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updated Jupyter intro
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@diazdc
diazdc committed Oct 25, 2019
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97 changes: 31 additions & 66 deletions workshops/.ipynb_checkpoints/Jupyter_Lab_intro-checkpoint.ipynb
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"\n",
"# Interactive Coding With [Jupyter Lab](https://jupyterlab.readthedocs.io/en/stable/)\n",
"\n",
"From the docs:\n",
"\n",
">JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner. You can arrange multiple documents and activities side by side in the work area using tabs and splitters."
]
},
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"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": true
}
"editable": true
},
"outputs": [],
"source": [
Expand All @@ -93,12 +91,8 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": true
}
"editable": true
},
"outputs": [],
"source": [
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"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": true
}
"editable": true
},
"outputs": [],
"source": [
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"\n",
"Interactive programming directly from the a python script is very similar to debugging, because you can evaluate each line of your script in a step-wise fashion. This is quite similar to notebook cell, but instead you highlight the amount of text you want to send to the interpreter.\n",
"\n",
"Here we're going to open a regular python script which contains a few examples from previous problem sets. You can right click on the editor for any notebook or python script and select \"New Console\" to bring up the IPython interpreter for the file you are currently editing. **Shift+enter** is the default shortcut for sending your highlighted text to the interpreter.\n",
"Here we're going to open a regular python script from the Jupyter Lab sidebar which contains a few examples from previous problem sets. You can right click on the editor for any notebook or python script and select \"New Console\" to bring up the IPython interpreter for the file you are currently editing. **Shift+enter** is the default shortcut for sending your highlighted text to the interpreter.\n",
"\n",
"**Note:** Sending text from a Python script to the interpreter requires that you highlight code with the **correct** indentation (e.g. four spaces). "
]
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"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": true
}
"editable": true
},
"outputs": [],
"source": [
"!ls\n",
"\n",
"!pwd\n",
"\n",
"!echo \"printing from the shell\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": true
}
"editable": true
},
"outputs": [],
"source": [
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"editable": true
},
"source": [
"### IPython \"magic\" commands\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
">IPython has a set of predefined ‘magic functions’ that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the **%** character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. Cell magics are prefixed with a double **%%**, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument.\n",
"### IPython \"magic\" commands\n",
"\n",
"From [the IPython manual](https://ipython.readthedocs.io/en/stable/interactive/magics.html):\n",
"\n",
"\n",
">IPython has a set of predefined ‘magic functions’ that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the `%` character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. Cell magics are prefixed with a double `%%`, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument.\n",
"\n",
"Let's take a look a few of the most useful IPython magic commands. You can find a complete summary of them in [this section](https://ipython.readthedocs.io/en/stable/interactive/magics.html) of IPython manual.\n",
"\n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"#### %system\n",
"#### %%writefile\n",
"\n",
"Shell execute - run shell command and capture output (!! is short-hand)"
"Write the contents of a cell to a file."
]
},
{
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},
"outputs": [],
"source": [
"%system"
"%%writefile message.txt\n",
"\"don't forget to commit your changes!\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### %time\n",
"#### %time \n",
"\n",
"Time execution of a Python statement or expression."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"%time"
"Time execution of a Python statement or expression. When used with a single `%` the time for a command on a single line is returned. When used with `%%` the run time for the whole cell is returned."
]
},
{
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},
"outputs": [],
"source": [
"%load Jupyter_Lab_ps1.py"
"%%time\n",
"\n",
"import time\n",
"time.sleep(2)\n",
"print(\"wake up\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"deletable": true,
"editable": true
},
"outputs": [],
"cell_type": "markdown",
"metadata": {},
"source": [
"%pdb on"
"#### %load\n",
"\n",
"Load a python script into a cell."
]
},
{
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},
"outputs": [],
"source": [
"%run Jupyter_Lab_ps1.py Daniel"
"%load Jupyter_Lab_ps1.py"
]
},
{
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