Comments (5)
I already started migrating to Poetry as a dependency management tool in the fork of okama by 'poetry' branch.
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I had a Teams conference call, where @chilango74 described moving to Poetry as a little bit challenging, as long as okama targets not only developers but also average users of Python with their conda environment. So the transition has to be scrutinized in that way as well
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Switching to poetry would affect only devlopers who install it with pip install git+https://github.com/mbk-dev/okama@dev
. General users will still be able to install the package in anaconda environments. Hence moving to poetry seems to be a good idea.
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I'd also target including the package in the official anaconda channel. This way we would be able to use conda install okama
too. Which is quite common for scientific packages.
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Resolved in #24
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Related Issues (20)
- Test okama wiht Python 3.10 HOT 1
- ImportError: cannot import name 'environmentfilter' from 'jinja2' HOT 1
- `.assests_first_dates` values are reseted in AssetList initiation
- Add assets weights to get_monte_carlo() output HOT 1
- Create `price_drawdowns` method for Portfolio & AssetList
- Look for a correct low limit of the multi-period EF (right part)
- Make faster multi-period minimize_risk() algorithm
- AssetList.describe() does not show CAGR values for perods within .period_length HOT 1
- Tickers with dot "." HOT 6
- Calculate real drawdowns
- avoid running the module namespaces.py when importing okama HOT 7
- Include ListMaker methods in the documentation
- Rename cagr argument in plot_transition_map() with x_axe HOT 7
- Make .describe() method show information for CAGR if the history period is below 1 year
- Add `get_mean_dividend_yield()' function to AssetList and Portfolio
- Add ex-post Tracking Error method to Portfolio
- plot_cml is taking wrong Maximum Sharpe Ratio (MSR) point HOT 1
- Library not fetching new data HOT 5
- Add `dividend_yield_annual` property for Portfolio
- Add `dividends_annual` property for Portfolio HOT 2
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