University of Kwazulu-Natal

Creating A Personal Finance Tracker With Python And Sql

Bonisiwe Shabane
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creating a personal finance tracker with python and sql

Creating a Personal Finance Tracker with Python and SQL is a practical project that helps individuals manage their financial data effectively. This tutorial will guide you through the process of building a personal finance tracker using Python and SQL. You will learn how to design a database schema, create a user interface, and implement data analysis and visualization features. Creating a Personal Finance Tracker with Python and SQL is a practical project that helps individuals manage their financial data effectively. This tutorial has provided a comprehensive guide to building a personal finance tracker, including designing a database schema, creating a user interface, and implementing data analysis and visualization features. By following the steps outlined in this tutorial, you can create a personal finance tracker that meets your needs and helps you manage your finances effectively.

Managing personal finances can feel like a daunting task. With bills, savings, investments, and unexpected expenses, it’s easy to lose track of where your money goes. Fortunately, technology offers us tools to simplify this process. In this article, we will create a personal finance tracker using Python, SQL, and data visualization libraries. This approach will help you gain insights into your spending habits and make informed financial decisions. Before we start coding, let’s set up our environment.

You will need Python installed on your machine, along with a few libraries. Here’s a quick list of what you need: You can install the necessary libraries using pip: First, we need to create a database to store our financial data. We will use SQLite for this purpose. Here’s how to set up a simple database with a table for transactions.

This code creates a database named finance_tracker.db and a table called transactions with columns for the transaction ID, date, category, amount, and description. In this project, I developed a MySQL database called spend_save tracking all of my financial transactions. This includes purchases, deposits, withdraws, credit card payments, and more. Any transaction that results in a change in a bank account or credit card balance is tracked in this database. These transactions are extracted from my banking website in the form of CSV files, transformed using customized Python scripts, and loaded into the database via the SQLAlchemy Python library. I then created SQL views to understand my spending habits and developed a Power BI dashboard linked to the database to view these habits visually.

I wanted to know more about my spending habits. I had an idea of which categories I spent the most on, but I did not know exactly how much I was spending. I also wanted to have a way to track my spending habits over time, allowing me to see which months of the year I tend to spend the most money in. To a lesser degree, I also wanted to track my bank account balances over time. My primary objective was to create a system that could meticulously monitor every transaction flowing through my bank and credit card accounts. I aimed to capture details such as transaction categories, transaction types (credit card purchases, paychecks, credit card bill payments, etc.), and transaction dates.

To do so, I needed to extract data at the transaction level from my bank and credit card accounts. To achieve the desired requirements above, I opted to create a dimensional model consisting of 4 dimension tables and one fact table as seen below: The account, transaction_type, category, and date tables are all dimensional tables, providing more information about each transaction in the transaction_facts table. However, as indicated on the data model, the category dimension is optional. This is because only transactions flagged as a transaction type of debit or credit card purchase are marked with a category and is enforced via a check constraint. 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. Building a personal finance tracker with Python and SQLite is an essential project for anyone looking to manage their finances effectively. It allows users to track their income, expenses, savings, and investments in a centralized and organized manner. In this tutorial, we will guide you through the process of building a personal finance tracker using Python and SQLite. We will cover the technical background, implementation guide, code examples, best practices, testing and debugging, and conclude with key takeaways and further learning resources. Before diving into the implementation, let’s discuss the core concepts and terminology involved in building a personal finance tracker.

The personal finance tracker will consist of three main tables: When a user creates a new transaction, the system will insert a new record into the transactions table. The system will also update the corresponding account balance in the accounts table. In this tutorial, we'll develop a Personal Finance Tracker using Django. We'll implement a robust login and logout system, and then proceed to establish CRUD (Create, Read, Update, Delete) operations for efficiently managing our expenses. The system will empower users to seamlessly delete or update their data with a single click, avoiding the need to navigate to the admin panel for such tasks.

Once all necessary data is entered, a simple button click will trigger the automatic generation of a comprehensive financial overview, calculated based on the entered expenses. A Finance Tracker is a Django-based web application that helps users manage personal finances. It includes a secure login, and CRUD operations for expense management, and allows easy one-click data deletion and updates. Users can generate a comprehensive financial overview by simply clicking a button after entering their expenses. which we will create using Python Django. To start the project, and app use this command

Building a personal finance tracker involves handling complex data models. To learn how to manage this and other advanced Django features, the Django Web Development Course is an excellent resource. models.py : Below code defines a Django model "Expense" with fields for user, salary, name, and price, tailored for managing expense data, associating each expense with a user and default values for salary, name,...

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Creating a Personal Finance Tracker with Python and SQL is a practical project that helps individuals manage their financial data effectively. This tutorial will guide you through the process of building a personal finance tracker using Python and SQL. You will learn how to design a database schema, create a user interface, and implement data analysis and visualization features. Creating a Persona...

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Managing personal finances can feel like a daunting task. With bills, savings, investments, and unexpected expenses, it’s easy to lose track of where your money goes. Fortunately, technology offers us tools to simplify this process. In this article, we will create a personal finance tracker using Python, SQL, and data visualization libraries. This approach will help you gain insights into your spe...

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You will need Python installed on your machine, along with a few libraries. Here’s a quick list of what you need: You can install the necessary libraries using pip: First, we need to create a database to store our financial data. We will use SQLite for this purpose. Here’s how to set up a simple database with a table for transactions.

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This code creates a database named finance_tracker.db and a table called transactions with columns for the transaction ID, date, category, amount, and description. In this project, I developed a MySQL database called spend_save tracking all of my financial transactions. This includes purchases, deposits, withdraws, credit card payments, and more. Any transaction that results in a change in a bank ...

I Wanted To Know More About My Spending Habits. I

I wanted to know more about my spending habits. I had an idea of which categories I spent the most on, but I did not know exactly how much I was spending. I also wanted to have a way to track my spending habits over time, allowing me to see which months of the year I tend to spend the most money in. To a lesser degree, I also wanted to track my bank account balances over time. My primary objective...