noahgift/functional_intro_to_python
[tutorial]A functional, Data Science focused introduction to Python
This tutorial provides a concise and practical introduction to Python specifically tailored for data science tasks. It starts with fundamental programming concepts and progresses to more advanced topics like machine learning, optimization, and recommendation engines. Anyone looking to quickly grasp Python for data analysis, modeling, and related workflows, even with no prior coding experience, would find this beneficial.
313 stars. No commits in the last 6 months.
Use this if you are a data professional, analyst, or scientist who needs to quickly learn Python's core functionalities for data-related tasks.
Not ideal if you are an experienced Python developer looking for advanced programming techniques outside the data science domain.
Stars
313
Forks
197
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/noahgift/functional_intro_to_python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science