Add devcontainer configuration.

Author: stefmolin

.devcontainer/Dockerfile

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+ARG VARIANT=2
+FROM mcr.microsoft.com/devcontainers/universal:${VARIANT}
+
+# Create the conda environment
+COPY environment.yml /tmp/conda-tmp/
+RUN conda env create --file /tmp/conda-tmp/environment.yml --quiet

.devcontainer/README.md

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+# Welcome to the devcontainer for Introduction to Data Analysis Using Python!
+
+**IMPORTANT**: Open this file using the preview option to render the images (right-click the file in the left sidebar, and click **Open Preview**).
+
+---
+
+You will be running through the workshop in [Visual Studio Code](https://code.visualstudio.com/) using the Jupyter extension to interact with Jupyter Notebooks. Each time you open a new Jupyter Notebook, you will need to select the kernel (specify the virtual environment to use).
+
+Start by opening up the [`notebooks/0-check_your_env.ipynb`](../notebooks/0-check_your_env.ipynb) notebook and clicking the **Select Kernel** button at the top right:
+
+<img width="1000px" src="../media/devcontainer-select-kernel.png" alt="selecting a kernel">
+
+Select the **Python Environments...** option:
+
+<img width="600px" src="../media/devcontainer-python-environments-select.png" alt="initial options in select kernel menu">
+
+Select the **pandas_workshop** option:
+
+<img width="600px" src="../media/devcontainer-conda-env-select.png" alt="selecting a virtual environment">
+
+Use `pandas_workshop` for all subsequent notebooks. Note that you can close the bottom panel (**TERMINAL**) for more space.

.devcontainer/devcontainer.json

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+{
+	"name": "Pandas Workshop",
+
+	"build": {
+		"context": "..",
+		"dockerfile": "Dockerfile"
+	},
+
+	"hostRequirements": {
+		"cpus": 4,
+		"memory": "8gb",
+		"storage": "32gb"
+	},
+
+    // Configure tool-specific properties.
+	"customizations": {
+
+		// Configure how codespaces will open
+		"codespaces": {
+			"openFiles": [
+				".devcontainer/README.md"
+			]
+		},
+
+		// Configure properties specific to VS Code.
+		"vscode": {
+			// Set *default* container specific settings.json values on container create.
+			"settings": {
+				"python.defaultInterpreterPath": "/home/vscode/.conda/envs/pandas_workshop"
+			},
+
+			// Add the IDs of extensions you want installed when the container is created.
+			"extensions": [
+				"ms-python.python",
+				"ms-toolsai.jupyter"
+			]
+		}
+	}
+
+	// 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": ""
+}