How to Find the Most Recent Version of a Course in the cs-video-courses Repository

To find the most recent version of a course in the Developer-Y/cs-video-courses repository, scan the README.md file for your target course, extract the year and season tokens from each matching entry, normalize them into chronological dates, and select the last entry after sorting.

The Developer-Y/cs-video-courses repository aggregates free computer science video lectures from leading universities into a curated markdown list. Because the repository stores course metadata as structured text entries in a single flat file, determining how to find the most recent version of a course requires parsing line-by-line entries and comparing their embedded academic term identifiers. Each bullet line typically contains the course name, offering year, optional season (Fall, Spring, Summer, Winter), and video links, enabling both manual inspection and programmatic extraction.

Understanding the Repository Structure

The cs-video-courses repository organizes its entire catalog in the root README.md file, where each course occupies a single markdown bullet line. According to the source code analysis, a typical entry follows the pattern:

• [Course Name] – The full title and university (e.g., CS 50 – Introduction to Computer Science, Harvard University)
• Academic Term – A four-digit year and optional season (e.g., Fall 2017, Spring 2020)
• Video Links – URLs pointing to lecture recordings or course homepages

This flat-file structure means the most recent version of any course is simply the chronologically last matching line in the document.

Step-by-Step Manual Detection

1. Search the file for the course identifier – Use grep, the repository-wide search in GitHub, or any text editor to locate lines containing the course name (e.g., "CS 50").
2. Extract the term/year tokens – Identify the four-digit year and optional season word (Fall, Spring, Summer, Winter) in each matching line.
3. Normalize the term – Map the season to a month number to create a sortable date (e.g., "Fall 2017" becomes 2017-09, "Spring 2020" becomes 2020-03).
4. Sort the tokens chronologically – Arrange the extracted entries by date; the final element is the most recent version.

Automated Extraction Using Python

For courses with multiple offerings, a Python script automates the parsing and sorting logic. The following implementation reads README.md, applies a regular expression to capture course metadata, and returns the newest version:

import re
from pathlib import Path
from datetime import datetime

# -------------------------------------------------------------

# 1️⃣ Load the README that holds the course list

# -------------------------------------------------------------

README_PATH = Path(
    "/cache/repos/github.com/Developer-Y/cs-video-courses/master/README.md"
)
text = README_PATH.read_text(encoding="utf-8")

# -------------------------------------------------------------

# 2️⃣ Define a regular expression to capture a course line

# -------------------------------------------------------------

# Example line (excerpt from the repo):

#   - [CS 50 - Introduction to Computer Science, Harvard University]

#     (https://online-learning.harvard.edu/course/cs50-introduction-computer-science)

#     ([cs50.tv](http://cs50.tv/2017/fall/))

#

# The regex extracts:

#   • the whole line,

#   • the year (4 digits) and an optional season word.

LINE_RE = re.compile(
    r"""
    ^\s*-\s*\[               # leading "- [" marker

    (?P<name>[^]]+?)         # course name (non‑greedy)

    \]\s*\(                  # closing "] (" before URL

    (?P<url>[^)]+?)\)        # URL

    .*?                      # any intervening text

    (?P<year>\b20\d{2}\b)    # a 4‑digit year (e.g., 2017)

    (?:\s*(?P<season>Fall|Spring|Summer|Winter))?  # optional season

    """,
    re.IGNORECASE | re.MULTILINE | re.VERBOSE,
)

# -------------------------------------------------------------

# 3️⃣ Find all matches for a specific course (case‑insensitive)

# -------------------------------------------------------------

def find_course_versions(course_keyword: str):
    matches = []
    for m in LINE_RE.finditer(text):
        if course_keyword.lower() in m.group("name").lower():
            year = int(m.group("year"))
            season = m.group("season") or ""
            # Normalise season to a month for proper sorting

            month = {"Winter": 1, "Spring": 3, "Summer": 6, "Fall": 9}.get(
                season.title(), 1
            )
            date = datetime(year, month, 1)
            matches.append(
                {
                    "line": m.group(0).strip(),
                    "date": date,
                    "url": m.group("url"),
                }
            )
    # Sort chronologically

    matches.sort(key=lambda x: x["date"])
    return matches

# -------------------------------------------------------------

# 4️⃣ Example usage – get the latest CS 50 entry

# -------------------------------------------------------------

if __name__ == "__main__":
    versions = find_course_versions("CS 50")
    if not versions:
        print("Course not found.")
    else:
        latest = versions[-1]                     # newest entry

        print("Latest version:")
        print(latest["line"])
        print("URL:", latest["url"])

Key implementation details:

• Regex Pattern – The verbose pattern r"^\s*-\s*\[(?P<name>[^]]+?)\]\s*\((?P<url>[^)]+?)\).*?(?P<year>\b20\d{2}\b)(?:\s*(?P<season>Fall|Spring|Summer|Winter))?" extracts the course name, URL, year, and optional season from each bullet line in README.md.
• Date Normalization – The script maps "Winter" to month 1, "Spring" to 3, "Summer" to 6, and "Fall" to 9, creating a datetime object for accurate chronological sorting.
• Filtering Logic – The find_course_versions() function performs case-insensitive keyword matching against extracted course names.
• Sorting – The resulting list sorts by date, with versions[-1] yielding the most recent offering.

Key Files in the Repository

• README.md – The primary source file located at the repository root containing the flat-list course catalog. Each line encodes course name, academic term, and video links.
• NOTES.md – Supplementary documentation that may contain additional version clarifications or metadata about specific offerings.
• CONTRIBUTING.md – Describes the flat-file format conventions governing how new courses are added, which explains the consistent line-based structure.

Summary

• The README.md file in Developer-Y/cs-video-courses stores each course as a single markdown bullet line containing the course name, year, and optional season.
• To identify the newest offering, extract all lines matching your course keyword, parse the year and season tokens, and convert them to chronological dates using month-normalization.
• Sort the extracted entries by date; the final element represents the most recent course version with the latest video lectures.
• The provided Python script automates this workflow by applying a multi-line regex to capture metadata and returning the chronologically last match.

Frequently Asked Questions

What file contains the course listings in the cs-video-courses repository?

The primary catalog resides in README.md at the repository root. This file stores each course as a single markdown bullet line containing the course name, university, offering year, optional season (Fall, Spring, Summer, Winter), and hyperlinks to video lectures.

How does the Python script determine which course version is newest?

The script uses a regular expression to extract the four-digit year and optional season from each README.md entry, maps seasons to specific months (Winter=1, Spring=3, Summer=6, Fall=9) to create datetime objects, sorts the resulting list chronologically, and returns the last element as the most recent version.

Can I find the latest course version without writing code?

Yes. Use the GitHub search bar to query the repository for your course name, then visually scan the results for the highest year number. For courses offered multiple times per year, check for season keywords (Spring vs. Fall) to determine which entry is chronologically later.

Why does the extraction logic normalize academic seasons to months?

The normalization converts "Fall 2017" to 2017-09-01 and "Spring 2020" to 2020-03-01 to create comparable datetime objects. This ensures correct chronological ordering when sorting, so a Fall 2020 offering correctly appears after a Spring 2020 offering rather than being treated as ambiguous or equal.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}