
Overview

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This one-hour tutorial demonstrates how to build a personal finance automation tool using Python. Learn to create a system that transforms bank transaction data into meaningful financial insights with Pandas, Plotly, and Streamlit. Start with a project demo showcasing the tool's capabilities, then progress through setting up dummy data, configuring Python and Streamlit environments, and implementing file uploading functionality with Pandas. Master transaction categorization techniques, create editable dataframes for data manipulation, and generate informative plots and charts to visualize spending patterns. Perfect for those who want to gain better control over their finances through programming, with all code samples available on GitHub for practice.
Syllabus
00:00:00 | Project Demo
00:03:14 | Project Setup & Dummy Data
00:06:05 | Python Setup
00:07:37 | Streamlit Setup
00:10:04 | File Uploading & Loading w/ Pandas
00:24:09 | Categorizing Transactions
00:42:49 | Editable Dataframe
00:52:47 | Plots/Charts
Taught by
Tech With Tim