This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
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Using Python to Access Web Data
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- Provider Coursera
- Cost Free Online Course (Audit)
- Session In progress
- Language English
- Certificate Paid Certificate Available
- Start Date
- Duration 6 weeks long
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Syllabus
Getting Started
-In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.
Regular Expressions (Chapter 11)
-Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be quite useful and powerful.
Networks and Sockets (Chapter 12)
-In this section we learn about the protocols that web browsers use to retrieve documents and web applications use to interact with Application Program Interfaces (APIs).
Programs that Surf the Web (Chapter 12)
-In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
Web Services and XML (Chapter 13)
-In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
JSON and the REST Architecture (Chapter 13)
-In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.
-In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.
Regular Expressions (Chapter 11)
-Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be quite useful and powerful.
Networks and Sockets (Chapter 12)
-In this section we learn about the protocols that web browsers use to retrieve documents and web applications use to interact with Application Program Interfaces (APIs).
Programs that Surf the Web (Chapter 12)
-In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
Web Services and XML (Chapter 13)
-In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
JSON and the REST Architecture (Chapter 13)
-In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.
Taught by
Charles Severance
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Anonymous
a year ago
completed this course.
I have one big criticism of this class. The Python keyword "import" is never explained. The concept of "module" is never explained.
We're just told to cant this magic incantation "import re" and suddenly statements that generated traceback errors suddenly don't. Even more intriguingly, python now seems to recognize regular expressions!
Later, we're just told to cant another magic incantation "import xml.etree.ElementTree as ET" and now there are actually new data types!
How this happens is never explained.
To make this class perfec…
We're just told to cant this magic incantation "import re" and suddenly statements that generated traceback errors suddenly don't. Even more intriguingly, python now seems to recognize regular expressions!
Later, we're just told to cant another magic incantation "import xml.etree.ElementTree as ET" and now there are actually new data types!
How this happens is never explained.
To make this class perfec…
I have one big criticism of this class. The Python keyword "import" is never explained. The concept of "module" is never explained.
We're just told to cant this magic incantation "import re" and suddenly statements that generated traceback errors suddenly don't. Even more intriguingly, python now seems to recognize regular expressions!
Later, we're just told to cant another magic incantation "import xml.etree.ElementTree as ET" and now there are actually new data types!
How this happens is never explained.
To make this class perfect, you just need to add one -- just one -- lecture which explains what modules are and what importing them does. Take if from "just type this magic incantation," to "this is how we can add functions and data types and methods and expand python."
Python itself is a wonderfully-compact little language, just 33 keywords and just eight data types. Python itself can't interpret regular expressions, can't parse XML or JSON, can't convolve matrices of complex number. What makes Python such an amazing language is that one of the keywords is "import." With import, we can expand python to interpret regular expressions, parse XML or JSON, and convolve matrices of complex number too. You can even write a program that can convolve matrices of complex numbers that come from a web-based source in the JSON, all in one program. This is why it's so important to understand modules and libraries of modules and understand what import does. It shouldn't be taught as just some mysterious magical incantation.
Students should be taught that there are standard libraries of python modules available, that there are countless non-standard libraries and modules which are also available to "use at your own risk," that many companies and institutions have in-house libraries, and that they can even learn to create their own libraries if they want to (though the mechanics of this can be left to another class).
We're just told to cant this magic incantation "import re" and suddenly statements that generated traceback errors suddenly don't. Even more intriguingly, python now seems to recognize regular expressions!
Later, we're just told to cant another magic incantation "import xml.etree.ElementTree as ET" and now there are actually new data types!
How this happens is never explained.
To make this class perfect, you just need to add one -- just one -- lecture which explains what modules are and what importing them does. Take if from "just type this magic incantation," to "this is how we can add functions and data types and methods and expand python."
Python itself is a wonderfully-compact little language, just 33 keywords and just eight data types. Python itself can't interpret regular expressions, can't parse XML or JSON, can't convolve matrices of complex number. What makes Python such an amazing language is that one of the keywords is "import." With import, we can expand python to interpret regular expressions, parse XML or JSON, and convolve matrices of complex number too. You can even write a program that can convolve matrices of complex numbers that come from a web-based source in the JSON, all in one program. This is why it's so important to understand modules and libraries of modules and understand what import does. It shouldn't be taught as just some mysterious magical incantation.
Students should be taught that there are standard libraries of python modules available, that there are countless non-standard libraries and modules which are also available to "use at your own risk," that many companies and institutions have in-house libraries, and that they can even learn to create their own libraries if they want to (though the mechanics of this can be left to another class).
