"Making data make sense... to make dollars and cents."

IT Manager who loves Python, pandas, NumPy, Matplotlib, Networkx

+ = ❤️

My core skillset: SQL database, Business Intelligence, Reporting, Python data analysis, PowerBI and DAX.

If I helped you with Pandas or any other technology would you please visit LinkedIn and endorse me. Thank you!

Favorite Answers:

• How to flatten / merge levels on multiindexes and column headers
• Slicing large Dataframe into chunks
• Using Networkx library to find relationships
• Finding all descendants with networkx
• Sum the count of lesser values
• Another application of graph theory with networkx
• Pandas Styling - Highlight a row when exceeding threshold

Neat Question:

• Bus load calculation in SQL without cursors

Do you find learning pandas hard to learn? Look at these courses and articles.

Python Exercises

Master Data Analysis with Python

Master Machine Learning with Python

Neat recipe using itertools

from itertools import islice, tee
nwise = lambda g, *, n=2: zip(*(islice(g, i, None)  for i, g in enumerate(tee(g, n))))
#Acts like pairwise when  n = 2