comapre render on jupyter vs on github and fix

git clone --depth 1 --branch url

I see this issue for Jupyter notebooks on GitHub every now and then. Pretty annoying and no matter how many times I refresh or change the browser, it just doesn't load.

However, from time to time when I see this issue I just do the following and refresh again:

Enabling Disable cache in the Network tab seems to enforce something that makes it work often. (just be careful to disable it again since it makes browsing the Internet very slow as it won't cache anything 😊 )

Originally posted by @maziyarpanahi in #11 (comment)

change "setup 64" for "setup 32 or 64 - depending on your operational system"

beginner:
get references to models and algorithms
write equations as mathjax before numerical implementation

• sqlite sqalchemist database
• oop packages
• high performance: numba cython theano numexpr pycuda pymp mpi

this pitzer calculates activity based on gibbsduhem/osmotic pressure
then outputs activity coeficient (gamma= ativ/x) considering a basis of salt (not ion) = nw/(nw_ns)
therefore correct activity and chemical potential can be retrieved using this composition with the returned activity coefficient.

#ToDo: change this basis in and out of pitzer model to ion: nw/(nw+na+nc) and document, to be consistent with formulations for other electrolyte solutions, acknowledging the salt is ~completely ionized into anion and cation species

• teaser results
  • create a folder or file with teaser results and "input->BOX[code]->output" diagram corresponding the result
• graphical logo in main README

The title of the adsorption notebook is the title of the LLE flash notebook.

create a universal header for all ipynb files
so any file can be identified and traced back to the project
if shared via facebook, email, scribd, ebah, etc
between users of the site and non users that might be interested in the rest of the content

The issue

Getting the message "Sorry, something went wrong. Reload?" when viewing an *.ipynb on a GitHub blob page.

• Probably a problem with the GitHub notebook viewing tool - sometimes github fails to render the ipynb notebooks, I believe that is some temporary (and recurring) issue with their backend

A workaround

Try to open that notebook that you want using nbviewer online, you don't need to install it.

• Open "https://nbviewer.jupyter.org/"
• Paste the link to your notebook, (e.g. "https://github.com/iurisegtovich/PyTherm-applied-thermodynamics/blob/master/index.ipynb") there and then you get "http://nbviewer.jupyter.org/github/iurisegtovich/PyTherm-applied-thermodynamics/blob/master/index.ipynb"

This site nbviewer works independently of github.

• If some notebook rendered in nbviewer appears different from rendered in github, then append "?flush_cache=true" to the end of the nbviewer version url to force it to rerender.
  e.g.
  http://nbviewer.jupyter.org/github/iurisegtovich/PyTherm-applied-thermodynamics/blob/master/index.ipynb
  becomes
  http://nbviewer.jupyter.org/github/iurisegtovich/PyTherm-applied-thermodynamics/blob/master/index.ipynb?flush_cache=true

create a folder or file with teaser results and "input->BOX[code]->output" diagram corresponding the result

1. research the state-of-the-(open source)-art in github, matching the keywords
2. thermodynamics
3. thermophysical
   and write a list.
4. cite the relevant references at a suitable part of the abstract of our repository
   (write our motivation and goals under the light of the existing material)

Quando mencionar baixar como zip ou como pull, mencione o botão clone or download e fale que é pra baixar o repositório todo.

Não foi encontrado o kernel Python [Root]. Apenas Python [conda root] e Python [Default]

os resultados salvos na última execução do notebook são os de
Dg12 = 1335
em vez de
Dg12 = 1335 * 4.184 #J/K
(para todos os DGij)