Summer of Code - Getting Started: Difference between revisions

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| [[Summer of Code - Getting Started#Using_Python_within_Octave | Pythonic package]] || Mike Miller || Colin B. Macdonald, Abhinav Tripathi || Infrastructure || No  || Medium || some in GSoC 2016
| [[Summer of Code - Getting Started#Using_Python_within_Octave | Pythonic package]] || Mike Miller || Colin B. Macdonald, Abhinav Tripathi || Infrastructure || No  || Medium || some in GSoC 2016
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| [[Summer of Code - Getting Started#JSON_encoding.2Fdecoding | JSON encoding/decoding]] || [[User:Siko1056|Kai T. Ohlhus]] || ? || Infrastructure || Yes  || Medium || Never
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| [[Summer of Code - Getting Started#Jupyter_Notebook_Integration | Jupyter Notebook Integration]] || Mike Miller || Colin B. Macdonald, [[User:Siko1056|Kai T. Ohlhus]] || Infrastructure ||  Yes || Medium || Never
| [[Summer of Code - Getting Started#Jupyter_Notebook_Integration | Jupyter Notebook Integration]] || Mike Miller || Colin B. Macdonald, [[User:Siko1056|Kai T. Ohlhus]] || Infrastructure ||  Yes || Medium || Never
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== Infrastructure ==
== Infrastructure ==
=== JSON encoding/decoding ===
[https://en.wikipedia.org/wiki/JSON JavaScript Object Notation], in short JSON, is a very common human readable and structured data format.  Unfortunately, GNU Octave still lacks of builtin support of that data format.  Having JSON support, Octave can improve for example it's web service functions, which often exchange JSON data these days.  Another interesting applicatoin is described in another Octave GSoC project, see [[Summer of Code - Getting Started#Jupyter_Integration | Jupyter integration]].
In bug {{bug|53100}} a vivid discussion about proper JSON support took place.  As JSON is a highly demanded feature for Octave, there are already several attempts to fill the gap:
* [https://github.com/fangq/jsonlab jsonlab] (M-file implementation, probably slow for large JSON files)
* [https://github.com/gllmflndn/JSONio JSONio] (C MEX wrapper around [https://github.com/zserge/jsmn jsmn])
* [https://github.com/Andy1978/octave-rapidjson octave-rapidjson] (C++ Octave wrapper around [https://rapidjson.org/ RapidJSON])
* [https://github.com/apjanke/octave-jsonstuff octave-jsonstuff] (C++ Octave wrapper around [https://rapidjson.org/ RapidJSON])
For different reasons, none of them can be directly merged into Octave core yet.  Thus there is still lots of work to do.  The goal of this project is to evaluate (and to cherry pick from) the implementations above, to create Matlab compatible [https://www.mathworks.com/help/matlab/ref/jsonencode.html jsonencode] and [https://www.mathworks.com/help/matlab/ref/jsondecode.html jsondecode] functions.  This involves proper documentation of the work and unit tests to ensure the correctness of the implementation.
* '''Minimum requirements'''
: Good Octave and C/C++ programming knowledge.  Ability to make use of C/C++ libraries.
* '''Difficulty'''
: Medium.
* '''Mentor'''
: [[User:Siko1056|Kai T. Ohlhus]]


=== Jupyter Notebook Integration ===
=== Jupyter Notebook Integration ===
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[http://jupyter.org Jupyter Notebook] is a web-based worksheet interface for computing.  There is a [https://github.com/Calysto/octave_kernel Octave kernel for Jupyter].  This project seeks in first place to improve that kernel to make Octave a first-class experience within the Jupyter Notebook.
[http://jupyter.org Jupyter Notebook] is a web-based worksheet interface for computing.  There is a [https://github.com/Calysto/octave_kernel Octave kernel for Jupyter].  This project seeks in first place to improve that kernel to make Octave a first-class experience within the Jupyter Notebook.


In general the [https://nbformat.readthedocs.io/en/latest/ Jupyter Notebook Format] is a plain JSON document.  In combination with another Octave GSoC project (see [[Summer of Code - Getting Started#JSON_encoding.2Fdecoding | JSON encoding/decoding]]), a second valuable outcome was that Octave can run (and fill) those Jupyter Notebooks on it's own.  This would enable Jupyter Notebook users to evaluate long running Octave Notebooks on a computing server without permanent browser connection, which is [https://github.com/jupyter/notebook/issues/1647 still a pending issue].
In general the [https://nbformat.readthedocs.io/en/latest/ Jupyter Notebook Format] is a plain JSON document, which is supported since Octave 7 (current development version). Another valuable project outcome was to run (and fill) those Jupyter Notebooks from within Octave.  This would enable Jupyter Notebook users to evaluate long running Octave Notebooks on a computing server without permanent browser connection, which is [https://github.com/jupyter/notebook/issues/1647 still a pending issue].


* '''Minimum requirements'''
* '''Minimum requirements'''
: Good Octave and Python programming knowledge.
: Octave and Python programming knowledge.
* '''Difficulty'''
* '''Difficulty'''
: Medium.
: Medium.
* '''Mentors'''
* '''Mentors'''
: Colin B. Macdonald, Mike Miller, [[User:Siko1056|Kai T. Ohlhus]]
: [[User:Siko1056|Kai T. Ohlhus]], Colin B. Macdonald, Mike Miller


=== Using Python within Octave ===
=== Using Python within Octave ===

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