Python on the Backend

3h 51m 33s
English
Paid

Expand your Python skills by learning how to use it on the backend. Imagine writing a website in Python or developing an API that your fellow developers can easily consume via JSON over basic HTTP. With the rise of microservices and APIs, leveraging Python for backend development is an invaluable skill. This course will equip you with the basics of web servers, including how to set up a Python web server and create compelling, dynamic applications on the backend.

What You'll Learn

By the end of this course, you will be prepared to venture into the world of backend development with Python. You will gain the skills to:

  • Develop and deploy your own services and APIs.
  • Utilize databases to read from and write data.
  • Implement sophisticated load balancing for your Python services.
  • Work with Jupyter notebooks for interactive computing and much more.

About the Author: udemy

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#1: Why Back-end Development?
All Course Lessons (29)
#Lesson TitleDurationAccess
1
Why Back-end Development? Demo
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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