erp5_dat_notebook bt5: Add External method base_savePlot and use Image module as context while creating new Image Object in base_savePlot

erp5_dat_notebook bt5: Add Base_savePlot to JupyterCompile extension which would help creating an ERP5 Image object from matplotlib plots

erp5_data_notebook bt5: Rename Base_displayMatplotlibImage to Base_displayImage so as to make it sound more generic

mime_type for results for executed jupyter_code from JupyterCompile extension
has also been defined on the server side itself.

This would help server to have more command over what Content-Type  would be
displayed to jupyter frontend.

erp5_data_notebook bt5: Use dictionary to save module imports instead of saving it as list of strings.

Using dictinary its easier to update modules frequently.

For example, executing code:

'''
import numpy as np
import numpy
'''

would result as :
local_variable_dict['imports'] = {'numpy': 'numpy', 'np': 'numpy'}
which is what we expect to be saved in globals() also.

Problem: Module objects are not picklable, thus, trying them to save in
local_variable_dict which is further saved in ZODB via ActiveResult object
of CMFActivity was giving error. So, its better to save the module objects
as code_strings in local_variable_dict.

As for now, for example:
local_variable_dict = {'imports': ['import numpy as np', 'import matplotlib as mpl'],
			 'variables': {'a':1, 'b:2'}}
for jupyter_code = """
import numpy as np
import matplotlib as mlp
a= 1; b=2; print a+b
"""

erp5_data_notebook bt5: Update Listbox containing Data Notebook Lines to maximum of 20 lines per page

erp5_data_notebook bt5: Refactor test to use reference while searching through portal_catalog instead of notebook_code which was incorrect as there was no key as such in SQL_catalog for erp5

erp5_data_notebook bt5: Make notebook_code and notebook_code_result field uneditable for Data Notebook Line object

erp5_data_notebook bt5: Changed name of portal type from Data Notebook Message to Data Notebook Line and changes in various scripts where it has been used

erp5_data_notebook bt5: Rename Notebook Cell Input and Notebook Cell Output in Data Notebook Message

erp5_data_notebook bt5: Use interactivity/mode and finally execute all code using exec to get rid of try:except

erp5-data-notebook bt5: Refactor testExecuteJupyter to new JupyterCompile where we are letting errors fails loudly in erp5

erp5-data-notebook bt5: Remove exception catching from Base_runJupyter external function and let the errors be raised loudly

erp5_data_notebook bt5: Add transaction abort and fail loudly in case of error in transaction script

erp5_data_notebook: Check user permission for at entry point for Base_executeJupyter python script so that non-developer user cannot execute python code through script

erp5_data_notebook: Refactor jupyter_compile to only return the local variables which are added after code execution

erp5_data_notebook: Add dict to convert string to Boolean in Base_executeJupyter python script for getting all the data notebooks

erp5_data_notebook bt5: Updated extension JupyterCompile to use globals variable while running exec command

This BT is used to interact ERP5 with Jupyter and execute the python code.
1. External method `Base_executeJupyter` to interact between code from Jupyter and ERP5 backend.
2. Module - Data Notebooks
3. Unittest `JupyterCompile` to test external method and extensions.

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