From R to Python: A Gentle Introduction
Recap & Resources - Recording Now Available!
This April 2025, R-Ladies Rome hosted a beginner-friendly workshop titled βFrom R to Python: A Gentle Introductionβ, designed to help R
users and beginners take their first steps into the world of Python.
This hands-on session welcomed attendees from various backgrounds, creating an inclusive and supportive learning space.
Whether youβve never written a line of Python or youβre just curious how it compares to R, this event aimed to make that transition approachable and fun.
π‘ What We Covered
During the session, we explored:
- The similarities and differences between R and Python
- How to perform common data analysis tasks in Python
- An introduction to popular Python libraries like
pandas
,scikit-learn
, andseaborn
We also demoed basic workflows, provided a starter script, and answered audience questions live.
π What You Said
We asked participants three short questions using Slido.
Hereβs what they shared:
π£ On a scale of 1 to 5, how confident are you with programming languages?
π£ What is your favorite programming language?
π£ How familiar are you with Python?
π¦ Workshop Materials
All workshop materials are freely available:
- π€ Presentation Slides
- π Workshop Booklet
- π» GitHub Repository
Youβll find setup instructions, sample datasets, and the Python scripts we used during the event.
π₯ Recording
You can rewatch the full event on our YouTube channel:
π¬ Watch the Video Now
Simply click on the video below to catch up on the discussion:
Whether you missed the event or just want a refresher, itβs all there for you.
π Learn More: Python Resources for Beginners
If youβre ready to keep going, here are some recommended resources:
- Python for Data Analysis (Wes McKinney) β The classic book for learning
pandas
and data wrangling in Python. - Real Python β A comprehensive site full of beginner tutorials and hands-on examples.
- Python Basics β Simple and direct explanations of core Python concepts.
- DataCampβs Python tracks β Interactive exercises for data science beginners.
- The Carpentries Python Lessons β Friendly workshops teaching foundational skills.
- Kaggle Python Micro-Course β Great for learning through applied exercises.
If you prefer video: - Corey Schafer YouTube Channel β Detailed and beginner-friendly. - freeCodeCamp Python course β Full-length intro course, highly rated.
π Tip: Pick one small project and try to replicate it in Python from R. This hands-on approach accelerates learning.
π Thank You
Thank you to everyone who attended, participated, and asked questions. Your curiosity and enthusiasm made this event a success!
Stay tuned for upcoming R-Ladies Rome events β and until then, happy coding ππ