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Anonymous
2 years ago
completed this course.
I really enjoyed the first two courses of Dr. Chuck's Python for Everybody Specialization -- but not this one. As some other reviewers have already stated I, too, felt increasingly frustrated and somehow left alone during this course. Most of this course's assignments were way too difficult and I had to search the web for hours to find some help to solve them. Or, quite honestly, I had to cheat my way through them, because I just didn't know what to do anymore. There are of course the discussion forums where one can state one's problem - but although the staff and mentors are really quick with…
I really enjoyed the first two courses of Dr. Chuck's Python for Everybody Specialization -- but not this one. As some other reviewers have already stated I, too, felt increasingly frustrated and somehow left alone during this course. Most of this course's assignments were way too difficult and I had to search the web for hours to find some help to solve them. Or, quite honestly, I had to cheat my way through them, because I just didn't know what to do anymore. There are of course the discussion forums where one can state one's problem - but although the staff and mentors are really quick with replying (thumbs up for that), their tips are often way too general and not helpful at all.
After taking this third course I will definitely not continue with the Specialization, as I originally planned to, simply because in comparison to the first two courses, this third course is way too difficult and frustrating!
Also, in my opinion, Dr Chuck tries to squeeze in far too many different topics and different programming langauges into this course, instead of really just focusing on Python itself.
I completed this course, yes, but it left me with a very frustrated and unsatisfied feeling. I don't think I was really able to learn a lot from it, which is really a pity, since I enjoyed the first two courses so much.
Sorry for the bad feedback, but this is honestly how I felt about the course!
After taking this third course I will definitely not continue with the Specialization, as I originally planned to, simply because in comparison to the first two courses, this third course is way too difficult and frustrating!
Also, in my opinion, Dr Chuck tries to squeeze in far too many different topics and different programming langauges into this course, instead of really just focusing on Python itself.
I completed this course, yes, but it left me with a very frustrated and unsatisfied feeling. I don't think I was really able to learn a lot from it, which is really a pity, since I enjoyed the first two courses so much.
Sorry for the bad feedback, but this is honestly how I felt about the course!
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Nikita N
3 years ago
by
completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
As I mentioned in the previous reviews about this Specialisation, all these courses are meant for beginners without previous programming experience and difficulty of courses rises gradually.
Thus, the first course was a real piece of cake, second got a little tougher and this one is the first course that really took me some time to finish it. This time I really had to listen to some lectures twice, to debug my code a hell lot of times and to stick to the sample code a lot.
Students, who have programming experience might still think that this course is too slow and eas…
Thus, the first course was a real piece of cake, second got a little tougher and this one is the first course that really took me some time to finish it. This time I really had to listen to some lectures twice, to debug my code a hell lot of times and to stick to the sample code a lot.
Students, who have programming experience might still think that this course is too slow and eas…
As I mentioned in the previous reviews about this Specialisation, all these courses are meant for beginners without previous programming experience and difficulty of courses rises gradually.
Thus, the first course was a real piece of cake, second got a little tougher and this one is the first course that really took me some time to finish it. This time I really had to listen to some lectures twice, to debug my code a hell lot of times and to stick to the sample code a lot.
Students, who have programming experience might still think that this course is too slow and easy, but it is a great way for the beginner to learn python.
The only problem that seems to appear is new coursera policy, that doesn't allow you to submit assignments before you pay for the course, e.g. you can only get access to theory unless you pay. But there is a solution - Dr Chuck has created his own website to complete these courses https://www.py4e.com//
To sum up: great course, uprising difficulties, recommend to enroll after finishing previous courses. 10/10
Thus, the first course was a real piece of cake, second got a little tougher and this one is the first course that really took me some time to finish it. This time I really had to listen to some lectures twice, to debug my code a hell lot of times and to stick to the sample code a lot.
Students, who have programming experience might still think that this course is too slow and easy, but it is a great way for the beginner to learn python.
The only problem that seems to appear is new coursera policy, that doesn't allow you to submit assignments before you pay for the course, e.g. you can only get access to theory unless you pay. But there is a solution - Dr Chuck has created his own website to complete these courses https://www.py4e.com//
To sum up: great course, uprising difficulties, recommend to enroll after finishing previous courses. 10/10
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Steve S
a year ago
completed this course.
