Jun Clemente

Resources

Practical guides and tooling notes I’ve collected while working through data science coursework and real-world projects.

Installing WSL2 and Miniconda in Windows

Windows | WSL2 | Conda

A step-by-step guide to installing WSL2 and Miniconda on Windows to enable a Linux-based Python development environment.

View full guide on GitHub →

Exporting Jupyter Notebooks to PDF

Jupyter | WSL2 | Linux

A practical guide to exporting Jupyter notebooks to PDF in WSL2 using nbconvert, pandoc, and LaTeX.

View full guide on GitHub →

Python + R in Jupyter

Windows | WSL2 | Conda

A stable development environment for MS-ADS coursework that requires both Python and R in the same Jupyter workflow - designed specifically for Windows users.

View full guide on GitHub →

Creating and Updating Conda Environments from a YAML File

Conda | Environment Management

A concise guide to creating, updating, and maintaining Conda environments using YAML files for reproducible workflows.

View full guide on Github →