Python on the Backend

3h 51m 33s
English
Paid
September 24, 2024

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.

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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!

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# Title Duration
1 Why Back-end Development? 06:02
2 Course Outline 04:25
3 Setup Python3 on Mac 02:53
4 Installing Tornado the Python HTTP Web Server on Mac 01:01
5 Installing Visual Studio Code and Python Extension on Mac 04:03
6 Setup Python3 on Windows 02:27
7 Installing Tornado the Python HTTP Web Server on Windows 01:01
8 Installing Visual Studio Code and Python Extension on Windows 06:02
9 HTTP Protocol 04:21
10 Building a simple GET HTTP method end point in Python 09:56
11 Serving a simple HTML file from Python Web Server (Index.html) 04:18
12 Query Parameter vs Resource Parameter 03:14
13 Building a GET end point with a query string parameter 04:34
14 Building a GET end point with resource parameters 07:12
15 Building a JSON GET endpoint that reads from a text file on the backend 03:38
16 Building a JSON POST endpoint that writes to a text file on the backend 06:34
17 Consuming the GET and POST API from Javascript/HTML 15:36
18 Building an Image Upload Service with Python 13:19
19 What is Jupyter nootbook? 09:09
20 Installing Jupyter Notebook on Mac 04:24
21 Installing Jupyter Notebook on Windows 04:22
22 Installing Jupyter Notebook on Docker 02:55
23 Working with Jupyter Notebook (Twitter example) 10:01
24 Load Balancing Python services with nginx 15:40
25 Spinning Postgres Instance with Docker 13:36
26 Database programming with Python 18:10
27 Working with MySQL in Python 20:50
28 Python and Postgres Server Side vs Client Side Cursors 17:08
29 Stateless vs Stateful Web Applications in Python 14:42

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