With this review, you must understand, a major part of this review is because of my interest/expectations/etc., what I was looking for from the course. If you are interested in “fully engaging” in Python, becoming a computer scientist, etc., this course if fine. Me, I’m an engineer by profession. About every 5 years, I go back and take a class to keep my programming skills up. So, my interests in programming would be about 80% math implementation, 20% string/list/character manipulation. This course was all string/list/character manipulation, I felt. So, I was turned off by the course.
With this review, you must understand, a major part of this review is because of my interest/expectations/etc., what I was looking for from the course. If you are interested in “fully engaging” in Python, becoming a computer scientist, etc., this course if fine. Me, I’m an engineer by profession. About every 5 years, I go back and take a class to keep my programming skills up. So, my interests in programming would be about 80% math implementation, 20% string/list/character manipulation. This course was all string/list/character manipulation, I felt. So, I was turned off by the course.
This course definitely isn’t a beginner Python course. You need to have had Python experience before taking this course.
Other things I will describe briefly. They are only examples.
First, I didn’t know we would get into things like XML and JSON has deeply as we did. If I wanted to learn XML or JSON, I would have taken a course on those. I was interested in learning Python, not XML and JSON.
Given that, I couldn’t understand why we were learning things in this course. I could understand much of what the programs were doing. But, “why” learn this information? Like, in one program, I felt I have done the manipulation much, much easier and faster with “copy-n-paste” and MS Excel. So, why make a Python program to do the manipulation? I couldn’t tell why.
Given that, I felt that Dr. Chuck was doing more along the lines of “forcing” this information onto us during this course. Something like, not a quote but what it seemed like, “Python can do this, so just do it. Don’t worry about learning it. Just do it.” But, then, he wants us to demonstrate our ability in the knowledge and programming at the end of the chapter?
In summary, again, if you want to get “fully engaged” in everything Python can do, aka become a computer scientist, this course will probably be good for you. But, for me, sorry, but it lacked what I look for from a programming course.
This course definitely isn’t a beginner Python course. You need to have had Python experience before taking this course.
Other things I will describe briefly. They are only examples.
First, I didn’t know we would get into things like XML and JSON has deeply as we did. If I wanted to learn XML or JSON, I would have taken a course on those. I was interested in learning Python, not XML and JSON.
Given that, I couldn’t understand why we were learning things in this course. I could understand much of what the programs were doing. But, “why” learn this information? Like, in one program, I felt I have done the manipulation much, much easier and faster with “copy-n-paste” and MS Excel. So, why make a Python program to do the manipulation? I couldn’t tell why.
Given that, I felt that Dr. Chuck was doing more along the lines of “forcing” this information onto us during this course. Something like, not a quote but what it seemed like, “Python can do this, so just do it. Don’t worry about learning it. Just do it.” But, then, he wants us to demonstrate our ability in the knowledge and programming at the end of the chapter?
In summary, again, if you want to get “fully engaged” in everything Python can do, aka become a computer scientist, this course will probably be good for you. But, for me, sorry, but it lacked what I look for from a programming course.
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Anonymous
a year ago
completed this course.
As many have said, this was a good course. I can now do so many things I couldn't do after the 2 first courses.
However, it seemed like Dr.Chuck had to much stuff to show us in a single course, that made it impossible for him to explain everything that was done, which was done in the 2 first courses.
Now it's just "type this, you won't know what it is and why you type it, but it'll make your program work". So you end up copy pasting Dr.Chuck's code without knowing what you're doing.
I would have prefered this course divided into more courses to go deeper in the modules or functions, so we can understand pretty much everything we do, and write the code from scratch. It could even have been a 12 weeks course instead of 6 and I wouldn't have minded.
All in all, i'm satisfied with what i've learned, but I had to go to many other websites to understand the course material.
However, it seemed like Dr.Chuck had to much stuff to show us in a single course, that made it impossible for him to explain everything that was done, which was done in the 2 first courses.
Now it's just "type this, you won't know what it is and why you type it, but it'll make your program work". So you end up copy pasting Dr.Chuck's code without knowing what you're doing.
I would have prefered this course divided into more courses to go deeper in the modules or functions, so we can understand pretty much everything we do, and write the code from scratch. It could even have been a 12 weeks course instead of 6 and I wouldn't have minded.
All in all, i'm satisfied with what i've learned, but I had to go to many other websites to understand the course material.
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Anonymous
3 years ago
completed this course.
