Add base+ images to repo and info to README

README.md

@@ -24,8 +24,8 @@ which functions as the data backbone for prominent hedge funds, banks, and finan
 
 | Language      | Server Application | Client Application (OpenAPI) |
 | ------------- | ------------------ | ---------------------------- |
-| Python        | Yes                | Yes                           |
-| Java / Groovy | Yes                | Yes                           |
+| Python        | Yes                | Yes                          |
+| Java / Groovy | Yes                | Yes                          |
 | C++           | No                 | Yes                          |
 | JavaScript    | No                 | Yes                          |
 | gRPC          | -                  | Yes                          |
@@ -79,18 +79,91 @@ cd deephaven-deployment
 Run the following commands to launch Deephaven for Python server applications. 
 
 ```bash
-curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python/docker-compose.yml -O
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python/base/docker-compose.yml -O
 docker-compose pull
 docker-compose up -d
 ```
 
+### Launch: Python with NLTK
+
+Run the following commands to launch Deephaven for Python server applications with the [NLTK](https://nltk.org/) module pre-installed.
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python/NLTK/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with PyTorch
+
+Run the following commands to launch Deephaven for Python server applications with the [PyTorch](https://pytorch.org/) module pre-installed.
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python/PyTorch/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with SciKit-Learn
+
+Run the following commands to launch Deephaven for Python server applications with the [SciKit-Learn](https://scikit-learn.org/stable/) module pre-installed.
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python/SciKit-Learn/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with TensorFlow
+
+Run the following commands to launch Deephaven for Python server applications with the [TensorFlow](https://www.tensorflow.org/) module pre-installed.
 
