The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Abstract: Problem-solving is essential in various fields, including business, technology, and everyday life. It often involves a combination of experience, knowledge, intuition, and rational analysis.

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Abstract: In this paper, forecasting algorithms were tested on renewable energy production data and their comparative analysis was carried outThe machine learning methods that were used in the work ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

I'm a software developer and writer, passionate about learning and sharing knowledge and one way I do that is through writing. I'm a software developer and writer, passionate about learning and ...