Python on the Backend
3h 51m 33s
English
Paid
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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