The second part of this hands-on series will introduce you to a few libraries that enable Python to function as a powerful numerical programming language, including NumPy, SciPy, and Pandas. …
Neural networks are the “beating heart” of modern LLM-based AI systems, driving everything from image recognition to natural language processing. In this 2-hour lecture, we’ll explore the foundational concepts of …
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its …
Part of the series: From Scripts to Software: Practical Python for Reproducible Research Having learned how to write sustainable, object-oriented code and how to scale it across multiple processors, we …
Work efficiently with data in Python using libraries. You’ll write functions, load tabular data into pandas DataFrames, explore, and plot results.
Start writing Python for data work in Jupyter. You’ll run code, use variables and types, call built-ins, and control flow with conditionals and loops.
