Hi, I'm Pablo, a Chemical Engineer, Data Scientist and Linux enthusiast. I like to constantly learn new programming languages, bleeding-edge technologies and technical disciplines and write about them so that people get to know and potentially adopt them as seamlessly as possible.

I'm also passionate about literature, films, philosophy, aesthetics, art, fashion, design, natural sciences and scents.

• About
• Table of Contents
• Specialties
  • 1. Categories
  • 2. Technologies
    • 2.1 Platforms
    • 2.2 Languages
    • 2.3 IDEs, Editors, Environments & Terminal Emulators
    • 2.4 Visualization
    • 2.5 Version Control
    • 2.6 Productivity
    • 2.7 Servers & Networking
    • 2.8 GitHub Gists
• Get to Know Me

Most of my work is focused on Data Science, Data Engineering, Data Analysis, Probability Theory & Statistics & Computer Science. You can see a more detailed breakdown below:

• Data Science
• Data Engineering
• Data Analysis
• Probability Theory & Statistics
• Computer Science
• Version Control
• Big Data
• Linux & System Administration
• Machine Learning
• Productivity & Workflow
• Visualization & Graphic Design
• Writing, Formatting & Documentation

I like to constantly test emerging and exciting technologies, although not everything I test makes it to my daily workflow; there are too many tools out there and it's easy to get lost. This is why I like to keep a well-defined pipeline, otherwise, this process would become endless.

Below are all the technologies I've adopted as daily drivers, although I occasionally use other tools to perform specific tasks:

• Windows
• Linux

• Python
• Julia
• R
• Scala
• Rust
• PySpark
• SQL
• Bash
• PowerShell 7
• Git
• HTML
• CSS
• Markdown
• LaTeX
• PHP

• VS Code
• R Studio
• Obsidian
• Texmaker
• WSL2
• Windows Terminal

• PowerBI

• GitHub

• ClickUp
• Obsidian

• WinSCP

GitHub Gists are a quick and easy way to produce code snippets. I usually create gists for showcasing examples or as a way to archive relevant fragments of code that might turn in handy.