When I first learned how to interface Python with the multitude of web services and data sources on the internet, a whole new world of automation opened up for me.
Python is a fantastic language to connect different services and to process data from all kinds of sources. But trying to find good tutorials on how to work with these services and their variety of data formats had me smacking my head against the table... That is until I found "Consuming HTTP Services in Python".
What I love about Michael's course is that it covers the whole spectrum-from web scraping with BeautifulSoup to parsing JSON from well-structured RESTful APIs.
So whether you're dealing with plain binary data, JSON or XML encoded responses, or even SOAP services, the course always has your back.
"Consuming HTTP Services in Python" is organized well and easy to follow along. Michael's delivery as an instructor clear and to the point. The editing work is excellent. As a result I can highly recommend this course for anyone wanting to learn more about interfacing with data sources on the web using Python
Michael makes it very easy to follow along in the beginning of the courses. Everyone learns differently, but one of the ways I learn best is to follow along by typing the code as he does in the video, helping me commit it to memory.
The course is well organized, easy to follow, and full of practical real life examples. I very much recommend this course especially to Python beginners, since this will possibly save a lot of time when getting started with the language and its ecosystem. There’s something new to learn for more seasoned Python developers, too.
One of the challenges of self-paced online learning is if you get stuck it can be hard to get help to get yourself unstuck.
That's why we offer live, online office hours. You drop in and join a group of fellow students to chat about your course progress and see solutions via screen sharing.
Just visit your account page and click the office hours tab to see the upcoming office hour schedule.