secretary | DEPRECATED Secrets management for dynamic environments | Continuous Deployment library

I have the following table named Company, it has many columns but this is the problematic one:

Every row has different number of people followed by their position in the company in brackets. We know that there are 7 possible positions: cleaner, director, manager, supervisor, secretary, HR, owner

The required result is this column to be replaced by multiple columns - one for each type of position and for each row if there was someone with this position his/her name to appear in the appropriate column. The position which is in brackets is no longer needed once names fall in the right columns, I am just leaving it in the result table to better illustrate the result. The rest of the cells can be blank N/A or whatever.

I know how to do this in python but I need to make it happen in SQL Server, which is not one of my strengths unfortunately. I looked up similar questions but I cannot make it work. Please help.

I am trying to migrate data from a Pandas DataFrame to a MySQL database table but that data has some inconsistencies that I want to work around though I have not yet figured out a way to. Any help in figuring this out will be very much appreciated.

Example of the data I have:

user_type (table)

user_df (DataFrame with the data I want to migrate to the user table)

As you can notice from the above data, the user_type_code with values c & d cannot be found in the user_type table.

What I want to achieve is to automatically insert those user_type missing data with dummy information to accommodate for the need of being corrected in the future and keep all the user records.

user_type table (how I want it to be at the end)

Fairly new to list comprehension and have the_list that I want to extract the keys of nested dictionary but I got the values instead. What am I missing or what am I doing wrong?

I'm using the PostgreSQL database and attempting to display details from the database in a JSP page using a data table. The issue here it displays only the database information but pagination, sorting and searching features are not getting implemented for the data table. I have looked for solutions but it still doesn't work.

I have an initial array of objects in the following structure:

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:

Suppose I have the following directory structure:

I have produced a couple of json files after scraping a few elements. The structure for each file is as follows:

us.json

Hello am supposed to the steps below. I have finished but getting this error

File "C:/Users/User/Desktop/question2.py", line 37, in jobtype_salary[li['job']] = int(li['salary'])

ValueError: invalid literal for int() with base 10: 'SECRETARY a. Read the file into a list of lists (14 rows, 5 columns)

b. Transform each row of the list into a dictionary. The keys are : ename, job, salary, comm, dno. Call the resulting list of dictionaries dict_of_emp

c. Display the table dict_of_emp, one row per line

d. Perform the following computations on dict_of_emp:

D1. Compute and print the incomes of Richard and Mary (add salary and comm)

D2 Compute and display the sum of salaries paid to each type of job (i.e. salary paid to analysts is 3500 + 3500= 7000)

D3. Add 5000 to the salaries of employees in department 30. Display the new table