Skip to main content

Creating an Advanced To-Do List Program in Python with GUI and Database Interaction

Creating an Advanced To-Do List Program in Python with GUI and Database Interaction
Creating an Advanced To-Do List Program in Python with GUI and Database Interaction

This program creates a GUI with Tkinter library, with the help of which you can create, view, update, delete and mark tasks as complete with the help of buttons.

The program also uses the SQLite3 library to interact with the database and stores the tasks in a database file named "todo.db".

The GUI also provides functionality to filter the tasks by due date.

Please note that this program is just an example, you can change it according to your needs and add more functionality.


Popular posts from this blog

Exploring the World of Tech: A Month-long Hiatus Explained

Greetings, dear readers! It has been quite some time since my last post, and I owe you an explanation.  Over the past month, I embarked on an exhilarating journey into the ever-evolving realm of technology. Immersed in a sea of new updates and breakthroughs, courtesy of Meta, Google, Microsoft, Amazon, and numerous startups, I sought to expand my knowledge and bring you even more insightful content. So, without further ado, let me share with you the reasons behind my absence and the exciting discoveries that await! A Quest for Technological Enlightenment As a dedicated tech enthusiast and purveyor of knowledge, it is my responsibility to stay abreast of the latest advancements in the field. During my hiatus, I dived headfirst into a plethora of new tech updates and developments from industry giants such as Meta (formerly Facebook), Google, Microsoft, Amazon, and various promising startups. This month-long journey allowed me to explore the cutting-edge innovations and gain profound ...

Twitter and eToro team up for Blue Badge Monetization

Elon Musk has made a surprising move by partnering with eToro, one of the world's leading trading platforms, to offer share and crypto trades within Twitter. This acquisition and partnership is expected to change the landscape of social media and revolutionize the way we invest and trade. With over 330 million monthly active users, Twitter is one of the largest social media platforms in the world, and this integration will allow users to buy and sell stocks and cryptocurrencies without leaving the app. This has the potential to democratize investing and trading, making it more accessible to the masses. One of the advantages of this partnership is the convenience it provides to everyday people. With just a few clicks, users will be able to access real-time market data and trade a variety of assets, including stocks, cryptocurrencies, and commodities. This will save time and effort for those who are interested in investing but may not have the knowledge or resources to do so. Moreove...

Risks of AI-generated Code: Google's Bard, Amazon Whisperer, and the Challenges with their New Features

Artificial intelligence (AI) has advanced so much in recent days that it is now used in various applications. Machine learning is used to teach AI systems how to learn on their own, and they are used in various industries such as healthcare, finance, and e-commerce. AI has revolutionized the way we interact with technology, and companies such as Google and Amazon have been at the forefront of AI research and development. However, with every new feature and advancement, there are bound to be issues and challenges that come with it. Google's Bard and Amazon Whisperer are two examples of AI language models that have been introduced in recent years, but they have faced some issues with their new code feature. Google's Bard Google's Bard is a language model that is designed to help people write poetry. It uses machine learning algorithms to generate verses based on the style and theme of the poem. Bard was introduced in 2021 and has since gained popularity among poetry enthusias...

Structured Query Language

SQL Data is everywhere, from social media posts to online transactions, from sensor readings to health records, we generate and consume massive amounts of data every day. But how do we store, organize, manipulate and retrieve this data efficiently and effectively? How do we query and analyze this data to gain insights and make decisions? How do we ensure the security and integrity of this data? One of the most popular and powerful tools for data management is SQL. SQL stands for Structured Query Language, a standardized programming language that is used to manage relational databases. Relational databases are systems that store data in tables, where each table consists of rows (records) and columns (attributes). Tables can be linked by common attributes, forming relationships between them. SQL lets you access and manipulate databases using various operations . Some of the most common operations are: - CREATE : This operation allows you to create new tables or databases. - SELECT : This...

The Power of Natural Language Processing in Finance

The Power of Natural Language Processing in Finance In today's world, data is everywhere, and the amount of information generated every day is growing exponentially. Financial institutions have access to vast amounts of data, and making sense of it can be a challenging task. This is where Natural Language Processing (NLP) comes in. NLP is a field of Artificial Intelligence (AI) that focuses on the interaction between computers and human language. In finance, NLP can help extract valuable insights from large amounts of data and improve decision making. In this article, we will explore the power of NLP in finance and how it can be used to drive better outcomes. NLP and Finance NLP can be used in several ways in finance, including: Sentiment Analysis : NLP can be used to analyze news articles, social media posts, and customer feedback to determine the sentiment and identify trends in the market. By understanding customer sentiment, financial institutions can make more informed decisio...