Pandas + Anki: set_index, dtypes & rename 📊

This video is for beginners transitioning into intermediate level with Pandas / want to learn more of the functions used with Pandas / people that want to study Pandas as a refresh.

In this video, I go over my custom flashcards created with Anki. They use Spaced Repetition.

Anki: https://apps.ankiweb.net/

Need a Data Analysis Tutor for SQL or Pandas? (Can help with Data Science as well.)

Book a session on Snugg:
https://snugg.me/snuggery/?id=8lSN9MzcCAZFj1hFUy5Hjb5Uh6j1

Github for code for Code in Video:
https://github.com/MorrowG2/Kaggle_ML_YouTube/blob/main/Rainfall_in_Australia_Loc_Type_Index.ipynb

df.set_index('col', drop=True, inplace=True)
df.reset_index()
df.set_axis()
df.columns = ['col_1','col_2']
df.rename(columns={})
df.rename('old_index':'new_index',axis='index', inplace=Trure) # Rename Index.

Bitcoin Wallet:
1KCG3JnY2FJje1GgCcRpCWXCLauHZPU1zA

ETH:
0x0b53fD1D09F973Cd38979f452B081db2f1dA20bC

Doge:
DNhBEk89wbgCtNP9PASqi3cHFZ4UnKMBwS