RRepoGEO

REPOGEO REPORT · LITE

Tanu-N-Prabhu/Python

Default branch master · commit ee137bc0 · scanned 5/24/2026, 3:52:25 PM

GitHub: 2,149 stars · 914 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Tanu-N-Prabhu/Python, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intentions for the code's use.
  • highreadme#2
    Add a clear, concise opening sentence to the README emphasizing its role as a beginner-friendly learning resource

    Why:

    CURRENT
    Welcome to a treasure trove of Python programming expertise, Data Science mastery, and essential survival skills for navigating the dynamic world of programming. Dive into the depths of this repository to unlock the knowledge and tools you need to thrive in your coding journey.
    COPY-PASTE FIX
    This repository is a comprehensive, beginner-friendly hub designed to help you learn Python programming, Data Science, and Machine Learning from scratch through practical examples and structured content.
  • mediumtopics#3
    Expand repository topics to include learning and beginner-focused keywords

    Why:

    CURRENT
    data, data-analysis, data-visualization, dataanalysis, datascraping, google-colab, google-colab-notebook, jupyter-notebook, machine-learning, machine-learning-algorithms, numpy, numpy-arrays, pandas-dataframe, prediction, python, python-3, python3
    COPY-PASTE FIX
    data, data-analysis, data-visualization, dataanalysis, datascraping, google-colab, google-colab-notebook, jupyter-notebook, machine-learning, machine-learning-algorithms, numpy, numpy-arrays, pandas-dataframe, prediction, python, python-3, python3, python-tutorial, machine-learning-tutorial, beginner-friendly, learning-python, data-science-tutorial

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Tanu-N-Prabhu/Python
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
plotly/plotly.py
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. plotly/plotly.py · recommended 2×
  2. Python for Data Analysis · recommended 1×
  3. Coursera's "Python for Everybody Specialization" · recommended 1×
  4. DataCamp · recommended 1×
  5. Kaggle Learn · recommended 1×
  • CATEGORY QUERY
    How can I learn Python programming for data analysis and machine learning from scratch?
    you: not recommended
    AI recommended (in order):
    1. Python for Data Analysis
    2. Coursera's "Python for Everybody Specialization"
    3. DataCamp
    4. Kaggle Learn
    5. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    6. Scikit-learn
    7. Keras
    8. TensorFlow
    9. freeCodeCamp.org
    10. Towards Data Science

    AI recommended 10 alternatives but never named Tanu-N-Prabhu/Python. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for mastering machine learning algorithms and data visualization with Python?
    you: not recommended
    AI recommended (in order):
    1. scikit-learn (scikit-learn/scikit-learn)
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. XGBoost (dmlc/xgboost)
    5. LightGBM (microsoft/LightGBM)
    6. CatBoost (catboost/catboost)
    7. StatsModels (statsmodels/statsmodels)
    8. Matplotlib (matplotlib/matplotlib)
    9. Seaborn (mwaskom/seaborn)
    10. Plotly (plotly/plotly.py)
    11. Plotly Express (plotly/plotly.py)
    12. Altair (altair-viz/altair)
    13. Dash (plotly/dash)

    AI recommended 13 alternatives but never named Tanu-N-Prabhu/Python. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Tanu-N-Prabhu/Python?
    pass
    AI named Tanu-N-Prabhu/Python explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Tanu-N-Prabhu/Python in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tanu-N-Prabhu/Python explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Tanu-N-Prabhu/Python solve, and who is the primary audience?
    pass
    AI named Tanu-N-Prabhu/Python explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Tanu-N-Prabhu/Python. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Tanu-N-Prabhu/Python.svg)](https://repogeo.com/en/r/Tanu-N-Prabhu/Python)
HTML
<a href="https://repogeo.com/en/r/Tanu-N-Prabhu/Python"><img src="https://repogeo.com/badge/Tanu-N-Prabhu/Python.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Tanu-N-Prabhu/Python — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite