# llSourcell/Learn_Computer_Science_in_5_Months

This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube

Repository: https://github.com/llSourcell/Learn_Computer_Science_in_5_Months
Canonical: https://ross.abutalabs.com/products/learn_computer_science_in_5_months
License Family: other
Last push: 2021-08-22T00:04:42+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3071, "days_push": 1838, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1846, forks 568 (observed 2026-08-28T04:05:43.480952+00:00)

## What it is
A curated 5-month computer science curriculum by Siraj Raval, linking free online courses covering Python, data structures, algorithms, databases, networking, web and mobile development, data science, computer vision, NLP, software engineering, and blockchain. It is a README-based study guide accompanying a YouTube video, not executable software.

## Use cases
- learn computer science from scratch in 5 months
- find free courses for a self-taught CS curriculum
- study plan for learning python and data structures
- guide to learning web and mobile development
- curriculum covering nlp and computer vision courses
- self-study roadmap for software engineering fundamentals

## When to choose
- you want a structured, week-by-week self-study plan using free online courses
- you are a beginner looking for a broad computer science overview
- you want curated links to courses on algorithms, databases, and networking

## When to avoid
- you need runnable code, a library, or a tool
- you want up-to-date course links, as the curriculum dates from around 2018
- you need depth in a single subject rather than a broad survey

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials, computer-vision, data-science
- platform: cross-platform
- tags: curriculum, self-study, computer-science, youtube, siraj-raval, natural-language-processing

## Member repositories
- llSourcell/Learn_Computer_Science_in_5_Months (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.480952+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:17:53.235677+00:00, confidence not recorded.
  - readme: https://github.com/llSourcell/Learn_Computer_Science_in_5_Months (fetched 2026-08-28T04:05:43.480952+00:00, sha 426842cf5427)
- Data as of 2026-08-30T08:39:29.467469+00:00.