Python on the Backend

Python on the Backend

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 4 Hours | 1.92 GB


Learn python back end development, build a website or APIs in Python, designed for students with Mac or Windows

Do you know Python and want to take it to the next level? How about writing a website in Python, or an API so your fellow developers can consume in JSON over simple HTTP. With the boom of microservices and API, developers who are used to working with Python writing scripts can now take their knowledge to the backend. This course will teach you the basic of web servers, how to setup the Python Web server and write interesting cool applications on the backend. By the end of the course you will be read to take on the world and write your own services and APIs, read and write from databases, do sophisticated load balancing on your Python services, work with Jupyter notebooks and much much more!

What you’ll learn

  • Build cool web applications and APIs for other clients to consume
  • Learn how to serve a basic website with Python as the back end
  • Turn your existing Python libraries into web APIs to be consumed by other developers with other languages
  • Install, use and deploy Jupyter Notebooks
  • Learn how to Implement Load Balancing for your Backend Python services
  • Learn Backend Database programming with Python and PostgresSQL: connect, query, write and commit transactions.


+ Table of Contents

Introduction
1 Why Back-end Development
2 Course Outline

Getting Started Setup (Mac)
3 Setup Python3 on Mac
4 Installing Tornado the Python HTTP Web Server on Mac
5 Installing Visual Studio Code and Python Extension on Mac

Getting Started Setup (Windows)
6 Setup Python3 on Windows
7 Installing Tornado the Python HTTP Web Server on Windows
8 Installing Visual Studio Code and Python Extension on Windows

Building the Python HTTP Web Server
9 HTTP Protocol
10 Building a simple GET HTTP method end point in Python
11 Serving a simple HTML file from Python Web Server (Index.html)

Input Parameters to Python API
12 Query Parameter vs Resource Parameter
13 Building a GET end point with a query string parameter
14 Building a GET end point with resource parameters

Building Dynamic POST and GET JSON HTTP APIs
15 Building a JSON GET endpoint that reads from a text file on the backend
16 Building a JSON POST endpoint that writes to a text file on the backend

Consuming Python API from Javascript
17 Consuming the GET and POST API from JavascriptHTML
18 Building an Image Upload Service with Python

Jupyter Notebooks
19 What is Jupyter nootbook
20 Installing Jupyter Notebook on Mac
21 Installing Jupyter Notebook on Windows
22 Installing Jupyter Notebook on Docker
23 Working with Jupyter Notebook (Twitter example)

Bonus Section – Python and the Database, Docker Load balancing and more!
24 Load Balancing Python services with nginx
25 Spinning Postgres Instance with Docker
26 Database programming with Python
27 Working with MySQL in Python
28 Python and Postgres Server Side vs Client Side Cursors
29 Stateless vs Stateful Web Applications in Python