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https://github.com/fwkoch/python-bootcamp-2020-fastapi

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Host: GitHub
URL: https://github.com/fwkoch/python-bootcamp-2020-fastapi
Owner: fwkoch
Created: 2020-12-11T07:03:57.000Z (about 4 years ago)
Default Branch: main
Last Pushed: 2022-01-24T06:22:56.000Z (almost 3 years ago)
Last Synced: 2024-01-09T08:44:25.911Z (12 months ago)
Language: Jupyter Notebook
Size: 10.5 MB
Stars: 5
Watchers: 4
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # Microservices with FastAPI

Prepared for Calgary / Edmonton Python Bootcamp 2020

## Prerequisites

- Knowledge of Python basics

    - variables, naming convention, loops, functions, classes,

      object-oriented programming, testing, best practices

    - Attendance at sessions 1 and 2 of the bootcamp is satisfactory

- Understanding of RESTful web APIs

    - What are RESTful APIs? How do we start thinking about them

      in Python?

    - Provided by [Zero To API](https://github.com/dgmouris/zero_to_api)

## Environment

- Virtual environment with Python 3.7+ (I will probably use [conda](https://www.anaconda.com/))

- [Jupyter notebook](https://jupyter.org/) or [Google Colab](https://colab.research.google.com/)

- IDE for writing code (I will probably use [sublime](https://www.sublimetext.com/))

- Terminal for executing code (likely this is possible from the IDE, but

  I will just use basic mac terminal)

- RESTful client (I usually just use Jupyter notebooks and Python requests)

_Note:_ The setup from [Zero To API](https://github.com/dgmouris/zero_to_api#prerequistes-to-follow-the-presentation)

should be satisfactory for this presentation as well, as long as Python is

3.7+.

## Overview

- We will start by covering a few additional prerequisite topics for

  understanding FastAPI

    - [Access notebook in Google Colab](https://colab.research.google.com/drive/1xgTVIWOKUu2IlEES4aA17yPkrUxMLyex)

    - Declarative programming with [dataclasses](https://docs.python.org/3/library/dataclasses.html) and [pydantic](https://pydantic-docs.helpmanual.io/)

    - [Decorators](https://www.datacamp.com/community/tutorials/decorators-python)

    - Async with [asyncio](https://docs.python.org/3/library/asyncio.html)

- Next, we will then talk about microservices

    - Pros, cons, comparison to monolith and realistic architectures

    - No coding for this part!

- Finally, [FastAPI](https://fastapi.tiangolo.com/)!

    - What is it? Why is it great?

    - Building an example application together

    - We will consume the [NHL API](https://gitlab.com/dword4/nhlapi/-/tree/master)

    - Notebook to access API [here](https://colab.research.google.com/drive/15UVwvHS6-rUUHD53bfns_Kl4ZwZEEjP2)

        - Note: This will not actually work in Google Colab, you can only

          access `localhost` locally.