyError`
print(os.environ.get('KEY_THAT_MIGHT_EXIST'))
# os.getenv is equivalent, and can also give a default value instead of `None`
print(os.getenv('KEY_THAT_MIGHT_EXIST', default_value))
The Python default installation location on Windows is C:\Python
. If you want to find out while running python you can do:
import sys
print(sys.prefix)
The common approach to get a unique collection of items is to use a set
. Sets are unordered collections of distinct objects. To create a set from any iterable, you can simply pass it to the built-in set()
function. If you later need a real list again, you can similarly pass the set to the list()
function.
The following example should cover whatever you are trying to do:
>>> t = [1, 2, 3, 1, 2, 5, 6, 7, 8]
>>> t
[1, 2, 3, 1, 2, 5, 6, 7, 8]
>>> list(set(t))
[1, 2, 3, 5, 6, 7, 8]
>>> s = [1, 2, 3]
>>> list(set(t) - set(s))
[8, 5, 6, 7]
As you can see from the example result, the original order is not maintained. As mentioned above, sets themselves are unordered collections, so the order is lost. When converting a set back to a list, an arbitrary order is created.
Maintaining order
If order is important to you, then you will have to use a different mechanism. A very common solution for this is to rely on OrderedDict
to keep the order of keys during insertion:
>>> from collections import OrderedDict
>>> list(OrderedDict.fromkeys(t))
[1, 2, 3, 5, 6, 7, 8]
Starting with Python 3.7, the built-in dictionary is guaranteed to maintain the insertion order as well, so you can also use that directly if you are on Python 3.7 or later (or CPython 3.6):
>>> list(dict.fromkeys(t))
[1, 2, 3, 5, 6, 7, 8]
Note that this may have some overhead of creating a dictionary first, and then creating a list from it. If you don’t actually need to preserve the order, you’re often better off using a set, especially because it gives you a lot more operations to work with. Check out this question for more details and alternative ways to preserve the order when removing duplicates.
Finally note that both the set
as well as the OrderedDict
/dict
solutions require your items to be hashable. This usually means that they have to be immutable. If you have to deal with items that are not hashable (e.g. list objects), then you will have to use a slow approach in which you will basically have to compare every item with every other item in a nested loop.
Best Answer
You probably didn't fully deactivate the Conda environment - remember, the command you need to use with Conda is
conda deactivate
(for older versions, usesource deactivate
). So it may be wise to start a new shell and activate the environment in that before you try. Then deactivate it.You can use the command
to remove the environment with that name. (
--name
is equivalent to-n
)Note that you can also place environments anywhere you want using
-p /path/to/env
instead of-n ENV_NAME
when both creating and deleting environments, if you choose. They don't have to live in your conda installation.UPDATE, 30 Jan 2019: From Conda 4.6 onwards the
conda activate
command becomes the new official way to activate an environment across all platforms. The changes are described in this Anaconda blog post