|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Python_reference||3,290||9 months ago||8||Jupyter Notebook|
|Useful functions, tutorials, and other Python-related things|
|Sklearn_tutorial||1,674||a day ago||8||bsd-3-clause||Jupyter Notebook|
|Materials for my scikit-learn tutorial|
|Parallel_ml_tutorial||1,529||6 years ago||4||Jupyter Notebook|
|Tutorial on scikit-learn and IPython for parallel machine learning|
|Pycon Pandas Tutorial||969||5 months ago||2||mit||Jupyter Notebook|
|PyCon 2015 Pandas tutorial materials|
|Ipython In Depth||877||2 years ago||6||other||Jupyter Notebook|
|IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012|
|Sklearn_pycon2015||861||4 years ago||4||bsd-3-clause||Jupyter Notebook|
|Materials for my Pycon 2015 scikit-learn tutorial.|
|Tutorials||835||5 months ago||4||apache-2.0||Jupyter Notebook|
|CatBoost tutorials repository|
|Tutorials||523||3 years ago||1||Jupyter Notebook|
|Ipython notebooks for math and finance tutorials|
|Cntk World||332||3 years ago||mit||Python|
|:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)|
|Sklearn_scipy2013||313||6 years ago||1||Python|
|Scikit-learn tutorials for the Scipy 2013 conference|
These files are IPython notebooks for testing different parts of QuTiP. These tests serves a somewhat different purpose than the unit test suite that is installed as a part of QuTiP. Instead of being small isolated (unit) tests, these notebooks are often more like integration tests, which exercise a larger part of the QuTiP codebase to make sure that different parts work together as expected, or tests that exercise various related parts in a module in a single location.
To open these files, start an IPython notebook server by running the following command in the directory that contains the files:
$ jupyter notebook
or, if you have an old version of IPython installed
$ ipython notebook
This will open a new page in your web browser, showing the IPython notebook dashboard page with an index of all the notebooks.
Older notebooks are in v3 format. The newer notebooks are in v4 format. If you are using a version of IPython notebook that does not support v4 format. (which would be v3.0.0 or lower), then you can convert these notebooks using:
$ jupyter nbconvert --to notebook --nbformat 3 <nb_to_convert>
This is currently (Jul 2019) running on the host service provided by My Binder.
You can also view the notebooks online, as read-only HTML pages rendered by http://nbviewer.ipython.org. The notebooks are rendered also by My Binder. .
The notebooks are organized with tutorials and lectures on index.ipynb.
You are most welcome to contribute to the QuTiP notebooks by forking this repository and sending pull requests, or filing bug reports at the issues page, or send us bug reports, questions, or your proposed changes to our QuTiP discussion group.
All contributions are acknowledged in the contributors section in the documentation.
Note that all notebook contributions must have a
qutip.about() line at the end for reproducibility purposes. It is also encouraged to add the notebook to the tutorial page and the index.
For more information, including technical advice, please see Contributing to QuTiP development.