Abstract: This paper presents a detailed comparison of eliminated and non-eliminated harmonics for 3-level, 5-level and 13-level cascaded multilevel inverter. For this research, three different types ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

All parts of Pachelbel’s Canon in D are performed on a single violin using a loop pedal. Layer by layer, the full arrangement builds into a rich and complete sound. #CanonInD #ViolinLoop ...

Imagine you have a directory filled with thousands of files, and you have been asked to process these files one by one. Sounds quite tedious, right? Well not, if you are using For loops in Bash script ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

ABSTRACT: This research aims to explore changes in Land Use and Land Cover (LULC) and how LULC have an influence on the Land Surface Temperature (LST) in Rupandehi district. Multiple Landsat imagery ...

ESBMC enters an infinite loop when verifying basic Python string concatenation operations. I think that should be the inconsistence of Python to C format problem. Strlen in C could use \0 to check ...

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() ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...