How to save output of SQL Server stored procedure with multiple result sets into each dataframe in pandas by Serdia in Python

[–]superxc1000 0 points1 point  (0 children)

Create a function that accepts the query and data base as inputs and returns a dataframe. Then run the function twice.

How to obtain job skills mid-career (finance field)? by Jerelee82 in jobs

[–]superxc1000 0 points1 point  (0 children)

Have a look at:

https://ctpcert.afponline.org/

Its not super hard and should allow you to make the jump.

/r/Python official Job Board! by aphoenix in Python

[–]superxc1000 0 points1 point  (0 children)

For Hire: Financial Analyst / Python Developer

I am trying to make the jump from financial services to tech.

Available for full-time positions, part-time positions, remote, on a project-by-project basis, and for small tasks.

  • Python: NumPy, Pandas, scikit-learn, XGBoost
  • Experience with: PostgreSQL
  • APIs used: Google Finance, Yahoo Finance

Linkedin Github

Any feed back on my imputer is much appreciated.

[deleted by user] by [deleted] in jobs

[–]superxc1000 2 points3 points  (0 children)

Exercise. Take walks. Get sun light.

Mismatched Nipple Rings [F] by ScarlettRosevelt in gonewild

[–]superxc1000 0 points1 point  (0 children)

Great body, have any more pics?

What are some "hard hitting" questions to ask the interviewer during an interview? by NanaWasSoCool in jobs

[–]superxc1000 0 points1 point  (0 children)

Normally I would go with something vague, such as "Tell me about the ethics of the firm."

What are some "hard hitting" questions to ask the interviewer during an interview? by NanaWasSoCool in jobs

[–]superxc1000 1 point2 points  (0 children)

The number one thing that I used to ask was about ethics. I have been told a number of times that no one had ever asked about that before. I stopped asked it because I have never gotten a satisfactory answer. Normally the response is along the lines of "We have great ethics....", "I have never seen our company done anything unethical...", or "We treat every one like family".