pytz | pytz Python historical timezone library and database
kandi X-RAY | pytz Summary
kandi X-RAY | pytz Summary
Brings the IANA tz database into Python. This library allows accurate and cross platform timezone calculations. pytz contains generated code, and this branch generates it. The actual pytz code and documentation can be found in the src/ directory.
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Trending Discussions on pytz
QUESTION
I get this Error when I try to install Pyodbc , I have already install visual studio and I have Microsoft Visual C++ 12 , 15-19 in my machine but still its giving this error.
...ANSWER
Answered 2021-Nov-12 at 13:38The current release of pyodbc (4.0.32) does not have pre-built wheel files for Python 3.10. The easiest way to get it installed at the moment is to download the appropriate wheel from
https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyodbc
and then install it. For example, if you are running 64-bit Python then you would download the 64-bit wheel and use
QUESTION
I am trying to run a python async app with an asyncioscheduler scheduled job but the APScheduler fails during build because of this error:
'Only timezones from the pytz library are supported' error
I do include pytz in my app and i am passing the timezone. What is causing the error?
I am calling the asyncioscheduler in a class where i create job manager:
...ANSWER
Answered 2021-Aug-18 at 16:21Ok so it required a dependency tzlocal==2.1 so it could get local timezone, i assume for some reason the version that the module has does not work on my system
QUESTION
I read ton of articles, but still can't figure out what I'm missing. I'm running a django website from virtualenv. Here's my config file. The website address is replaced by , can't use that here.
...Config
ANSWER
Answered 2021-Sep-23 at 15:28The error says that either you haven't got Django installed or didn't activate the virtual environment in which the Django was installed. Make sure that you check the list of installed packages and find Django in there, via:
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I have a local python project called jive
that I would like to use in an another project. My current method of using jive
in other projects is to activate the conda env for the project, then move to my jive
directory and use python setup.py install
. This works fine, and when I use conda list
, I see everything installed in the env including jive
, with a note that jive
was installed using pip.
But what I really want is to do this with full conda. When I want to use jive
in another project, I want to just put jive
in that projects environment.yml
.
So I did the following:
- write a simple
meta.yaml
so I could use conda-build to buildjive
locally - build jive with
conda build .
- I looked at the tarball that was produced and it does indeed contain the
jive
source as expected - In my other project, add jive to the dependencies in
environment.yml
, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list
, it lists all the dependencies including jive
, as desired. But when I open python interpreter, I cannot import jive
, it says there is no such package. (If use python setup.py install
, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive
project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5
is only a valid constraint when doing noarch
builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages
(e.g., lib/python-3.10/site-packages/jive
).
Typically, Python versions are controlled by either the --python
argument given to conda-build
or a matrix supplied by the conda_build_config.yaml
file (see documentation on "Build variants").
Try adjusting the meta.yaml
to something like
QUESTION
I am using MongoDB(Mongo Atlas) in my Django app. All was working fine till yesterday. But today, when I ran the server, it is showing me the following error on console
...ANSWER
Answered 2021-Oct-03 at 05:57This is because of a root CA Let’s Encrypt uses (and Mongo Atals uses Let's Encrypt) has expired on 2020-09-30 - namely the "IdentTrust DST Root CA X3" one.
The fix is to manually install in the Windows certificate store the "ISRG Root X1" and "ISRG Root X2" root certificates, and the "Let’s Encrypt R3" intermediate one - link to their official site - https://letsencrypt.org/certificates/
Copy from the comments: download the .der field from the 1st category, download, double click and follow the wizard to install it.
QUESTION
We are using command prompt c:\gcloud app deploy app.yaml
, but get the following error:
ANSWER
Answered 2022-Jan-06 at 09:24Your setuptools version is likely to be yanked:
https://pypi.org/project/setuptools/60.3.0/
Not sure how to fix that without a working pip though.
QUESTION
I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following:
ANSWER
Answered 2021-Dec-25 at 14:42Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.
Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.
After deleting these requirements re-deploy your app and it will work.
QUESTION
this is my first question on Stackoverflow. I hope my question is clear, otherwise let me know and don't hesitate to ask me more details.
I'm trying to package a streamlit app for a personal project. I'm developing under linux but I have to deploy the app on Windows. I want it to be a standalone executable, which once run opens the browser tab to display the app, and exits when the tab is closed. I would like to use pynsist
library to package the app (already used for another project and it worked fine).
I followed the suggestion found in this discussion. It worked fine on ubuntu, and apparently also on Windows after packaging the app with pynsist. "Apparently" because the executable run, but no browser tab was open to display the app.
Here is some snippets of my code.
Project structure
...ANSWER
Answered 2021-Nov-25 at 09:40EDIT: a streamlit example was added to the examples of pynsist
repo. There you can find a minimal and refined example of a working application (which also includes plotly).
ORIGINAL ANSWER
Finally I get it to work. In my last attempt, I made a mistake by setting --server.headless=false
, while it must be true
instead. I found that an additional flag to the streamlit run command is needed: --global.developmentMode=false
. This make the deploy work, even if I could not find any reference to this configuration in the streamlit configurations.
Working code follows.
Project structure
QUESTION
I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.
...ANSWER
Answered 2021-Nov-19 at 00:16I have solved this problem with
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