I began learning Python with this course. With absolutely no prior knowledge of or experience in Python (except lots of curiosity), I came across the first two courses on Coursera.org and loved Dr Charles' videos. It's a well structured course, especially if you have just started learning about Python and wish to build your skills more practically than by mere reading of numerous resources. There are plenty of resources that Dr Chuck (as he is fondly referred to by his students) offers in the duration of the course. I especially enjoy the bonus videos that accompany this course. They really help increase your knowledge base and urge you to know and be better and try your hand at various things. I'm glad I decided to pursue the entire specialization offered by University of Michigan, and it is all thanks to Dr. Chuck!
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Jerald C
6 months ago
completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
I just completed the course. It is excellent, but needs a few bug fixes.
The Week 5 Chapter assignment references the wrong exemplar (not wrong, per se, but far more complex than a simpler example covered in the lectures that transfers better to the assignment).
This threw a lot of people and protracted completion of the exercise. A plurality of people who noticed this whined. Apparently, the course shell has not been updated in 2 years.
The code snippets reference the P4E website, which is Dr. Chuck's open source version of the course. The links to the s…
The Week 5 Chapter assignment references the wrong exemplar (not wrong, per se, but far more complex than a simpler example covered in the lectures that transfers better to the assignment).
This threw a lot of people and protracted completion of the exercise. A plurality of people who noticed this whined. Apparently, the course shell has not been updated in 2 years.
The code snippets reference the P4E website, which is Dr. Chuck's open source version of the course. The links to the s…
I just completed the course. It is excellent, but needs a few bug fixes.
The Week 5 Chapter assignment references the wrong exemplar (not wrong, per se, but far more complex than a simpler example covered in the lectures that transfers better to the assignment).
This threw a lot of people and protracted completion of the exercise. A plurality of people who noticed this whined. Apparently, the course shell has not been updated in 2 years.
The code snippets reference the P4E website, which is Dr. Chuck's open source version of the course. The links to the snippets should be given in the course shell, rather than requiring the student to navigate over to the P4E website, dive into the Resources area, then scan to find the snippet.
As one reviewer noticed, there are 2 questions in the Week 6 chapter quiz on REST, but no mention of REST in the lectures, and only a cursory mention of it in Chapter 13 of the text.
I also think that the GeoCoding example covered in the lecture videos needs to be broken down into steps. Perhaps it could be developed incrementally--showing the outputs generated and data structures used at each step. I ended up doing this myself, but I have significant prior knowledge.
There is also little use of functions in the course to-date. It might be good to enforce that as a precept of modular design and to inculcate good habits.
I used https://repl.it throughout the course, despite the recommendation that students invoke Python from the shell and use the platform agnostic Atom editor. Repl is a great learning tool and has a social component these days that has some of the collaboration functionality of forums like Slack. I think the course would run better this way.
Overall, this is one of the better classes on Python out there. I took an introductory Data Science oriented version of a Python course at Harvard and wish Dr. Chuck had been the instructor.
On to Course 4: Using Databases with Python...
jerald_cole @ alumni DOT harvard DOT edu
:-)
The Week 5 Chapter assignment references the wrong exemplar (not wrong, per se, but far more complex than a simpler example covered in the lectures that transfers better to the assignment).
This threw a lot of people and protracted completion of the exercise. A plurality of people who noticed this whined. Apparently, the course shell has not been updated in 2 years.
The code snippets reference the P4E website, which is Dr. Chuck's open source version of the course. The links to the snippets should be given in the course shell, rather than requiring the student to navigate over to the P4E website, dive into the Resources area, then scan to find the snippet.
As one reviewer noticed, there are 2 questions in the Week 6 chapter quiz on REST, but no mention of REST in the lectures, and only a cursory mention of it in Chapter 13 of the text.
I also think that the GeoCoding example covered in the lecture videos needs to be broken down into steps. Perhaps it could be developed incrementally--showing the outputs generated and data structures used at each step. I ended up doing this myself, but I have significant prior knowledge.
There is also little use of functions in the course to-date. It might be good to enforce that as a precept of modular design and to inculcate good habits.
I used https://repl.it throughout the course, despite the recommendation that students invoke Python from the shell and use the platform agnostic Atom editor. Repl is a great learning tool and has a social component these days that has some of the collaboration functionality of forums like Slack. I think the course would run better this way.
Overall, this is one of the better classes on Python out there. I took an introductory Data Science oriented version of a Python course at Harvard and wish Dr. Chuck had been the instructor.
On to Course 4: Using Databases with Python...
jerald_cole @ alumni DOT harvard DOT edu
:-)
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Anonymous
3 years ago
completed this course.
