Project_01: Python for Finance Project Build a Net Worth & Debt Tracker Python Pandas Tutorial

Описание: We are writing a Python script using the Pandas library to:

Ingest Real Data: Load assets directly into Google Colab.

The Truth Calculation: Automate your Net Worth: Assets - Liabilities to see if you are Solvent or Insolvent.

The Safety Belt Check: Calculate the exact Emergency Fund you need based on your real monthly burn rate.

The Guardian Logic: Identify "Poison Debt" i.e. Interest more than 15% that is destroying your wealth.

0:00 - Intro: Theory vs. Reality.
1:30 - Setup: Today's Project: From Excel to Python
2:45 - Understanding Pandas Library
3:45 - Loading & Inspecting Your Data
4:04 - Warning in Google Colab
4:45 - Creating Data Frames
5:11 - Inspecting the data: Variable Explorer vs df.head()
5:41 - What is a Data Frame?
6:08 - Exemple: Creating four Data Frames
7:31 - Get the Columns of a Data Frame
7:50 - Using Colab Gemini AI assitant to code faster
8:36 - Use your Own Data
9:00 - Calculate Total Assets and Total Liabilities. Use df['column'].sum()
10:00 - Calculate Net Worth in Pandas
11:00 - Calculate the Cash Flow
12:13 - The Safety Belt: Do you have 6 months of survival cash?
12:55 - Using Gemini AI to Access Data from one Data Frame
13:25 - Creating a Conditional: Are you ready to Invest?
14:15 - How Many Months You Need to Save Money before Investing?
14:55 - The Passive Income Journey
15:41 - The Rat Race Gap: Passive Income vs. Expenses
17:00 - Your Turn: Run this Code on your own Data.

No prior coding experience required, we write every line together.
You have the snapshot. Now you need the strategy. Subscribe for Lesson 2, where we analyze the S&P 500 to find out what to buy.


Code:
https://gist.github.com/ingsanchezgar...


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