University of Kwazulu-Natal

Build A Personal Finance Tracker With Python Track And Youtube

Bonisiwe Shabane
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build a personal finance tracker with python track and youtube

Managing personal finances is more than just tracking income and expenses. As your financial situation grows more complex, you may need a more sophisticated tool to keep track of investments, budgets, savings goals, and financial forecasting. In this blog, we’ll walk through building an advanced personal finance tracker using Python. This script will not only track your transactions but also provide insights into your spending patterns, help you set and achieve savings goals, and even predict your future financial status. Using matplotlib and plotly for interactive visualizations. Implementing budgeting and savings goals.

Financial forecasting with time series analysis. In addition to pandas and matplotlib, we’ll use plotly for interactive charts and statsmodels for financial forecasting. Creating a Personal Finance Tracker with Python and Pandas is a practical and powerful tool for managing your personal finances. This tutorial will guide you through the process of building a comprehensive personal finance tracker using Python and the Pandas library. By the end of this tutorial, you will have a working personal finance tracker that can help you track your income, expenses, and savings. A personal finance tracker typically consists of the following components:

Create a new directory for your project and create the following subdirectories: Create a new file called database.py and add the following code: Create a new file called data_loader.py and add the following code: Imagine that you’re sipping a hot latte from Starbucks on your way to work. You quickly swipe your card, and the receipt gets lost in your bag. Later in the day, you pay for an Uber ride, order lunch, and buy airtime.

By evening, you know you’ve spent money, but you can’t say precisely how much, or where most of it went. That’s the challenge with personal finance. Traditional expense trackers exist, but most require you to manually enter every detail, select categories, and run reports. After a while, you stop keeping track because it feels like more work than it’s worth. But what if your tracker were smart? What if it could:

Automatically understand that “Dominos Pizza” should be categorized under Food & Drinks. Summarize your weekly spending in plain English, like: “This week, you spent $32,000 on transportation, $15,000 on food, and $8,000 on shopping.” Intro: Morning! Another simple project under my belt and could be under yours! With the tutorial guidance of Tim from Tech with Tim at: Youtube Link I was able to program a personal finance tracker. This project used a csv file to store transactions from the terminal line with pandas and uses matplotlib to plot the data for you to see.

This is a great project for python beginners looking to explore popular libraries! Project: The program prompts users to enter transaction details such as date, amount, category (Income or Expense), and description, which are then stored in a CSV file. Users can view a summary of their income, expenses, and net savings for any given period, and generate plots to see trends and patterns in their financial data. The project was both challenging and rewarding. Validating user inputs to ensure data integrity, handling CSV files for data storage, and creating meaningful visualizations were some of the key tasks. This experience highlighted the importance of robust input validation, efficient data handling, and the power of data visualization in understanding financial habits.

To Do: This project and concept is a great base to make something bigger! Ideas I can think of is making a simple GUI that implements the original functions, or perhaps creating a django site. You could add more functionalities. The sky's the limit. Lesson: Following projects is a great tool for learning, but working on your own idea or building off an idea yourself is equally important. I will work off this project and be back to share my creation.

In addition, following these projects are crucial for building a greater computer science background and experience. I plan to learn about webscraping, ai chatbots, and django with youtube. Following different topics through videos extends your knowledge a ton and can allow you to start thinking of ways to connect them all. Youtube is the best.

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