It's a very good course for many reasons. I learnt practical skills easily. It is always fun listening to dr Chuck who always says interesting and useful things. Although I think that the edX/MIT course I took was excellent, I think dr Chuck does amazing job and he is number 1 for me (he's my HERO, I love him!)
Maybe the assignments were a bit to easy, but I think there were like a guidance for us to know how to start and what to learn. In my opinion there was not enough about urllib, but it's up to us whether we want to learn it or not and the course wasn't the best place for it (I'm going to learn all the library/modules used by dr Chuck)
I think I've learnt amazing skills already thanks to dr Chuck.
Maybe the assignments were a bit to easy, but I think there were like a guidance for us to know how to start and what to learn. In my opinion there was not enough about urllib, but it's up to us whether we want to learn it or not and the course wasn't the best place for it (I'm going to learn all the library/modules used by dr Chuck)
I think I've learnt amazing skills already thanks to dr Chuck.
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Anonymous
2 years ago
completed this course.
The only caveat I have with the course is the impossibility to audit and do the assignments (don't care about submitting them, but having access to the prompts would be nice). Luckily, Dr. Chuck has made those available somewhere else. That said, it builds nicely on top of the previous courses and increases the difficulty in a gradual manner. I would say here you will find to start going back and forth making sense of the earlier lessons and combining what you learned to make the assignments come to life. Nevertheless, it is possible to do that, and you will learn that the first two were indeed a good stepping stone for the ones to follow. Thank you, Dr. Chuck!
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Anonymous
a year ago
is taking this course right now.
Although my specialty is zoology, I signed up and paid for this course (one in a series offered by them) to learn a little about Python which intrigued me for some reason.
The course gives a somewhat disjointed, quick overview of using Python to access web data, but Professor Severance does try to touch shallowly on a good array of the relevant subject matter.
The real sin, however, (and the entire reason I’m taking the time to post this review) is to be found in the course’s abomination of a forum, where the “teaching assistants” are aggressively unhelpful. A teach…
The course gives a somewhat disjointed, quick overview of using Python to access web data, but Professor Severance does try to touch shallowly on a good array of the relevant subject matter.
The real sin, however, (and the entire reason I’m taking the time to post this review) is to be found in the course’s abomination of a forum, where the “teaching assistants” are aggressively unhelpful. A teach…
Although my specialty is zoology, I signed up and paid for this course (one in a series offered by them) to learn a little about Python which intrigued me for some reason.
The course gives a somewhat disjointed, quick overview of using Python to access web data, but Professor Severance does try to touch shallowly on a good array of the relevant subject matter.
The real sin, however, (and the entire reason I’m taking the time to post this review) is to be found in the course’s abomination of a forum, where the “teaching assistants” are aggressively unhelpful. A teaching forum is intended to be a resource for students who have hit a wall in an assignment and need a few well-placed words of guidance to get them over a hump, but there is none of that found here.
Right around week 5 of this 6 week course was an assignment that a fair number of students had trouble with (judging by the number of questions in the forum) . I read several student to teaching assistant exchanges on the forum where a student just couldn’t figure out that bit of code with the vague “guidance” they had received, and when they had the temerity to persist with their questions, were cut off at the knees by the teaching assistant, and instructed to stop asking . . Really condescending, uncalled for, and shocking, quite frankly, in an educational setting.
I would highly recommend that if you want to learn to use Python to access web data, or any of the other courses in the Python for Everybody series at the University of Michigan, you seek out some other, more professionally run courses where you can get actual assistance if you have a question. There are certainly plenty to choose from.
The course gives a somewhat disjointed, quick overview of using Python to access web data, but Professor Severance does try to touch shallowly on a good array of the relevant subject matter.
The real sin, however, (and the entire reason I’m taking the time to post this review) is to be found in the course’s abomination of a forum, where the “teaching assistants” are aggressively unhelpful. A teaching forum is intended to be a resource for students who have hit a wall in an assignment and need a few well-placed words of guidance to get them over a hump, but there is none of that found here.
Right around week 5 of this 6 week course was an assignment that a fair number of students had trouble with (judging by the number of questions in the forum) . I read several student to teaching assistant exchanges on the forum where a student just couldn’t figure out that bit of code with the vague “guidance” they had received, and when they had the temerity to persist with their questions, were cut off at the knees by the teaching assistant, and instructed to stop asking . . Really condescending, uncalled for, and shocking, quite frankly, in an educational setting.
I would highly recommend that if you want to learn to use Python to access web data, or any of the other courses in the Python for Everybody series at the University of Michigan, you seek out some other, more professionally run courses where you can get actual assistance if you have a question. There are certainly plenty to choose from.
