MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 76 Lessons (3h 43m) | Size: 1.45 GB
Course Summary
This course will show you how easy it is to consume a wide variety of web services using Python. You will be comfortable working with a variety of web and HTTP services. In addition to core package APIs, you will learn the ins-and-outs of HTTP RESTful services and their data types.
Source code and course GitHub repository
github.com/mikeckennedy/consuming_services_python_demos
What's this course about and how is it different?
The goal of this online video course is to show you how to integrate with a variety of HTTP based web services.
As you know, it's a services world out there. There are literally 1,000's of amazing APIs you can integrate into your applications. Whether it's Slack or Twilio to add communication, GitHub, Trello, or BitBucket for development and deployment, or even Stripe for payments, you can dramatically boost your application's features and power by adding services.
In addition to learning the APIs to integrate HTTP, REST, XML, SOAP services and web scraping into your application, you will learn the theory and concepts behind.
You'll even learn to work with a number of data formats including JSON, XML, HTML, SOAP (details below).
View the full course outline.
Who is this course for?
It's for people who have some programming / scripting experience and want to improve their Python knowledge. Maybe you:
Want to add services to your local apps or your web apps
Are a developer adding integration with existing services
Are a data scientists looking to harvest data from the internet
Are a developer who needs to integrate with legacy SOAP services
Would like to understand the concepts behind HTTP / REST services
If any of those descriptions fit you, then you're my target student. I wrote this course for you.
What services will we use?
We will create a number of demo applications in Python throughout this course. These applications will integrate with a variety of services and work with a number of data formats including:
GitHub (list public repos for a user)
api.github.com
Blog explorer (three versions: requests, py2, py3)
consumer_services_api.talkpython.fm
RSS Feed Reader
talkpython.fm/rss
MP3 / podcast downloader (binary file examples)
talkpython.fm
Course Playground Service
HTTP / REST version: /api/blog
HTTP / REST version (auth): /api/restricted/blog
SOAP version: /soap?wsdl
Scraping and analyzing 80 hours of transcripts on talkpython.fm
E.g.
发布日期: 2020-07-27