firstDraft

[ashutoshbondre]

Added 3 files:

1. spec.json (The json data)
2. script.py (The python script which generated the notebook)
3. firstDraft.ipynb (The actual notebook)

[rgbkrk]

Oooh, I'm liking this spec file and script. Great approach for testing our own compliance.

[ashutoshbondre]

Hey quick question, how can I run the code cell using python command? Like I know in the notebook you can do shift+enter, but if I don't want to manually do that, and just run the code cells using my script & get the output of the code cells in the notebook, what is the command / syntax for that? If at all that's possible. Thanks.

[mpacer]

@ashutoshbondre Where are you running it from? If you can use nbconvert the Execute preprocessor probably does what you want: http://nbconvert.readthedocs.io/en/latest/execute_api.html

And if you want to do on individual cells directly, I'd recommend looking at the internals of the Execute preprocessor, specifically the preprocess_cell or the run_cell commands. I wouldn't use that code verbatim (it makes more sense in the nbconvert context) but it should get you a good chunk of the way there.

[mpacer]

Btw, just looked and was there a reason you used a python2 kernel? If not please switch to using python3? I anticipate that we'll eventually run into unicode bugs in this spec code otherwise.

[ashutoshbondre]

No reason. I will change that, and thanks for the help.

On Jun 14, 2017 3:17 PM, "M Pacer" notifications@github.com wrote:

Btw, just looked and was there a reason you used a python2 kernel? If not please switch to using python3? I anticipate that we'll eventually run into unicode bugs in this spec code otherwise.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[mpacer]

Looking at what you have, what I'd do is something like:

# ⋮ your imports
from nbconvert import ExecutePreprocessor

kernel_name = 'python3' # set it programmatically so that you only need to change it in one place
display_name = 'Python 3'
output_path = '/Users/ashu/github/ans.ipynb' # probably want to use a relative path? 
timeout_amount = 60 # none of these should take too long
metadata = {'kernelspec': {
    'name': your_kernel_name
    'display_name': display_name
    }} # this might need to be populated with more valid metadata, but I'm not sure which metadata you'll actually need.
format_version = 4.3
# ⋮ this is where your spec reading and cell writing would happen
executor = ExecutePreprocessor(timeout=60, kernel_name=your_kernel_name)
executor.preprocess(nb, metadata)
nbformat.write(nb,"/Users/ashu/github/ans.ipynb", format_version)

Hope that helps!

[ashutoshbondre]

@mpacer Thanks for the review, did most of the changes. Also ExecutePreprocessor did what I wanted.

One reason I used python 2 kernel was because that was the default one I had, I am having problems with executing the code in python3. I set up a different environment in python 3 using "conda create" command, but when I execute the code there,it doesn't even recognize nbformat. Says "no module named nbformat" .

Currently I am working on Python 2.7.13. Can you tell me, what can I do here, to switch to the right environment. I am pretty sure, I am just missing some minute detail. Thanks

[ellisonbg]

You would need to run pip install nbformat to install that package in the 2.7 environment, making sure that the right version of pip/python is in your path. Python packages have to be installed separately in each python version's site-packages dir.

On Wed, Jun 14, 2017 at 5:02 PM, Ashutosh Bondre notifications@github.com wrote:

@mpacer https://github.com/mpacer Thanks for the review, did most of the changes. Also ExecutePreprocessor did what I wanted.

One reason I used python 2 kernel was because that was the default one I had, I am having problems with executing the code in python3. I set up a different environment in python 3 using "conda create" command, but when I execute the code there,it doesn't even recognize nbformat. Says "no module named nbformat" .

Currently I am working on Python 2.7.13. Can you tell me, what can I do here, to switch to the right environment. I am pretty sure, I am just missing some minute detail. Thanks

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/jupyter/jupyter_markdown/pull/1#issuecomment-308591318, or mute the thread https://github.com/notifications/unsubscribe-auth/AABr0BaYzdmzIN1TUVhPkl-AaKy_T7pgks5sEHSTgaJpZM4N39u1 .

-- Brian E. Granger Associate Professor of Physics and Data Science Cal Poly State University, San Luis Obispo @ellisonbg on Twitter and GitHub bgranger@calpoly.edu and ellisonbg@gmail.com

[mpacer]

You need to switch into that environment and specifically install nbformat, notebook, lab, &c. to that environment. To make it easy you could use conda install but you should also be able to use pip if you want. If you go that route & run into trouble let me know.

Then, you need to install the kernel relative to that environment, which you can install by following instructions here: http://ipython.readthedocs.io/en/stable/install/kernel_install.html

If you want access to that kernel in all your environments use --sys-prefix when installing.

Then it should work.

On Wed, Jun 14, 2017 at 17:02 Ashutosh Bondre notifications@github.com wrote:

@mpacer https://github.com/mpacer Thanks for the review, did most of the changes. Also ExecutePreprocessor did what I wanted.

One reason I used python 2 kernel was because that was the default one I had, I am having problems with executing the code in python3. I set up a different environment in python 3 using "conda create" command, but when I execute the code there,it doesn't even recognize nbformat. Says "no module named nbformat" .

Currently I am working on Python 2.7.13. Can you tell me, what can I do here, to switch to the right environment. I am pretty sure, I am just missing some minute detail. Thanks

— You are receiving this because you were mentioned.

Reply to this email directly, view it on GitHub https://github.com/jupyter/jupyter_markdown/pull/1#issuecomment-308591318, or mute the thread https://github.com/notifications/unsubscribe-auth/ACXg6MmWwnuMzvQnzG5b8tmyThTT5Gsdks5sEHSTgaJpZM4N39u1 .

[ashutoshbondre]

Ready for review: Hi, I did all the necessary changes, added relative paths as well. The script now takes json data of any size & creates a number of notebooks, each with 100 examples. So in our case we have 643 entires, so it creates 7 notebooks, six with size 100 & seventh with 43 entries. Notebooks are named nb1, nb2, nb3, etc. on creation. Each notebook has 3 cells for each entry, which are:

1. Markdown cell with example number, eg. "Example 1"
2. Actual markdown code in a markdown cell.
3. Code cell, with html code for each markdown, each code cell already executed in place.

Thanks, Ashutosh

[ashutoshbondre]

All made with python3 kernel.

[rgbkrk]

I'd like to go ahead and assume that the requested changes were made and this is ready to go.