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Anonymous
8 months ago
completed this course.
This third course applies and builds on the basic knowledge from the first two python courses. Especially interesting is the information on regular expressions, which kicks this course off. Following this the course gears up into a higher transmission focusing on using python with web browsers and reading webpages. Beautiful Soup gets covered as well as how to deal with XML data. So far so good.
Unfortunately the course loses itself suddenly in Java Script Object Notation and dealing with Twitter and Google Maps to the point where the amount of knowledge required does not match t…
Unfortunately the course loses itself suddenly in Java Script Object Notation and dealing with Twitter and Google Maps to the point where the amount of knowledge required does not match t…
This third course applies and builds on the basic knowledge from the first two python courses. Especially interesting is the information on regular expressions, which kicks this course off. Following this the course gears up into a higher transmission focusing on using python with web browsers and reading webpages. Beautiful Soup gets covered as well as how to deal with XML data. So far so good.
Unfortunately the course loses itself suddenly in Java Script Object Notation and dealing with Twitter and Google Maps to the point where the amount of knowledge required does not match the content and quality of the classes.
Also ' dr. Chuck' seems more and more concerned with his self-promotion in the bonus video material that is provided each week, rather than focusing only on content. The age of the material (the course was ' shot' in 2015) also starts to show with the assignments that often lack sufficient information for students with English as a second language or jump into a level of complexity that is possible more than the basic student can understand.
Unfortunately the course loses itself suddenly in Java Script Object Notation and dealing with Twitter and Google Maps to the point where the amount of knowledge required does not match the content and quality of the classes.
Also ' dr. Chuck' seems more and more concerned with his self-promotion in the bonus video material that is provided each week, rather than focusing only on content. The age of the material (the course was ' shot' in 2015) also starts to show with the assignments that often lack sufficient information for students with English as a second language or jump into a level of complexity that is possible more than the basic student can understand.
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Anonymous
3 years ago
completed this course.
"Using Python to Access Web Data" was definitely more challenging than its predecessors in the specialization but it gave me a good taste for how even a simple program in Python can reach out to the world, access meaningful data, and do something useful with it. I would find to be helpful additional programming examples and/or code which used more of the built-in functions offered by a touched-on library, such as urllib and json. Review of the Python programming manuals reveal a seemingly immense amount of functionality and if this course explored a bit more in those areas, I'd feel more enriched. Maybe some of the largely extraneous "office hours" segments could be replaced with on-topic educational content.
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Elena S
3 years ago
by
completed this course, spending 6 hours a week on it and found the course difficulty to be medium.
I moved to the US a couple years ago and started my career from scratch in completely different sphere - Quality Assurance. I never supposed myself to be a technical person and felt uncomfortable with IT things. I have in my head the combination of tech terms and tools mixed up with huge gaps, this course helped me to systematize my knowledge and feel more confident and engaged with what I am doing. I completed 3/4 sessions and would rate the first two 5 stars, and probably give a little bit less, 4 stars, to the third one, only because sometimes I had to find on the Internet additional materials which were not covered by lecture and course materials to complete my assignments.
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Anonymous
2 years ago
completed this course.
Awesome course, allows you to understand and experience the fundamentals of the possibilities in connecting your program to networks, applications and platforms. I have designed systems for years, administrated large business platforms, and hired hundreds of developers... but I wanted to experience and see what building code is all about from a developer standpoint, not just a DevOp/Executive/Managerial side. I am now moving forward to the next classes on Python. Thanks everyone at the UofM/Coursera! If you are a CTO or Software Company Executive, this is well worth the time to gain tremendous fundamentals experience and knowledge of Python, which is part of what makes any technological business work under the hood.
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Anonymous
5 months ago
completed this course.
The 3 installment of the specialization deals with getting, parsing and reading data from the internet, specifically data in XML and JSON formats.
In comparison with the previous 2 chapters, this one feels quite rushed and overwhelming. Now, I completely understand that it's not possible to explain every single thing in a beginner's course, historically and functionality wise but I couldn't help feeling a bit dumb having to copy-paste some import statements in order to complete the assignments.
There's a lot more to talk about on the topic and I fully agree that the c…
In comparison with the previous 2 chapters, this one feels quite rushed and overwhelming. Now, I completely understand that it's not possible to explain every single thing in a beginner's course, historically and functionality wise but I couldn't help feeling a bit dumb having to copy-paste some import statements in order to complete the assignments.
