Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Pandas Features Demo This project demonstrates a wide range of Pandas functionalities for data manipulation and analysis in Python. It covers essential and advanced operations, including handling ...

Complete Pandas Tutorial A comprehensive tutorial on the Python Pandas library, updated to be consistent with best practices and features available in 2024.

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

ChatGPT Excel features, from AI insights to Python scripting, that will revolutionize your workflow and boost productivity.

Commodity correlation isn’t static—and ignoring that can blow up your portfolio. Learn how to track it and adjust your risk ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

Dev with Serdar Learn coding in Python, Go and Rust from Serdar Yegulalp, software dev specialist and senior writer at InfoWorld.