A Guide to Eliminating Common Code Habits and Boosting Efficiency — Python has gained immense popularity among developers worldwide due to its readability and extensive range of libraries and frameworks. However, like any programming language, Python is not immune to mistakes and pitfalls. In this article, we’re going to explore 10 examples of bad code habits in Python. These examples will…

Exploring McDonald’s locations in Los Angeles neighborhoods by income. — Fast food is some of the unhealthiest and tastiest food there is. A deadly combination. Do they pick their locations based on income? Do they intentionally target those who cannot afford food that is more expensive? This article explores if that is true. Overview: This project will have three steps: …

Look at app requirements Our Vema software house (Central Europe) has been developing HRIS Vema (Human resources information systems) since the 1990s. Vema is now an organizational part of Seyfor In the following articles, we will discuss some fragments of software architecture using HRIS Vema as an example. Our interest…

Outlier detection is a process used to identify and remove data points from a dataset that deviate from the rest of the data points in the dataset. It can be used to improve the accuracy of data analysis, to improve the accuracy of predictions made by machine learning models, and…

Replace AI or Replaced by AI: Which one do you choose? — A disruptive tool with enormous promise in a variety of professional scenarios is ChatGPT, which is powered by cutting-edge AI technology. Its features include recognizing, generating, and interacting in natural language, providing a flexible answer for enhancing data analysis, problem-solving, and communication. In a professional setting, ChatGPT serves as an…

In an era characterized by the explosive growth of digital information, managing and analyzing vast amounts of data has become a paramount challenge. The traditional methods of data processing and analysis, while effective for smaller datasets, often struggle to scale. Among the critical tasks in data analysis is the determination…

Machine learning models have made significant advancements in various domains, from healthcare to finance and natural language processing. However, the predictions generated by these models are often seen as inscrutable “black boxes.” Understanding why a model makes a particular prediction is crucial for trust, transparency, and model improvement. …

Python, a widely embraced programming language, has emerged as the top choice for data analysts and scientists across the globe. But what makes Python truly powerful for data analysis? …

Welcome to the ultimate resource for mastering the art of visualizing data with the powerful combination of SQL and Python. SQL (Structured Query Language) is designed for managing and manipulating relational databases. It empowers us to interact with vast amounts of structured data efficiently. Python, on the other hand, is…