python-3.7

I have test program below - I compiled the code with pyinstaller (Python ver 3.7b. windows 10 - 64bit) noticed warnings during compilations and error. I would appreciate any insight to resolving this issue. Test.py import encodings print('Test') Sample of Compilations Warning 102 INFO: PyInstaller: 3.3.1 102 INFO: Python: 3.7.0b1 104 INFO: Platform: Windows-10-10.0.14393-SP0 2771 WARNING: lib not found: api-ms-win-crt-math-l1-1-0.dll dependency of c:\apps\python\python37\python.exe 2801 WARNING: lib not found: api-ms-win-crt-stdio-l1-1-0.dll dependency of c:\apps\python\python37\python.exe

This question already has an answer here: Can existing virtualenv be upgraded gracefully? 4 answers I have created a virtual environment using python 3.6, then I've made a system upgrade and I've got python 3.7 installed system wide. Now I can't execute python files in that virtual environment because it's searching for python 3.6. How can I upgrade the virtualenv python version to match the system wide version or how to downgrade the python version for that particular virtual environment? I'm using manjaro. See this link which explains it well. Virtualenvwrapper comes with some convenient

Now that the insertion order of Python dictionaries is guaranteed starting in Python 3.7 (and in CPython 3.6 ), what is the best/fastest way to sort a dictionary - both by value and by key? The most obvious way to do it is probably this: by_key = {k: dct[k] for k in sorted(dct.keys())} by_value = {k: dct[k] for k in sorted(dct.keys(), key=dct.__getitem__)} Are there alternative, faster ways to do this? Note that this question is not a duplicate since previous questions about how to sort a dictionary are out of date (to which the answer was, basically, You can't; use a collections.OrderedDict

Python 3.7 alpha version is out, but I haven't been able to find any post on how to update to python 3.7 using Anaconda - maybe they will wait for the official release? Any suggestions? Python 3.7 is now available to be installed, but many packages have not been updated yet. As noted by another answer here , there is a GitHub issue tracking the progress of Anaconda building all the updated packages. Until someone creates a conda package for Python 3.7, you can't install it. Unfortunately, something like 3500 packages show up in a search for "python" on Anaconda.org ( https://anaconda.org

I have been trying for a while now to add an 'owner' field to my models. I have looked at other questions but I still have had no luck. Ideally when a new note is created, the current user will be set in the owner field and won't be changeable. Below is my model, serializer, and view for a Note as far as I have gotten. I'm guessing the CurrentUserDefault() function needs additional context but I can't set it properly. views.py class NoteListCreateView(ListCreateAPIView): authentication_classes = (SessionAuthentication, TokenAuthentication) permission_classes = (DjangoModelPermissions,) lookup

With PEP 557 data classes are introduced into python standard library. They make use of the @dataclass decorator and they are supposed to be "mutable namedtuples with default" but I'm not really sure I understand what this actually means and how they are different from common classes. What exactly are python data classes and when is it best to use them? Data classes are just regular classes that are geared towards storing state, more than contain a lot of logic. Every time you create a class that mostly consists of attributes you made a data class. What the dataclasses module does is make it