Get started with DataCamp and their Finance with Python track today! https://datacamp.pxf.io/RGZMVb

In this video, I'll show you how to build a personal finance automation tool in Python. We'll use modules like Pandas, Plotly, & Streamlit. Let me give a quick demo because this is pretty cool. I don't know about you guys, but personally, I hate how the bank represents or shows different transactions. I want to know: what did I spend the month before?

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🎞 Video Resources 🎞
Code in This Video (Sample Data): https://github.com/techwithtim/AutomateFinancesWithPython
Streamlit Course: https://www.youtube.com/watch?v=o8p7uQCGD0U

⏳ Timestamps ⏳
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

Hashtags
#Python #Finance #Streamlit

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

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The post provides a step-by-step tutorial for building a personal finance automation tool using Python with libraries such as Pandas, Streamlit, and Plotly. The tool can upload bank statements in CSV format, categorize transactions, and summarize expenses using visualizations. It also explains how to convert bank statements into a format conducive to analysis and the importance of utilizing structured, project-based learning resources like Data Camp for Python and finance fundamentals.

How To Automate Your Finances with Python - Full Tutorial (Pandas, Streamlit, Plotly & More)