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Python on the Backend

3h 51m 33s
English
Paid

Course description

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.

Read more about the course

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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#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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