CodeCutTech/Efficient_Python_tricks_and_tools_for_data_scientists resource
Efficient Python Tricks and Tools for Data Scientists observed · 2026-08-28
Health v2 · maintenance only
39/100
- Activity 16
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1900
- days_rel: n/a
- days_push: 505
- n_releases_24m: 0
Adoption not part of the score
1489 stars · 383 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source online book of bite-size Python tricks and tools aimed at data scientists, covering iterators, dictionaries, pandas/NumPy, Jupyter Notebook, and general project tooling. It is published as a Jupyter Notebook-based site with a companion printable PDF guide.
Use cases
- learn efficient python tricks for data science
- find better ways to work with pandas and numpy
- improve jupyter notebook workflow
- discover tools for data science projects
- quickly look up python idioms for iterators and dictionaries
- get a printable reference of data science tools
When to choose
- you are a data scientist wanting to write more readable and efficient Python
- you prefer bite-size code snippets with links to further resources
- you want curated recommendations of data science libraries and tools
When to avoid
- you need comprehensive structured courses or exercises with assessments
- you are looking for a software library to install and use in production
- you need web-development-specific Python guidance
Facets
learning-resource · maturity active
developer-tools data-science data-science tutorials developer-tools python python-tricks jupyter-notebook pandas numpy book code-snippets
2 sources
- readme: https://github.com/CodeCutTech/Efficient_Python_tricks_and_tools_for_data_scientists · fetched 2026-08-28 · e32048c2b16a
- homepage: https://codecuttech.github.io/Efficient_Python_tricks_and_tools_for_data_scientists/README.html · fetched 2026-08-29 · 419dd206c16a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| CodeCutTech/Efficient_Python_tricks_and_tools_for_data_scientists | main | 39 |
For agents
markdown · JSON · MCP: product_card(name="CodeCutTech/Efficient_Python_tricks_and_tools_for_data_scientists")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem