Jupyter Notebook 5.1.0 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 12.3.2 JavaScript Tests To run0 码力 | 128 页 | 1.72 MB | 1 年前3- Jupyter Notebook 5.0.0 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 12.3.2 JavaScript Tests To run0 码力 | 129 页 | 1.76 MB | 1 年前3
- Jupyter Notebook 5.2.2 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 12.3.2 JavaScript Tests To run0 码力 | 129 页 | 1.73 MB | 1 年前3
Jupyter Notebook 5.0.0 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also Rich Output [https://nbviewer -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook JavaScript Tests To run the JavaScript0 码力 | 184 页 | 4.40 MB | 1 年前3- Jupyter Notebook 5.1.0 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also Rich Output [https://nbviewer -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook JavaScript Tests To run the JavaScript0 码力 | 184 页 | 4.36 MB | 1 年前3
- Jupyter Notebook 5.2.2 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also Rich Output [https://nbviewer -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook JavaScript Tests To run the JavaScript0 码力 | 183 页 | 4.36 MB | 1 年前3
- Jupyter Notebook 5.4.1 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 12.3.2 JavaScript Tests To run0 码力 | 134 页 | 1.77 MB | 1 年前3
- Jupyter Notebook 5.5.0 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 15.3.2 JavaScript Tests To run0 码力 | 143 页 | 1.81 MB | 1 年前3
- Jupyter Notebook 5.4.0 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 12.3.2 JavaScript Tests To run0 码力 | 134 页 | 1.77 MB | 1 年前3
- Jupyter Notebook 5.3.1 Documentationpossible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example notebook -e .[test] To run the Python tests, use: nosetests If you want coverage statistics as well, you can run: nosetests --with-coverage --cover-package=notebook notebook 12.3.2 JavaScript Tests To run0 码力 | 133 页 | 1.77 MB | 1 年前3
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