Comments (5)
Question... when I install packages on linux (Ubuntu) I just use pip and it seems to work fine with the wheel files. How is this tarball different? I am happy to promote the existence of the Arch Linux package, but want to make sure I understand exactly what that means.
Looks like you are correct on the toolz I removed in the latest commit ec34bfc
from pandas_market_calendars.
pip
is ok and I was using it till now for pandas_market_calendars. Then:
- it is not very good at managing dependencies, updates and removal with dependencies
- it also means you need to manage separately your Linux distro packages and your python packages. In Arch we usually create our python packages, then everything is properly managed and updated in the same place. The package is created from the source, we use setuptools and execute python setup.py build/install.
Note that Arch is now the #1 distro as ranked by distrowatch here : Manjaro is an Arch based distro - Antergos as well, not far behind.
Also if it is easier for you to make releases here on GitHub directly this is absolutely fine, it does not need to follow the same release cycle as pypi I can point here as well. The most convenient for you.
from pandas_market_calendars.
Thanks for the explanation, very interesting. How do you suggest I advertise this fact? Include in the README.rst? Is there a standard way to state "go here for Arch Linux package"
In terms of release I added the tarball to the process so should be on PyPi for all future releases.
from pandas_market_calendars.
Great, yes I think the link in the README would be fine.
Thanks very much.
from pandas_market_calendars.
Done. thanks.
from pandas_market_calendars.
Related Issues (20)
- 1 test fails: tests/test_market_calendar.py:1155: AssertionError HOT 4
- Missing Comma in Energy and Metals Aliases List HOT 1
- missing data for dates prior to 1995-01-01 HOT 3
- 2023-10-06 is not trade day HOT 1
- XNSE 2023-06-29 missing holiday HOT 1
- importing this package alters the behavior of pandas HOT 1
- ADD XJPX as an allias for JPX HOT 1
- 2023 XHKG typhoon closures
- date_range 1min ranges from 9:31am to 4pm instead of 9:30am to 3:59pm HOT 3
- 167 errors in tests HOT 1
- Good Friday is always a holiday for CBOE/CFE even when Christmas and NYE fall on a Friday
- not compatible with pandas >= 2.0.3 HOT 11
- Nasdaq Calendar HOT 1
- Eurex does not close on German National Day HOT 1
- XCSE - General Prayers Day is not a holiday anymore in Denmark
- Please update the pandas version dependency HOT 4
- 2 tests fail: AssertionError: assert <DstTzInfo 'America/New_York' LMT-1 day, 19:04:00 STD> == zoneinfo.ZoneInfo(key='America/New_York')
- open_at_time future warning
- Juneteenth not added to the listed holidays in cme.py HOT 5
- CME globex USNewYearDay incorrect when NY is on Sunday HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pandas_market_calendars.