Getting started @ nextpart

Tools

Development

• Versioning: git
• Python - Fastapi
  • python dependency management: poetry
  • linting: pylint & flake8
  • formatting: black
• JavaScript - Svelte.js
  • linting & formatting: eslint & prettier
• Editor: vscode

DB's

• Graph: arango
• Relational: postgres
• Blob: minio

Infrastructure

• docker-compose
• kubernetes

Services

• Azure DevOps - PM, Repos & Pipelines

If you want a headstart

STIX

Our datamodel, spec can be found here, a more non-formal intro here. Latter one is recommended as first read, specs only for the brave / bored. Additionally within this repository there is a mini notebook (located under /python/stixdemo) demonstrating the stix datamodel in action.

To run the demo:

1. Clone this repository: git clone https://github.com/nextpart/hello.git
2. Ensure you have installed the following:
   • python3.8
   • poetry
   • vscode with python extension and jupyter extension
3. run cd /python/stixdemo
4. configure poetry by running poetry config virtualenvs.in-project true
5. run poetry install
6. Reopen vscode: to activate new venv
   hint: hit ⌘ Command / Ctrl + Shift + P and execute 'Reload Window' command
7. Open demo.ipynb and click 'Run All'
   hint: ensure you selected the correct kernel for the notebook, this should happen automatically but sometimes doesn't work

This will also introduce you to our tool for dependency management (poetry).

Decorators (Python)

We often utilize decorators as they are a powerful and easy way to abstract functionality.

A good Intro can be found here.