This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

emphasizing Python's dominance in data science. With over 23 courses, which take 80 hours, the track progresses from basics—Pandas, NumPy—to advanced-level visualization with Matplotlib and Seaborn.

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

Research indicates that data professionals spend about 80% of their time on this process. Is there a way to speed it up? The pandas library in Python offers powerful one-liners that can automate ...

Taipy is designed for data scientists and machine learning engineers to create data & AI driven web applications. ⭐️ Enables building production-ready web applications. ⭐️ No need to learn new ...

luma.gl is a GPU toolkit for the Web focused primarily on data visualization use cases. luma.gl aims to provide support for GPU programmers that need to work directly with shaders and want a low ...

Even using three-dimensional plots from published studies, one cannot dynamically adjust or rotate the visualization to better understand the data from another angle. In addition, cells are typically ...