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Added shortkeys
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mirate committed Aug 17, 2017
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24 changes: 19 additions & 5 deletions Introduction-to-jupyter/Jupyter-getting-started.ipynb
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"source": [
"Welcome to Jupyter Notebook!\n",
"\n",
"This tutorial contains basics of the Jupyter Notebook application. If you have opened this tutorial in Jupyter you can test different features, modify the content and create comments. If you haven't installed the Jupyter yet, you can find the instructions for installing below in the section _Installing Jupyter Notebook_.\n",
"\n",
"You can also open a free test version at https://try.jupyter.org/ or you can create a free account on the CoCalc service at https://cocalc.com/. CoCalc makes it possible to use Jupyter in cloud without installing it to your computer.\n",
"This tutorial contains basics of the Jupyter Notebook application. If you have opened this tutorial in Jupyter you can test different features, modify the content and create comments. If you don't have Jupyter yet, see section _Installing Jupyter Notebook_.\n",
"\n",
"For more detailed instructions, the official documentation of the Jupyter project can be found at http://jupyter.readthedocs.io/en/latest/index.html. The Jupyter Notebook documentation is available at http://jupyter-notebook.readthedocs.io/en/latest/.\n",
"\n",
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"- Install Anaconda with the installation wizard that was downloaded.\n",
"- After the installation you can start Jupyter either by opening the application _Anaconda Navigator_ and the choosing Jupyter Notebook from the menu or by writing the command _jupyter notebook_ to command line.\n",
"\n",
"Other options for installing Jupyter can be found from http://jupyter.readthedocs.io/en/latest/install.html."
"Other options for installing Jupyter can be found from http://jupyter.readthedocs.io/en/latest/install.html.\n",
"\n",
"You can also open a free test version at https://try.jupyter.org/ or you can create a free account on the CoCalc service at https://cocalc.com/. CoCalc makes it possible to use Jupyter in cloud without installing it to your computer."
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"There are four different cell types in Jupyter: __code__ (programming code), __Markdown__ (normal text), __heading__ and __raw__ (code that will be left off from the content of the notebook). The most important ones are Code and Markdown cells."
"There are four different cell types in Jupyter: __code__ (programming code), __Markdown__ (normal text), __heading__ and __raw__ (code that will be left off from the content of the notebook). The most important ones are Code and Markdown cells.\n",
"\n",
"There are some useful shortkeys listed in the table below. You can also check out how to create a table and set different alignments for colums. More precise information concerning cells is found in the following subsections. \n",
"\n",
"|Shortkey <br> (Cell not active \\*)| Function | Shortkey <br> (Cell active \\**) | Function |\n",
"|:---: |:--- | :---: | ---: |\n",
"| a/b | new cell above/below | Ctrl + Enter | run cell |\n",
"| dd | delete cell | Shift + Enter | run cell and activate next cell |\n",
"| m/y | text/code cell | Alt + Enter | run cell and create new cell below |\n",
"| up/down | previous/next cell | Ctrl + Shift + - | divide cell |\n",
"| s | save | Ctrl + S | save |\n",
"| (centered) | (left aligned) | (left aligned) | (right aligned) | \n",
" \n",
"\\* *Cell not active* refers to command mode when the cursor is outside of the cell and the side of the cell is blue. <br>\n",
"\\*\\* *Cell active* refers to edit mode when the cursor is active inside the cell and the side of the cell is green. <br>"
]
},
{
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