There's a lot more to talk about on the topic and I fully agree that the c…
The 3 installment of the specialization deals with getting, parsing and reading data from the internet, specifically data in XML and JSON formats.
In comparison with the previous 2 chapters, this one feels quite rushed and overwhelming. Now, I completely understand that it's not possible to explain every single thing in a beginner's course, historically and functionality wise but I couldn't help feeling a bit dumb having to copy-paste some import statements in order to complete the assignments.
There's a lot more to talk about on the topic and I fully agree that the content has to be shrunk to a minimum in order to give a high-level overview of the subject but it could be of great help to the course if there were more assignments, more worked exercises, more lectures that go in further detail.
In the final part of the course, the examples are of reading data from Twitter and Google Maps. In theory, it sounds great and exciting, but in reality, I think it's an overkill for the purpose of the course. There's just too much stuff for a complete noob such as myself. Just a month ago, we were learning what's a dictionary and now we're going through nested dictionaries within lists within dictionaries... quite the jump. Adding to this - explaining what's an API is not done good enough. I only know what APIs do because in work in a SaaS company. If I only had the explanation the course provides, I would be immensely confused.
I'm not trying to say programming is easy, not at all. This particular course though can be done better, so it's easier for students to follow, I'm sure.
As usual, Dr. Chruck is great and it's a pleasure to have him as the tutor here.
I'll continue with the specialization and I hope course 4 will be structured better than this one. :)
Cheers and good luck!
In comparison with the previous 2 chapters, this one feels quite rushed and overwhelming. Now, I completely understand that it's not possible to explain every single thing in a beginner's course, historically and functionality wise but I couldn't help feeling a bit dumb having to copy-paste some import statements in order to complete the assignments.
There's a lot more to talk about on the topic and I fully agree that the content has to be shrunk to a minimum in order to give a high-level overview of the subject but it could be of great help to the course if there were more assignments, more worked exercises, more lectures that go in further detail.
In the final part of the course, the examples are of reading data from Twitter and Google Maps. In theory, it sounds great and exciting, but in reality, I think it's an overkill for the purpose of the course. There's just too much stuff for a complete noob such as myself. Just a month ago, we were learning what's a dictionary and now we're going through nested dictionaries within lists within dictionaries... quite the jump. Adding to this - explaining what's an API is not done good enough. I only know what APIs do because in work in a SaaS company. If I only had the explanation the course provides, I would be immensely confused.
I'm not trying to say programming is easy, not at all. This particular course though can be done better, so it's easier for students to follow, I'm sure.
As usual, Dr. Chruck is great and it's a pleasure to have him as the tutor here.
I'll continue with the specialization and I hope course 4 will be structured better than this one. :)
Cheers and good luck!
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Yes
Sebastien K
3 years ago
I have started a year ago the first module "Programming for Everybody (Getting Started with Python)", then I was very enthusiast and took the second module "Python Data Structures", then... a lot of professional changes, no time to continue.. but few weeks ago I thought, I really want to try this third module "Using Python to Access Web Data", and honestly it was very great, what I have learned is just amazing what you can do with so little program in Python! I will definitively try the fourth module "Using Databases with Python" even if my time is counted. Maybe a capstone at the end, not sure yet but would definitively be a "+" to get some experience. I recommend all the courses with Dr. "Chuck", definitively!
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Antoine C
3 years ago
completed this course, spending 1 hours a week on it and found the course difficulty to be easy.
Dr. Chuck's explanations are clear and all the lessons are easy to follow: focus on relevant web technologies, perfect pace, examples based on popular APIs.
As someone with some basic knowledge in programming already I was expecting the assignments to be more challenging. As clearly announced on the website this course is targeted at beginners who took the previous courses from the same teacher: all exercises can be solved in about 10-15 lines of code and the solutions can be directly applied from the videos without much further thinking. The rest of you will, like me, breeze through it in no time.
Kudos for the extremely interesting interview videos proposed as bonus material!
As someone with some basic knowledge in programming already I was expecting the assignments to be more challenging. As clearly announced on the website this course is targeted at beginners who took the previous courses from the same teacher: all exercises can be solved in about 10-15 lines of code and the solutions can be directly applied from the videos without much further thinking. The rest of you will, like me, breeze through it in no time.
Kudos for the extremely interesting interview videos proposed as bonus material!
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Anonymous
3 years ago
completed this course.
Great instructor, great class, and very easy to follow. I learned a LOT!