 ### Launch: Python with example data
 
 Run the following commands to launch Deephaven for Python server applications, with example data.
 
 ```bash
-curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/docker-compose.yml -O
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/base/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with example data and NLTK
+
+Run the following commands to launch Deephaven for Python server applications, with example data and [NLTK](https://nltk.org/).
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/NLTK/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with example data and PyTorch
+
+Run the following commands to launch Deephaven for Python server applications, with example data and [PyTorch](https://pytorch.org/).
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/PyTorch/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with example data and SciKit-Learn
+
+Run the following commands to launch Deephaven for Python server applications, with example data and [SciKit-Learn](https://scikit-learn.org/stable/).
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/SciKit-Learn/docker-compose.yml -O
+docker-compose pull
+docker-compose up -d
+```
+
+### Launch: Python with example data and TensorFlow
+
+Run the following commands to launch Deephaven for Python server applications, with example data and [TensorFlow](https://www.tensorflow.org/).
+
+```bash
+curl https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/TensorFlow/docker-compose.yml -O
 docker-compose pull
 docker-compose up -d
 ```
@@ -105,7 +178,6 @@ docker-compose pull
 docker-compose up -d
 ```
 
-
 ### Launch: Groovy / Java with example data
 
 Run the following commands to launch Deephaven for Groovy / Java server applications, with example data.

containers/python-examples/NLTK/README.md

@@ -0,0 +1,24 @@
+# Overview
+
+A Docker Compose deployment for [Deephaven](https://deephaven.io).
+
+## Features
+
+- [Deephaven](https://deephaven.io)
+- [Python](https://python.org/) scripting
+- [NLTK](https://www.nltk.org/)
+- [Deephaven Examples](https://github.com/deephaven/examples)
+
+## Launch Deephaven
+
+For launch instructions, see the [README](https://github.com/deephaven/deephaven-core#launch-python-with-example-data).  For full instructions to work with Deephaven, see the [Quick start](https://deephaven.io/core/docs/tutorials/quickstart).
+
+To launch Deephaven, execute the following in your deployment directory:
+
+```bash
+compose_file=https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/NLTK/docker-compose.yml
+curl  -O "${compose_file}"
+
+docker-compose pull
+docker-compose up -d
+```

containers/python-examples/NLTK/docker-compose.yml

@@ -0,0 +1,48 @@
+version: "3.4"
+
+services:
+  server:
+    image: ghcr.io/deephaven/server-nltk:${VERSION:-latest}
+    expose:
+      - '8080'
+    volumes:
+      - ./data:/data
+      - api-cache:/cache
+    environment:
+      - JAVA_TOOL_OPTIONS=-Xmx4g -Ddeephaven.console.type=python
+
+  web:
+    image: ghcr.io/deephaven/web:${VERSION:-latest}
+    expose:
+      - '80'
+    volumes:
+      - ./data:/data
+      - web-tmp:/tmp
+
+  grpc-proxy:
+    image: ghcr.io/deephaven/grpc-proxy:${VERSION:-latest}
+    environment:
+      - BACKEND_ADDR=grpc-api:8080
+    depends_on:
+      - grpc-api
+    expose:
+      - '8080'
+
+  envoy:
+    image: ghcr.io/deephaven/envoy:${VERSION:-latest}
+    depends_on:
+      - web
+      - grpc-proxy
+      - grpc-api
+    ports:
+      - "${PORT:-10000}:10000"
+
+  examples:
+    image: ghcr.io/deephaven/examples
+    volumes:
+      - ./data:/data
+    command: initialize
+
+volumes:
+    web-tmp:
+    api-cache:

containers/python-examples/PyTorch/README.md

@@ -0,0 +1,24 @@
+# Overview
+
+A Docker Compose deployment for [Deephaven](https://deephaven.io).
+
+## Features
+
+- [Deephaven](https://deephaven.io)
+- [Python](https://python.org/) scripting
+- [PyTorch](https://pytorch.org/)
+- [Deephaven Examples](https://github.com/deephaven/examples)
+
+## Launch Deephaven
+
+For launch instructions, see the [README](https://github.com/deephaven/deephaven-core#launch-python-with-example-data).  For full instructions to work with Deephaven, see the [Quick start](https://deephaven.io/core/docs/tutorials/quickstart).
+
+To launch Deephaven, execute the following in your deployment directory:
+
+```bash
+compose_file=https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/PyTorch/docker-compose.yml
+curl  -O "${compose_file}"
+
+docker-compose pull
+docker-compose up -d
+```

containers/python-examples/PyTorch/docker-compose.yml

@@ -0,0 +1,48 @@
+version: "3.4"
+
+services:
+  server:
+    image: ghcr.io/deephaven/server-pytorch:${VERSION:-latest}
+    expose:
+      - '8080'
+    volumes:
+      - ./data:/data
+      - api-cache:/cache
+    environment:
+      - JAVA_TOOL_OPTIONS=-Xmx4g -Ddeephaven.console.type=python
+
+  web:
+    image: ghcr.io/deephaven/web:${VERSION:-latest}
+    expose:
+      - '80'
+    volumes:
+      - ./data:/data
+      - web-tmp:/tmp
+
+  grpc-proxy:
+    image: ghcr.io/deephaven/grpc-proxy:${VERSION:-latest}
+    environment:
+      - BACKEND_ADDR=grpc-api:8080
+    depends_on:
+      - grpc-api
+    expose:
+      - '8080'
+
+  envoy:
+    image: ghcr.io/deephaven/envoy:${VERSION:-latest}
+    depends_on:
+      - web
+      - grpc-proxy
+      - grpc-api
+    ports:
+      - "${PORT:-10000}:10000"
+
+  examples:
+    image: ghcr.io/deephaven/examples
+    volumes:
+      - ./data:/data
+    command: initialize
+
+volumes:
+    web-tmp:
+    api-cache:

containers/python-examples/SciKit-Learn/README.md

@@ -0,0 +1,24 @@
+# Overview
+
+A Docker Compose deployment for [Deephaven](https://deephaven.io).
+
+## Features
+
+- [Deephaven](https://deephaven.io)
+- [Python](https://python.org/) scripting
+- [SciKit-Learn](https://scikit-learn.org/stable/)
+- [Deephaven Examples](https://github.com/deephaven/examples)
+
+## Launch Deephaven
+
+For launch instructions, see the [README](https://github.com/deephaven/deephaven-core#launch-python-with-example-data).  For full instructions to work with Deephaven, see the [Quick start](https://deephaven.io/core/docs/tutorials/quickstart).
+
+To launch Deephaven, execute the following in your deployment directory:
+
+```bash
+compose_file=https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/SciKit-Learn/docker-compose.yml
+curl  -O "${compose_file}"
+
+docker-compose pull
+docker-compose up -d
+```

containers/python-examples/SciKit-Learn/docker-compose.yml

@@ -0,0 +1,48 @@
+version: "3.4"
+
+services:
+  server:
+    image: ghcr.io/deephaven/server-sklearn:${VERSION:-latest}
+    expose:
+      - '8080'
+    volumes:
+      - ./data:/data
+      - api-cache:/cache
+    environment:
+      - JAVA_TOOL_OPTIONS=-Xmx4g -Ddeephaven.console.type=python
+
+  web:
+    image: ghcr.io/deephaven/web:${VERSION:-latest}
+    expose:
+      - '80'
+    volumes:
+      - ./data:/data
+      - web-tmp:/tmp
+
+  grpc-proxy:
+    image: ghcr.io/deephaven/grpc-proxy:${VERSION:-latest}
+    environment:
+      - BACKEND_ADDR=grpc-api:8080
+    depends_on:
+      - grpc-api
+    expose:
+      - '8080'
+
+  envoy:
+    image: ghcr.io/deephaven/envoy:${VERSION:-latest}
+    depends_on:
+      - web
+      - grpc-proxy
+      - grpc-api
+    ports:
+      - "${PORT:-10000}:10000"
+
+  examples:
+    image: ghcr.io/deephaven/examples
+    volumes:
+      - ./data:/data
+    command: initialize
+
+volumes:
+    web-tmp:
+    api-cache:

containers/python-examples/TensorFlow/README.md

@@ -0,0 +1,24 @@
+# Overview
+
+A Docker Compose deployment for [Deephaven](https://deephaven.io).
+
+## Features
+
+- [Deephaven](https://deephaven.io)
+- [Python](https://python.org/) scripting
+- [TensorFlow](https://www.tensorflow.org/)
+- [Deephaven Examples](https://github.com/deephaven/examples)
+
+## Launch Deephaven
+
+For launch instructions, see the [README](https://github.com/deephaven/deephaven-core#launch-python-with-example-data).  For full instructions to work with Deephaven, see the [Quick start](https://deephaven.io/core/docs/tutorials/quickstart).
+
+To launch Deephaven, execute the following in your deployment directory:
+
+```bash
+compose_file=https://raw.githubusercontent.com/deephaven/deephaven-core/main/containers/python-examples/TensorFlow/docker-compose.yml
+curl  -O "${compose_file}"
+
+docker-compose pull
+docker-compose up -d
+```