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.devcontainer/devcontainer.json

@@ -0,0 +1,32 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/alpine
+{
+	"name": "Alpine",
+	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
+	"image": "mcr.microsoft.com/devcontainers/base:alpine-3.17",
+	"features": {
+		"ghcr.io/devcontainers/features/python:1": {}
+	},
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"pancho111203.vscode-ipython"
+			]
+		}
+	}
+
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "uname -a",
+
+	// Configure tool-specific properties.
+	// "customizations": {},
+
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
+}

.history/README_20230516052708.md

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+# IPython in depth tutorial
+
+Try it out on Binder! [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder%2FIndex.ipynb)
+
+In its current form, this tutorial is meant to be executed with Jupyter notebook
+5.0, using IPython 6.0 or newer on Python 3, the latest IPython version
+compatible with Python 2 is IPython 5.x that may not have the exact same
+behavior and all the features presented in this tutorial.
+
+
+You can find our installation instructions [for
+IPython](https://ipython.org/install.html) and [Jupyter
+notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+
+To get the tutorial, checkout the `ipython-in-depth` repo:
+
+    git clone https://github.com/ipython/ipython-in-depth
+
+Or [download current
+master](https://github.com/ipython/ipython-in-depth/zipball/master) and unzip
+it.
+
+At the command line, you can do this with (depending on whether your system uses
+wget or curl):
+
+    wget https://github.com/ipython/ipython-in-depth/zipball/master -O ipython-in-depth.zip
+
+or
+
+    curl -L https://github.com/ipython/ipython-in-depth/zipball/master -o ipython-in-depth.zip
+
+And then:
+
+    unzip ipython-in-depth.zip
+
+Change directory inside the directory newly created:
+
+    cd ipython-in-depth
+
+You can then start the Jupyter notebook server at a terminal with:
+
+    jupyter notebook
+
+
+## Docker images
+
+The tutorial do reference a couple of docker images that are quite heavy
+(several GB). Please do not download them on conference wifi. You may want to
+populate the Docker Cache you may want to use the following command ahead of
+time:
+
+  $ docker pull jupyter/datascience-notebook
+
+The image contains a installation of the Jupyter notebook with R, Julia,
+Python2, Python3 and a couple of libraries for each language.

.history/README_20230516055057.md

@@ -0,0 +1,54 @@
+# IPython in depth tutorial
+
+Try it out on Binder! [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder%2FIndex.ipynb)
+
+In its current form, this tutorial is meant to be executed with Jupyter notebook
+5.0, using IPython 6.0 or newer on Python 3, the latest IPython version
+compatible with Python 2 is IPython 5.x that may not have the exact same
+behavior and all the features presented in this tutorial.
+
+You can find our installation instructions [for
+IPython](https://ipython.org/install.html) and [Jupyter
+notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+
+To get the tutorial, checkout the `ipython-in-depth` repo:
+
+    git clone https://github.com/ipython/ipython-in-depth
+
+Or [download current
+master](https://github.com/ipython/ipython-in-depth/zipball/master) and unzip
+it.
+
+At the command line, you can do this with (depending on whether your system uses
+wget or curl):
+
+    wget https://github.com/ipython/ipython-in-depth/zipball/master -O ipython-in-depth.zip
+
+or
+
+    curl -L https://github.com/ipython/ipython-in-depth/zipball/master -o ipython-in-depth.zip
+
+And then:
+
+    unzip ipython-in-depth.zip
+
+Change directory inside the directory newly created:
+
+    cd ipython-in-depth
+
+You can then start the Jupyter notebook server at a terminal with:
+
+    jupyter notebook
+
+
+## Docker images
+
+The tutorial do reference a couple of docker images that are quite heavy
+(several GB). Please do not download them on conference wifi. You may want to
+populate the Docker Cache you may want to use the following command ahead of
+time:
+
+  $ docker pull jupyter/datascience-notebook
+
+The image contains a installation of the Jupyter notebook with R, Julia,
+Python2, Python3 and a couple of libraries for each language.

.history/README_20230516055103.md

@@ -0,0 +1,53 @@
+# IPython in depth tutorial
+
+Try it out on Binder! [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder%2FIndex.ipynb)
+
+In its current form, this tutorial is meant to be executed with Jupyter notebook
+5.0, using IPython 6.0 or newer on Python 3, the latest IPython version
+compatible with Python 2 is IPython 5.x that may not have the exact same
+behavior and all the features presented in this tutorial.
+
+You can find our installation instructions [for
+IPython](https://ipython.org/install.html) and [Jupyter
+notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+
+To get the tutorial, checkout the `ipython-in-depth` repo:
+
+    git clone https://github.com/ipython/ipython-in-depth
+
+Or [download current
+master](https://github.com/ipython/ipython-in-depth/zipball/master) and unzip
+it.
+
+At the command line, you can do this with (depending on whether your system uses
+wget or curl):
+
+    wget https://github.com/ipython/ipython-in-depth/zipball/master -O ipython-in-depth.zip
+
+or
+
+    curl -L https://github.com/ipython/ipython-in-depth/zipball/master -o ipython-in-depth.zip
+
+And then:
+
+    unzip ipython-in-depth.zip
+
+Change directory inside the directory newly created:
+
+    cd ipython-in-depth
+
+You can then start the Jupyter notebook server at a terminal with:
+
+    jupyter notebook
+
+## Docker images
+
+The tutorial do reference a couple of docker images that are quite heavy
+(several GB). Please do not download them on conference wifi. You may want to
+populate the Docker Cache you may want to use the following command ahead of
+time:
+
+  $ docker pull jupyter/datascience-notebook
+
+The image contains a installation of the Jupyter notebook with R, Julia,
+Python2, Python3 and a couple of libraries for each language.

