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I've recently been teaching myself python and instead of diving right into courses I decided to think of some script ideas I could research and work through myself. The first I decided to make after seeing something similar referenced in a video was a web scraper to grab articles from sites, such as the New York Times. (I'd like to preface the post by stating that I understand some sites might have varying TOS regarding this and I want to make it clear I'm only doing this to learn the aspects of code and do not have any other motive -- I also have an account to NYT and have not done this on websites where I do not possess an account)

I've gained a bit of an understanding of the python required to perform this as well as began utilizing some BeautifulSoup commands and some of it works well! I've found the specific elements that refer to parts of the article in F12 inspect and am able to successfully grab just the text from these parts.

When it comes to the body of the article, however, the elements are set up in such a way that I'm having troubling grabbing all of the text and not bringing some tags along with it.

Where I'm at so far:

I am making a menu bar, and I know how to get the hover color to change, what I am having trouble with is making it so that the .current menu item I had a red background, and the hover background-color to be american flag blue. Once I add the code for the hover it overrides the red color for some reason.

Here is the html

I have a problem consuming an api via get method. Apparently the error is in the mapping of my model, but at least for me the model is ok. If someone can help me, I would be grateful.

that's my method, i'm using get connect to access the api. _restClient refers to my base url.

I am trying to return values from a struct, different approaches weren`successful

Here is my code

I am working with some election data using pandas. I would like to know how votes from party A would transfer to parties B and C in each of the 650 seats if party A did not exist.

We assume that we know that nationally:

• to_B: 48% transfer to party B
• to_C: 32% would transfer to party C
• to_dnv: 20% would not vote

I am looking to generate a normal distribution of numbers between 0 and 1 for each seat, where:

1. The sum of each row sums to 1
2. The average of column to_B is 0.48
3. The average of column to_C is 0.32
4. The average of column to_dnvis 0.2

As an example with completely separate numbers:

Here in this manual example:

• All rows sum to 1
• The average of to_B is 0.3, which we would have defined before generation.
• The average of to_C is 0.4, which we would have defined before generation.
• The average of to_dnv is 0.3, which we would have defined before generation.

The motivation is such that later I zip together this table with another separate table I have already built which contains the election results of each seat. Then I will use these normally distributed numbers to redistribute party A's votes into party B, C and DNV.

What is the best way to go about generating such a matrix? Preferably in Pandas.

Code so far:

I am scraping the New york Times webpages to do some natural language processing on it, I want to split the webpage into paragraphs when using corpus in order to do frequency counts on words that appear in paragraphs which also contain key words or phrases .

The below works with sentences but the paragraphs are donated by a • in NYT, so I need to replace this into how corpus reads paragraphs - anyone got any idea's? I have tried gsub("•","/n",...) and gsub("•","/r/n") but this didn't work.

If anyone knows how to do this all in tm corpus's rather than having to switch between quanteda and TM that would save some code.

I just started using beautifulsoup and am stuck on an issue regarding getting attributes of tags inside other tags. I am using the whitehouse.gov/briefing-room/ for practice. What I'm trying to do right now is just get all the links on this page and append them to an empty list. This is my code right now:

Briefing: I'm working with Spring Boot, spring data and a dockerized mySQL database(community version).

• I have 2 instances of the database, one in a Raspberry Pi(Raspbian) and another in my pc (Ubuntu).
• The table i'm querying has a "time" field -> '10:00:00'
• I'm using the default findAll() method from JpaRepository.
• Ubuntu is in LMT time, set to my zone. Raspbian has GMT or UTC options, also set to my zone(+1).

TL;DR;

Problem: Time field in bbdd table is 10:00:00 in both databases

• I query the database in my pc, it returns 10:00:00.
• I query the database in the pi, it returns 11:00:00.

Makes no sense to me. Any ideas? Thanks in advance.