Scraping Numbers from HTML using BeautifulSoup In this assignment you will write a Python program

Scraping Numbers from HTML using BeautifulSoup In this assignment you will write a Python program similar to http://www.py4e.com/code3/urllink2.py. The program will use urllib to read the HTML from the data files below, and parse the data, extracting numbers and compute the sum of the numbers in the file. 

We provide two files for this assignment.  One is a sample file where we give you the sum for your testing and the other is the actual data you need to process for the assignment. 

You do not need to save these files to your folder since your program will read the data directly from the URL. Note: Each student will have a distinct data url for the assignment – so only use your own data url for analysis. 

Data Format 

The file is a table of names and comment counts.   You can ignore most of the data in the file except for lines like the following: 

Modu90
Kenzie88
Hubert87

You are to find all the tags in the file and pull out the numbers from the tag and sum the numbers. 

Look at the sample code provided.  It shows how to find all of a certain kind of tag, loop through the tags and extract the various aspects of the tags. 

...
# Retrieve all of the anchor tags
tags = soup('a')
for tag in tags:
  # Look at the parts of a tag
  print 'TAG:',tag
  print 'URL:',tag.get('href', None)
  print 'Contents:',tag.contents[0]
  print 'Attrs:',tag.attrs

You need to adjust this code to look for span tags and pull out the text content of the span tag, convert them to integers and add them up to complete the assignment. 

Sample Execution 

$ python3 solution.py
Enter - http://py4e-data.dr-chuck.net/comments_42.html
Count 50
Sum 2...

Turning in the Assignment 

Enter the sum from the actual data and your Python code below:
Sum:  (ends with 25)
Python code:

cyberbullying: an exploratory analysis of factors related to offending and victimization

Textbook Chapter 9: Cyberbullying, Online Harassment and Cyber Stalking.

1. To what area(s) of which chapter does the work most closely relate?

2. What does(do) the author(s) set forth as their thesis in the piece?

3. What subjects does the work regard: people, entities, industries, political bodies, demographic groups, etc.?

4. What journal was it published in, and when?

5. **Key** How can you apply their work to your academic and professional understanding of DF?

6. What did the author(s) get right? Wrong? How could they have expanded/focused their scope?

· No Plagiarism 

· Should be 400 words without References.

Cloud Computing

1. Write a 2-3 page paper where you compare and contrast the differences between Identity as a Service, Infrastructure as a Service and Identity Access Management. The submission needs to include a minimal of 3 scholarly resources in APA format.

2. Define and describe Platform as a Service. In the description be sure to list the benefits and potential disadvantages. Locate an article that supports the benefits of PaaS in an organization and/or the failures of PaaS implementation. Be sure to cite in APA format. 

No plagiarism

Footpriting

After responding to the weekly discussion topic on FOOTPRINTING, you now have an idea as to how to conduct a digital investigative project. For this assignment, you are asked to develop your own crime scenario. Explain the incident that occurred, and then list the steps you would follow to solve this case (examples might include: a lost child, an unauthorized charge on your credit card, an unidentified charge made with your EZ PASS, etc.).

Data Systems

Throughout the chapter, you have reviewed various examples of B2B and B2C stores where 1-1, 1-M, and M-M relationships are portrayed. Can you provide example use cases where a business would need data to be fairly rigid, applying a 1-1 model? How about fairly lenient, applying a M-M model?

Instructions:

  • Apply and use the basic citation styles of APA is required. Points are deducted per the rubric for this behavior.
  • Do not claim credit for the words, ideas, and concepts of others. Use in-text citation and list the reference of your supporting source following APA’s style and formatting. Points are deducted per the rubric for this behavior.

Please read question in comment section.

300 Words:

 

The  mode of entry a company chooses to enter international markets depends  on a variety of factors including the nature of the company’s strategic  objectives. Select a well-known company that competes in the  international markets.

What was the company’s mode of entry?

What was the entry designed to achieve?

Finally identify two advantages and two disadvantages to the entry mode chosen by the company.

Incorporate our coursework (Thompson text and other material) from this week into your above responses.

  

Need Plagiarism report.

Discussion 2

 Several Big Data Visualization tools have been evaluated in this weeks paper.  While the focus was primarily on R and Python with GUI tools, new tools are being introduced every day.  Compare and contrast the use of R vs Python and identify the pros and cons of each. Provide an example of both programming languages with coding examples as well as your experience in using one or both programming languages in professional or personal work. If you have no experience with either language, please discuss how you foresee using either/both of these languages in visualizing data when analyzing big data. 

Blockchain and cryptocurrency

 In chapter 6, the author describes twelve disruptions to existing markets.Choose one of the disruptions discussed in chapter 6, and explain how you think it will impact today’s economy, and provide at least two real examples of the chosen disruption being realized with blockchain technology today.  Then think of three questions you’d like to ask other students.

Python code test with screenshot needed

I do have everything just need someone to run it for me and provide screenshots with steps how it was executed, that is all. I don’t have the required PC so that is why I need someone to make this for me.