.history/README_20230516055105.md

@@ -0,0 +1,52 @@
+# IPython in depth tutorial
+
+Try it out on Binder! [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder%2FIndex.ipynb)
+
+In its current form, this tutorial is meant to be executed with Jupyter notebook
+5.0, using IPython 6.0 or newer on Python 3, the latest IPython version
+compatible with Python 2 is IPython 5.x that may not have the exact same
+behavior and all the features presented in this tutorial.
+
+You can find our installation instructions [for
+IPython](https://ipython.org/install.html) and [Jupyter
+notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+
+To get the tutorial, checkout the `ipython-in-depth` repo:
+
+    git clone https://github.com/ipython/ipython-in-depth
+
+Or [download current
+master](https://github.com/ipython/ipython-in-depth/zipball/master) and unzip
+it.
+
+At the command line, you can do this with (depending on whether your system uses
+wget or curl):
+
+    wget https://github.com/ipython/ipython-in-depth/zipball/master -O ipython-in-depth.zip
+
+or
+
+    curl -L https://github.com/ipython/ipython-in-depth/zipball/master -o ipython-in-depth.zip
+
+And then:
+
+    unzip ipython-in-depth.zip
+
+Change directory inside the directory newly created:
+
+    cd ipython-in-depth
+
+You can then start the Jupyter notebook server at a terminal with:
+
+    jupyter notebook
+## Docker images
+
+The tutorial do reference a couple of docker images that are quite heavy
+(several GB). Please do not download them on conference wifi. You may want to
+populate the Docker Cache you may want to use the following command ahead of
+time:
+
+  $ docker pull jupyter/datascience-notebook
+
+The image contains a installation of the Jupyter notebook with R, Julia,
+Python2, Python3 and a couple of libraries for each language.

.history/README_20230516055107.md

@@ -0,0 +1,53 @@
+# IPython in depth tutorial
+
+Try it out on Binder! [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder%2FIndex.ipynb)
+
+In its current form, this tutorial is meant to be executed with Jupyter notebook
+5.0, using IPython 6.0 or newer on Python 3, the latest IPython version
+compatible with Python 2 is IPython 5.x that may not have the exact same
+behavior and all the features presented in this tutorial.
+
+You can find our installation instructions [for
+IPython](https://ipython.org/install.html) and [Jupyter
+notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+
+To get the tutorial, checkout the `ipython-in-depth` repo:
+
+    git clone https://github.com/ipython/ipython-in-depth
+
+Or [download current
+master](https://github.com/ipython/ipython-in-depth/zipball/master) and unzip
+it.
+
+At the command line, you can do this with (depending on whether your system uses
+wget or curl):
+
+    wget https://github.com/ipython/ipython-in-depth/zipball/master -O ipython-in-depth.zip
+
+or
+
+    curl -L https://github.com/ipython/ipython-in-depth/zipball/master -o ipython-in-depth.zip
+
+And then:
+
+    unzip ipython-in-depth.zip
+
+Change directory inside the directory newly created:
+
+    cd ipython-in-depth
+
+You can then start the Jupyter notebook server at a terminal with:
+
+    jupyter notebook
+
+## Docker images
+
+The tutorial do reference a couple of docker images that are quite heavy
+(several GB). Please do not download them on conference wifi. You may want to
+populate the Docker Cache you may want to use the following command ahead of
+time:
+
+  $ docker pull jupyter/datascience-notebook
+
+The image contains a installation of the Jupyter notebook with R, Julia,
+Python2, Python3 and a couple of libraries for each language.

.history/README_20230516055116.md

@@ -0,0 +1,53 @@
+# IPython in depth tutorial
+
+Try it out on Binder! [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder%2FIndex.ipynb)
+
+In its current form, this tutorial is meant to be executed with Jupyter notebook
+5.0, using IPython 6.0 or newer on Python 3, the latest IPython version
+compatible with Python 2 is IPython 5.x that may not have the exact same
+behavior and all the features presented in this tutorial.
+
+You can find our installation instructions [for
+IPython](https://ipython.org/install.html) and [Jupyter
+notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+
+To get the tutorial, checkout the `ipython-in-depth` repo:
+
+    git clone https://github.com/ipython/ipython-in-depth
+
+Or [download current
+master](https://github.com/ipython/ipython-in-depth/zipball/master) and unzip
+it.
+
+At the command line, you can do this with (depending on whether your system uses
+wget or curl):
+
+    wget https://github.com/ipython/ipython-in-depth/zipball/master -O ipython-in-depth.zip
+
+or
+
+    curl -L https://github.com/ipython/ipython-in-depth/zipball/master -o ipython-in-depth.zip
+
+And then:
+
+    unzip ipython-in-depth.zip
+
+Change directory inside the directory newly created:
+
+    cd ipython-in-depth
+
+You can then start the Jupyter notebook server at a terminal with:
+
+    jupyter notebook
+
+## Docker images
+
+The tutorial do reference a couple of docker images that are quite heavy
+(several GB). Please do not download them on conference wifi. You may want to
+populate the Docker Cache you may want to use the following command ahead of
+time:
+
+  $ docker pull jupyter/datascience-notebook
+
+The image contains a installation of the Jupyter notebook with R, Julia,
+Python2, Python3 and a couple of libraries for each language.