Archives? I wonder what page you're on. The place to look is http://conda.pydata.org/miniconda.html
The table at the top has platforms across the columns and python versions (2.7, 3.5) for the rows. Presuming you're on 64bit windows, you want https://repo.continuum.io/miniconda/Miniconda2-latest-Windows-x86_64.exe If this isn't clear, please give me a call. -- Dan office: 913-945-6741 ________________________________ From: Debbie Yoshihara [[email protected]] Sent: Friday, September 30, 2016 2:43 PM To: Dan Connolly; <[email protected]> Subject: Re: pandas for Breast Cancer data manipulation: confirm installation Can you give me a date for the python2 version? When I go into the archives for anaconda there are a lot of old versions but it doesn't specify which ones are python2 vs python 3. --- Debbie ________________________________ From: [email protected] <[email protected]> on behalf of Dan Connolly <[email protected]> Sent: Friday, September 30, 2016 11:54:26 AM To: <[email protected]> Subject: RE: pandas for Breast Cancer data manipulation: confirm installation I just realized the "print len(cohort)" works with python2, which I usually use, but not python3. Please choose python2 when you're doing your install. I'm not sure where that comes up in the installation process, but I can find out. If necessary, I can support python3, but I don't think it's really necessary. -- Dan ________________________________ From: Dan Connolly Sent: Friday, September 30, 2016 10:51 AM To: <[email protected]> Subject: pandas for Breast Cancer data manipulation: confirm installation For the 8 sites participating in the breast cancer data collection, please install pandas<http://pandas.pydata.org/pandas-docs/stable/install.html#installing-pandas-with-miniconda> (if you have not already) and confirm that you can read and write relevant CSV files, e.g. your cohort with a study_id column: import pandas as pd cohort = pd.read_csv("my_cohort.csv") print len(cohort) Please confirm by making a note in #297 collect breast cancer data from GPC sites<https://informatics.gpcnetwork.org/trac/Project/ticket/297> or by email to me and/or gpc-dev. I estimate installation should take 10 minutes or less. If it's not working after 15 minutes, let me know and I'll figure something out. References: * <http://pandas.pydata.org/pandas-docs/stable/install.html#installing-pandas-with-miniconda> GPC Breast Cancer Second Data Pull<https://docs.google.com/presentation/d/1LANts9zyDNyR3uPoArU04tsrxaC2Ao3rQyRk9JRPg9c/edit#slide=id.p> * #214 breast cancer linked study database available for analysis<https://informatics.gpcnetwork.org/trac/Project/ticket/214> -- Dan
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