Comments (5)
Which file is this in?
from thinkbayes2.
Which file is this in?
This is in chap01.ipynb (https://github.com/AllenDowney/ThinkBayes2/blob/master/notebooks/chap01.ipynb)
from thinkbayes2.
This notebook runs on Colab without problems:
https://colab.research.google.com/github/AllenDowney/ThinkBayes2/blob/master/notebooks/chap01.ipynb
I recommend running the notebooks on Colab.
I think I don't understand what you are asking.
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What I was trying to say was that the notebook I linked doesn't retrieve the gss_bayes.csv
file properly (404) whereas the Collab notebook works fine. I don't see the gss_bayes.csv file in this GitHub repository and the Collab notebook ends up using the csv file from a different repository which I initially found confusing since there's a "gss_bayes" folder that I assumed would have the data I need. In other words, I assumed the original data was meant to be in this repository because of the different data folders and the "gss_bayes" folder. I'll stick to the Collab notebooks for now since they seem to work just fine.
For extra context, here is the error I was getting when running the non-Collab notebook:
URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1125)>
from thinkbayes2.
It's intentional that it's coming from a different repo. But maybe that's causing something in your development environment to object. Anyway, if Colab works, you are all set!
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Related Issues (20)
- Chapter 8 missing cells in zip file HOT 3
- 'Compile' book from code HOT 1
- Chapter 10 Solutions - Definition / Implementation mismatch for the logistic HOT 1
- Chapter 6 Goblin Exercise HOT 2
- Example 6-8 number of Outperforming Portfolios HOT 2
- Chapter 20 Counting Cells Measurement Error Specification HOT 5
- What is considered to be the "data" in the M&M solution? (Ch 2: Bayes's Theorem) HOT 2
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- gss_bayes.csv HOT 2
- Oliver Problem - Chapter 6 - General Question HOT 1
- Lincoln Index - Three parameter model HOT 17
- Linda problem should use conditional probability when it comes to sex. HOT 2
- Formulas Not Displaying Properly in github.io version HOT 3
- Chapter 5 Prison Sentences HOT 7
- Chapter 1: caseid definition in the gss_bayes dataset HOT 1
- Chapter 8 - unexpected overlapping curves HOT 1
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