Course is great! Good explanations and perfect slides. However at week 6 professor had some difficulty explaining twitter API. It was hard to understand even for students with experience in python. Also want to mention that course is for explanation purposes and for beginners. You will learn a lot and it is still not enough to go and get a job in this field. So after completing this course, you should take more advanced courses and learn more!

This is a great course to get you started on using Python to access web data. The course has lots of examples and Professor Severance breaks down the concepts into smaller components that are easy to learn. It is highly recommended that students download the course material and review the code examples along with the presentations. That pratical experience reinforced a deeper understanding that made the assignments much easier to complete.

An amazing course content!! This is a very enjoyable course about Python language programming. Dr Chuck explains each topic with clarity, which facilitate the comprehension of Python from the beginning. In my personal point of view, I would like to have a more deeply exploration in topics. It could give more tools to learn and complexity to each assignment. The book as supported material is a very good resource for consult through all course.

I found the worked examples to often be overly abstracted from the assignments. This resulted in me needing to look up how to do problems because I was stumped, only to discover that it was very easy and would have been solvable if some key information had been included in the lectures. I walked away feeling frustrated and incompetent despite completing the assignments because I was never able to figure out how to do them entirely on my own.

I learnt very good things that Python can handle data mining from the web pages using the APIs. Parsing of data from the source code of web pages whether it is in the format of HTML or XML or JSON etc., using URL libraries is very much interesting. Once the underlying data is captures from the web pages, it can be interpretted and alalysed in way suitable to our application or requirements. I think it is major benefit of using Python code.

The course is great although a little bit simple or slow-paced. But since it is for beginners I think it is Ok the way it is. You will learn the foundations of accessing the Web Data, so it is a really great starting point. You will enjoy and you will want to learn even more!

Dr. Chuck is a great teacher whom I would loved to have at class. He explains things quite clearly, in a funny way and he transmits passion in what he is teaching.

In the last two weeks things started getting a bit too complicated and Dr. Chuck didn't actually explain everything a learner would need to understand what is going on there... While doing the assignment, yes, I admit that I finished all of them, but BASED ON SAMPLE CODES without a full understanding of some non-trivial details. Therefore I am pretty sure without those sample codes I would not be able to finish the assignments.

I found that some parts of the course were confusing. You really have to take the time to read documentation to do the assignments, which was difficult with my busy schedule. (And just because you read the documentation doesn't mean that you understand the code!) Overall, I learned a lot and still recommend the course - just wish there was less background and more explanation of the actual codes that you can use while parsing.

These courses are great introductions to python functionality. The workload is much more reasonable at 1-2 hours per week than many other Coursera courses that I have taken.

My only recommendation is to show more current libraries and methods than those presented in the lectures. Fundamentals are important to understanding concepts, but if there are newer and better ways of doing things, they should be presented as well.

Great course, very interesting, but I find this part of the program should be optional, since not all the people is interested in retrieveing data from the internet; besides, these are controlled practices. In the real world it's a little bit more tricky to obtain information from an API and extracting data from a website. Perhaps, this module should be in a different course of its own. That'd be quite interesting to see.

Another great course by Dr. Chuck. This one I think it started in a good way, but in the end it got a little superficial. It looked like we've got to take those ready codes and just make some modifications - looking at the "logical" side, it may be a good idea, but I missed some "code from the zero".

Despite that, I would like to thank Dr. Chuck, the greatest educator I know.

sorry for my bad English :) (or not hahaha)

Everything looks perfect but when it comes to xml,json and api, you need to explain it really in detail. That's a bunch of codes and you are explaining very less. I need to study it thoroughly with the help of internet. But, thanks to the instructor atleast he has exposed me to the hidden world of web. I can read it on internet after knowing these terms. Atleast now i have feel for these hidden world of web services.

A few parts are not explained clearly as the Lecture materials were going really deep. However, the assignment was not covered that much. Sometimes I just want to know more about that topic but I don't know how to. I know there's an E-book in py4e.com, but I think it will be better to put some non-compulsory materials in the related weeks. Just a little thought and thanks for making suck a good course.

It's a very practical course. The course is in a good pace. The contents are broken into smaller pieces. Thank you Dr. Chunk for making Python+WebData easy and fun to learn. One little thing I wish was the slides and code could be shown for a longer time, or constantly showing on the screen as the two earlier python course. Currently I had to pause the video couple times to digest the slides or code.

would love to have practice examples other than just the assignments if possible. That way we get the confidence to write the code without having to refer to the code shared. Additionally, it would be nice if an editor with intellisense is recommended. This otherwise feels like writing in notepad for C Programming language where you had to know each and every library detail and syntax was unforgiving.

Compared to the rest of the courses, I felt this one was the hardest, that I was somewhat booted into the deep end and had to figure out how to make things work on my own as compared to the others where what to do and what was being taught was very obvious, nonetheless it's still good

It would be much better if you could go into greater depth and explain more about using Python to access the web

Pretty challenging course and it is really a harsh but precious experience to understand the key concepts, what the relationship between different syntaxs and the server is, and deal with the assignments. The only problem is that the gap between this course and the previous course is so large that I was even confused by huge amount of new terms and programs and did not know what to do at first.

We were provided with codes after week 5 in which we had to make changes. It made the assignment easy. I would have loved the course if the parts of code which were provided in last were explained properly instead of giving just a brief idea. For others who are opting this course i would advice them to search the net for the parts which were not explained in the video for better understanding

I love the short lecture videos, as well as the worked exercises one. They are very insightful. I also find it interesting that the professor takes time to explain other concepts like the HTTP protocol, xml, json and APIs. I just got a little frustrated about the amount of times we are just asked to copy and paste some sample code without understanding how it works (e.g. ssl, api keys).

This is a simple, practical course that will teach the basics of how to access web resources with python programs.

The goal is not teaching you how to write nice programs, but just enable you to write something working to pull interesting data out of existing data sources like files and web services providing text, XML and JSON data.

The videos also feature some interesting background.

Lots of ambiguity at some points. Very helpful info though. Some of the discussion forum questions could have been answered in more helpful tone. I didn't write anything but read thru to get tips on assignments.

Moderator needs to understand people are taking this course after 8 hours of work, spending time with family and stopping and going. The retention and pick up is a challenge.

Very good course for beginners. I liked the lectures, they were engaging and bonus videos are nice addition. Exercises were maybe too easy, but still for a beginners course just right. The only problem is there is less practical work than it should be, adding more exercises would be nice, and adding more difficult ones would help better grasp the material. That's why only 4 stars.

I was looking for a web scrapping kick off in python and come across this one of its own kind course. It is really a very good course not only focusing on practical and applied side but also giving a good start/refresher of internet technology, making a good good background. Interviews of relevant major break throughers are also on spot. A highly recommended course for starters.

This course was very well set up, and easy for a person with a reasonable knowledge of Python basics to understand.

I would have appreciated a little more in-depth assignments, or perhaps two-stage assignments that delved a little more deeply into JSON and XML use, to expand upon the concepts learned in the first.

Overall a fantastic intro to interacting with web data with Python.

As usual, I love Dr. Chuck's courses. But this course felt a lot harder to understand for me. Personally, I still couldn't get a grasp of those URLLIB, JSON-type things properly. It's maybe my fault, but still I couldn't understand properly when to import what. This would be a lot more helpful if I could understand some complex principles about importing these and some headings.