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Couldn't install Python module xarray 2022.3.0 on Conda

I got this error :
(base) C:\Users\pkaragiannopoulos>pip install xarray==2022.3.0
Collecting xarray==2022.3.0
ERROR: Could not find a version that satisfies the requirement xarray==2022.3.0 (from versions: 0.7.0, 0.7.1, 0.7.2, 0.8.0rc1, 0.8.0, 0.8.1, 0.8.2, 0.9.0rc1, 0.9.0, 0.9.1, 0.9.2, 0.9.3, 0.9.4, 0.9.5, 0.9.6, 0.10.0rc1, 0.10.0rc2, 0.10.0, 0.10.1, 0.10.2, 0.10.3, 0.10.4, 0.10.5, 0.10.6, 0.10.7, 0.10.8, 0.10.9, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.12.0, 0.12.1, 0.12.2, 0.12.3, 0.13.0, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.18.0, 0.18.1, 0.18.2, 0.19.0, 0.20.0, 0.20.1, 0.20.2)
ERROR: No matching distribution found for xarray==2022.3.0
I need to install that dependency in order to install gempy
I have tried to install the dependency but it didn't work

Conda resolves dependencies, so it should work to just do
conda install -c conda-forge gempy

Cannot upgrade library to specific version on Google Colab (scipy version 1.8.0)

There was a function added to one of the latest versions of Scipy. I want to use this version on a Google Colab notebook but I cannot upgrade Scipy to the version I need.
Here's what I tried based on this post and this other post:
!pip install scipy==1.8.0
ERROR: Could not find a version that satisfies the requirement scipy==1.8.0 (from versions: 0.8.0, 0.9.0, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.13.3, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 1.0.0b1, 1.0.0rc1, 1.0.0rc2, 1.0.0, 1.0.1, 1.1.0rc1, 1.1.0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.4.0rc1, 1.4.0rc2, 1.4.0, 1.4.1, 1.5.0rc1, 1.5.0rc2, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.6.0rc1, 1.6.0rc2, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.7.0rc1, 1.7.0rc2, 1.7.0, 1.7.1, 1.7.2, 1.7.3)
ERROR: No matching distribution found for scipy==1.8.0
According to the scipy documentation, version 1.8.0 was released on February this year. How come I can't upgrade to version 1.8.0 on Google Colab?
I was able to upgrade to this version with a simple pip install scipy --upgrade on my local computer.

Google colab runs on Python 3.7, however SciPy 1.8.0 requires at least Python 3.8
According to https://docs.scipy.org/doc/scipy/release.1.8.0.html,
This release requires Python 3.8+ and NumPy 1.17.3 or greater.

AWS Codeartifact with upstream pypi not fetching latest version

I have a python Codeartifact repository which has an upstream PyPI repo.
In PyPI a new version of a library (google-auth 2.3.1) was published on the 25th of October, but whenever I try to install it via Codeartifact the latest available version is 2.3.0.
Is there a way to tell Codeartifact that the upstream has newer versions? How long does it takes for Codeartifact to pick up updates in PyPI?
This is the only source I found from AWS which states that this can happen but not how to solve it: https://docs.aws.amazon.com/codeartifact/latest/ug/external-connection.html#external-connection-unavailable
Error message:
ERROR: No matching distribution found for google-authpip3 install google-auth==2.3.1
Looking in indexes: https://aws:****#packages-****.d.codeartifact.eu-central-1.amazonaws.com/pypi/common/simple/
ERROR: Could not find a version that satisfies the requirement google-auth==2.3.1 (from versions: 0.0.1, 0.1.0, 0.2.0, 0.3.0, 0.3.1, 0.3.2, 0.4.0, 0.5.0, 0.6.0, 0.7.0, 0.8.0, 0.9.0, 0.10.0, 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.4.2, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.13.0, 1.13.1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.15.0, 1.16.0, 1.16.1, 1.17.0, 1.17.1, 1.17.2, 1.18.0, 1.19.0, 1.19.1, 1.19.2, 1.20.0, 1.20.1, 1.21.0, 1.21.1, 1.21.2, 1.21.3, 1.22.0, 1.22.1, 1.23.0, 1.24.0, 1.25.0, 1.26.0, 1.26.1, 1.27.0, 1.27.1, 1.28.0, 1.28.1, 1.29.0, 1.30.0, 1.30.1, 1.30.2, 1.31.0, 1.32.0, 1.32.1, 1.33.0, 1.33.1, 1.34.0, 1.35.0, 2.0.0.dev0, 2.0.0b1, 2.0.0, 2.0.1, 2.0.2, 2.1.0, 2.2.0, 2.2.1, 2.3.0)

