pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...

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 ...

OSCER has a dedicated OnDemand server to help researchers run python code on Jupyter Lab or Jupyter Notebook. If you need to run Jupyter Lab/Notebook with your own customized python environment, we ...

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 ...

Abstract: Jupyter Notebook is the tool of choice of many data scientists in the early stages of ML workflows. The notebook format, however, has been criticized for inducing bad programming practices; ...

There are a number of import / export scenarios handled by the Jupyter Extension. Import a file to Python script Export a notebook file / IW to Python script Export a notebook file / IW to PDF Export ...

Department of Materials Science and Engineering, University of California, Berkeley, California 94720, United States Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, ...