Ah ok, it may be the case that working with the R interface and using 
TDAstats (https://cran.r-project.org/web/packages/TDAstats/index.html) might 
now be the best solution, but I may comment on this again when I have 
landed on what I will use. 

On Thursday, October 15, 2020 at 6:57:24 PM UTC+1 John H Palmieri wrote:

> No, I do not believe so.
>
>
> On Thursday, October 15, 2020 at 10:22:36 AM UTC-7, Linden Disney wrote:
>>
>> I am just starting a project involving persistent homology, did anything 
>> end up happening with this? 
>>
>> On Wednesday, September 13, 2017 at 1:55:30 AM UTC+1 slelievre wrote:
>>
>>> Tue 2017-09-12 07:25:20 UTC, Pierre:
>>>
>>> > I tried to follow the instructions, in a brand new cocalc project.
>>> > This failed, with [...]
>>>
>>> There have been major CoCalc changes since the successful
>>> installation I reported three weeks ago. Notably, CoCalc projects
>>> now run under Ubuntu 16.04.3 (vs previously 15.10).
>>>
>>> Trying again in this new setting, I get the same failure as you.
>>> This Bash Jupyter notebook shows the failure:
>>>
>>>
>>> https://cocalc.com/projects/57b64f7e-e45e-4171-a0f0-bb53ab8befb1/files/install-gudhi.ipynb
>>>
>>> The CoCalc developers are looking into this.
>>>
>>

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