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https://github.com/juliencrn/data-sci-sandbox-example

Example of data-science project - could be used as a starter
https://github.com/juliencrn/data-sci-sandbox-example

bot data-science docker jupyter-notebook python trading trading-bot

Last synced: 28 days ago
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Example of data-science project - could be used as a starter

Host: GitHub
URL: https://github.com/juliencrn/data-sci-sandbox-example
Owner: juliencrn
Created: 2022-09-16T11:02:13.000Z (over 2 years ago)
Default Branch: master
Last Pushed: 2022-09-16T11:04:11.000Z (over 2 years ago)
Last Synced: 2024-10-12T01:05:32.282Z (3 months ago)
Topics: bot, data-science, docker, jupyter-notebook, python, trading, trading-bot
Language: Jupyter Notebook
Homepage:
Size: 8.79 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

# Python data science sandbox

Repo initial created from the "Python for Algorithmic Trading" book by Yves Hilpisch (O'Reilly).

## Get started

### Requirements

```sh
# Generate RSA keys to secure web services
openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout mykey.key -out mycert.pem
```

### Installation

All the installation process is written in the `./install.sh` file.

#### 1. Using Docker

If you want run it locally, use the Docker image (that is calling the install script internally):

```sh
# build the image
docker build -t sandbox .

# run the container
docker run -it sandbox /bin/bash
```

#### 2. Using a cloud instance

Start from `ubuntu` and upload the `./setup.sh` file (that is calling the install script internally), then:

```sh
chmod +x ./setup.sh
./setup.sh 134.122.74.144 # use your cloud instance IP
```