Problem updating to Version 1.9.24 from 1.8.10, Win 10 Anaconda
cnimativ last edited by
I've downloaded and installed the latest version via "python setup.py install". I got the following confirmation of installation success.
Installed c:\anaconda3\lib\site-packages\backtrader-126.96.36.199-py3.5.egg Processing dependencies for backtrader==188.8.131.52 Finished processing dependencies for backtrader==184.108.40.206
However, when I launch Spyders and do a quick test, I am still on 220.127.116.11
> import backtrader > print(backtrader.__version__) 18.104.22.168
I dived into the anaconda3 site-packages and found the
backtrader-22.214.171.124-py3.5.eggfile there, and at the same time the old
backtrader-126.96.36.199.dist-infodirectory are still there. It seems Spyders/Anaconda is reading off the old version.
How do I update my backtrader installation to the new version? What would be a good way for me to manage all the packages?
cnimativ last edited by
pip install --upgrade backtraderworked.
skytrading54 last edited by
A question on similar lines..
I am relatively new to python...
Appreciate that Backtrader is quite well maintained with follows regular releases with fixes/new features.
I am using windows 10 & python 2.7 - pip install or using setup.py in backtrader to install for manual install, in both ways it overrides the existing installation. At any point of time I wish to maintain 2 versions in same environment.
- Keep existing stuff running with the version I had it tested with.
- use newer version for subsequent testing and once stable update it..
did some google, but prefer if we have some inbuild setup in backtrade to be able to have multiple versions installed at the same time and we can choose to point to specific versions.
RandyT last edited by
@skytrading54 I'm a bit new to python as well but will share what I do.
I'm using virtualenv and the virtualenv wrapper. This allows me to create a
virtualenvfor use with python3 or python2. I then maintain requirements.txt files for the different environments which allow me to do
pip install -r requirements-dev.txt --upgradewhich points to the backtrader repo development branch with
git+https://github.com/mementum/backtrader@developmentas well as a list of all other module dependencies needed.
virtualenvwrapperinstalled, I can simply type
workon backtrader-devin the local directory to setup the environment to use the backtrader installed from development branch for example. You can create as many
virtualenvenvironments as you would like.
I've heard some people prefer conda and/or anaconda, but I have found that to be more cumbersome.
winpythonare two of the usually almost-all-in-one Python distributions mostly used.
virtualenvcan be used also with them to separate different installations of the same packages (even directly installing from the
gitrepository and pointing to a specific branch as done by @RandyT.