Solution which works for me right now:
create venv if not available python3 -m venv .venv
activate it source .venv/bin/activate
install the package given in the log-statement eg pip install google-authpip3 --no-cache
run poetry again poetry install
if more errors occur, continue with 3)
My assumption is, that the local pip/poetry cache is not up to date. So I force pip to fetch the latest versions

Pip install failure on Pandas?

When I try to install my project from the requirements.txt file, I run pip install -r requirements.txt and it fails on my pandas dependency. I am not exactly sure why does anyone have any advice?
pip version:
pip 20.0.2 from c:\users\name\appdata\local\programs\python\python35\lib\site-packages\pip (python 3.5)
requirements.txt:
numpy==1.18.2
pandas==1.0.3
python-dateutil==2.8.1
pytz==2019.3
six==1.14.0
Error:
ERROR: Could not find a version that satisfies the requirement pandas==1.0.3 (from -r requirements.txt (line 2)) (from versions: 0.1, 0.2b0, 0.2b1, 0.2, 0.3.0b0, 0.3.0b2, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.6.0, 0.6.1, 0.7.0rc1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0rc1, 0.8.0rc2, 0.8.0, 0.8.1, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.15.2, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0rc1, 0.19.0, 0.19.1, 0.19.2, 0.20.0rc1, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.21.0rc1, 0.21.0, 0.21.1, 0.22.0, 0.23.0rc2, 0.23.0, 0.23.1, 0.23.2, 0.23.3, 0.23.4, 0.24.0rc1, 0.24.0, 0.24.1, 0.24.2)
ERROR: No matching distribution found for pandas==1.0.3 (from -r requirements.txt (line 2))

Something like that happened to me in the past. I solved it by uninstalling pandas then reinstalling it again. Perhaps you installed pandas long time ago so your version of out of date.

pandas 1.0.0 requires Python 3.6+. The last version that supports Python 3.5 is 0.25.3. Either use the version or upgrade to Python 3.6+ (3.6, 3.7 or 3.8).

Why pip-tools is unable to infer the correct version?

I try to use pip-compile to lock down my python dependency, so I wrote a very simple requirements.txt.
future >= 0.16.0
dronekit >= 2.9.1
dronekit-sitl >= 3.2.0
pymavlink >= 2.2.8
MAVProxy == 1.6.4
simplejson >= 3.10.0
However when I compile it, I got the following message:
$ pip-compile
Could not find a version that matches future==0.15.2,>=0.16.0
Tried: 0.0.1, 0.0.2, 0.0.3, 0.1.0, 0.2.0, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.4.0, 0.4.1, 0.5.0, 0.5.1, 0.5.2, 0.6.0, 0.7.0, 0.8.0, 0.8.1, 0.8.2, 0.9.0, 0.10.0, 0.10.1, 0.10.2, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.11.4, 0.12.0, 0.12.1, 0.12.2, 0.12.3, 0.12.4, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.14.2, 0.14.3, 0.15.0, 0.15.1, 0.15.2, 0.16.0, 0.17.0, 0.17.1
What bothers me is that future-0.16.0 is clearly in the list of versions, and future==0.15.2 never exists in transitive dependencies of any other project! So why pip-compile is unable to get this contradicting information?

future==0.15.2 does exist in your transitive dependencies. The most recent dronekit release, v2.9.1, has the following line in its setup.py:
'future==0.15.2'
This has been changed to future>=0.15.2 in the current dronekit master, but not in any release.