The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Abstract: The EiC looks back on a concept presented in CiSE’s inaugural issue: that of problem-solving environments, with a promise to be ‘all things to all people’ in computational science. Reviewing ...

How to use Marimo, a better Jupyter-like notebook system for Python Jupyter Notebooks may be a familiar and powerful tool for data science, but its shortcomings can be irksome. Marimo offers a Jupyter ...

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 ...

CSV, or Comma Separated Values, are files used for all kinds of things, from managing large datasets to exporting data to move it between web services. You might think CSV files are just spreadsheets, ...

Abstract: Computational notebooks have become the tool of choice for many data scientists and practitioners for performing analyses and disseminating results. Despite their increasing popularity, the ...

If you often use a computer for work, you've probably encountered some .csv files as part of your daily grind. On the surface, they may seem like a strange alternative to the far more well-known .xlsx ...

Setting up a python environment for VS Code. Activating a python environment in a VS Code batch script. Running a python Jupyter notebook interactively in VS Code. Running a python script (.py) ...

There's a not-so-hidden danger when using Python that you need to be prepared to deal with. All modern software development languages are modular, which means developers can break larger sections of ...