My only critique, is that many times when I am trying to fully understand how some code works within the presentation, the presentation will suddenly show the instructor speaking briefly, and then go back to the code. We don't need to see Steve. When he's trying to explain how code works during the presentation, just show the code. This allows me to understand what's going on while he's still speaking. Otherwise I need to pause the video, and by that point I'm no longer focused on what he was talking about.
Otherwise, this course is near perfect, and I've learned a ton from it. Thanks!
My only critique, is that many times when I am trying to fully understand how some code works within the presentation, the presentation will suddenly show the instructor speaking briefly, and then go back to the code. We don't need to see Steve. When he's trying to explain how code works during the presentation, just show the code. This allows me to understand what's going on while he's still speaking. Otherwise I need to pause the video, and by that point I'm no longer focused on what he was talking about.
Otherwise, this course is near perfect, and I've learned a ton from it. Thanks!
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Yes
Anonymous
2 years ago
completed this course.
This course have a very interesting and perspective topic - Python mostly is used as a scripting language and there is a lot of web-page parsers around the Web based on Python. My expectations were high. However, the course lectures touches the topic "Access Web Data" very superficial.
Week 2 starts with the regular expressions (week 1 is just a Python installation guide) and I have nothing to say about this weeks material - its useful, I even wrote my first excel file parser using regex after finishing this week.
Week 3 is about sockets and HTTP and how to deal with…
Week 2 starts with the regular expressions (week 1 is just a Python installation guide) and I have nothing to say about this weeks material - its useful, I even wrote my first excel file parser using regex after finishing this week.
Week 3 is about sockets and HTTP and how to deal with…
This course have a very interesting and perspective topic - Python mostly is used as a scripting language and there is a lot of web-page parsers around the Web based on Python. My expectations were high. However, the course lectures touches the topic "Access Web Data" very superficial.
Week 2 starts with the regular expressions (week 1 is just a Python installation guide) and I have nothing to say about this weeks material - its useful, I even wrote my first excel file parser using regex after finishing this week.
Week 3 is about sockets and HTTP and how to deal with network in Python. Network is a one big separate topic, I understand that, but some more deep explanation how to use Pythons socket module required.
For example, I still have a very vague idea what this line of code does socket.socket(socket.AF_INET, socket.SOCK_STREAM)), and same things about Carriage Return and Linefeed - not explained, but used in the code examples.
Week 4 is about using urllib and BeatifulSoup to parse HTML
The main question for me was about using as an example pages, that are ready-to-be-parsed and there is a lot of code provided with the course materials. For better learning it is good to rewrite all by yourself. Also big question about Secure Socket Layer - it is in the provided code, but, again, not explained nor in videos or by the book.
Weeks 5 and 6 about parsing XML and JSON, using APIs. And for me Week 2, 5 and 6 were the most useful, but a bit more details about some code that is used in the files provided and more real-world-examples can make this course better.
PS: some code needs to be updated in the course files, but it is more challenging and interesting to do it by yourself.
Week 2 starts with the regular expressions (week 1 is just a Python installation guide) and I have nothing to say about this weeks material - its useful, I even wrote my first excel file parser using regex after finishing this week.
Week 3 is about sockets and HTTP and how to deal with network in Python. Network is a one big separate topic, I understand that, but some more deep explanation how to use Pythons socket module required.
For example, I still have a very vague idea what this line of code does socket.socket(socket.AF_INET, socket.SOCK_STREAM)), and same things about Carriage Return and Linefeed - not explained, but used in the code examples.
Week 4 is about using urllib and BeatifulSoup to parse HTML
The main question for me was about using as an example pages, that are ready-to-be-parsed and there is a lot of code provided with the course materials. For better learning it is good to rewrite all by yourself. Also big question about Secure Socket Layer - it is in the provided code, but, again, not explained nor in videos or by the book.
Weeks 5 and 6 about parsing XML and JSON, using APIs. And for me Week 2, 5 and 6 were the most useful, but a bit more details about some code that is used in the files provided and more real-world-examples can make this course better.
PS: some code needs to be updated in the course files, but it is more challenging and interesting to do it by yourself.
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Yes
Anonymous
2 years ago
completed this course.
I found this course challenging in a good way. It definitely ramps up the difficulty a bit from the prerequisite courses. However it is still quite approachable. I learned a lot. My only suggestion for improvement would be to directly reference the python documentation a bit more in the lectures (as a gentle invitation to reading more and discovering the more advanced capabilities) Of course you could do this on your own, but pointing out interesting landmarks to the uninitiated makes every journey better.
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