# PyData YouTube Stats

Markdown version of https://vidiq.com/youtube-stats/channel/@pydatatv/ from vidIQ YouTube Stats. Link to that page, not to this file.

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As of 2026-11-08, PyData has 173,000 subscribers, 15,509,474 total views, and 4,970 videos. It ranks #426,441 by subscribers among channels tracked by vidIQ.

Counts reflect public YouTube data and may be rounded. Earnings are modelled ad revenue estimates, not reported creator income; sponsorships, memberships and merchandise are excluded. [Data sources and earnings methodology](https://vidiq.com/youtube-stats/top/methodology/#earnings).

## Key stats

- Subscribers: 173,000
- Total views: 15,509,474
- Videos: 4,970
- Estimated ad revenue (USD): $72
- Worldwide rank: #426,441
- Country: United States (rank #71,879)
- Category: Technology (rank #8,634)
- Joined YouTube: 2014-03-11
- Statistics as of: 2026-11-08

The exact earnings measurement window is unavailable.

## Top videos

| Video | Format | Published | Views | Views per hour | Outlier score |
| --- | --- | --- | --- | --- | --- |
| [LLMs as a New Type of Database](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/SkCu_MF5FI8/) | Short | 2026-06-27 | 1,806 | - | 5.3x |
| [What is Docling? Python Library for Document Parsing](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/To3i2A9qQQU/) | Short | 2026-07-02 | 1,642 | - | 4.42x |
| [Peter Wang's Thoughts on Challenges to Radical Innovation \| GM5 S3E5](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/UggIlL_jRFU/) | Short | 2026-11-06 | 1,156 | 25 | 8.58x |
| [Ralf Gommers' journey into open source \| Give Me 5 Season 3, Episode 3](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/QA6bBBfaTBQ/) | Short | 2026-10-24 | 1,031 | - | 4.04x |
| [Why AI Cannot Safely Judge Its Own Outputs](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/sq3MhPAo-vI/) | Short | 2026-06-25 | 1,021 | - | 3.37x |
| [Kishan Manani - Feature Engineering for Time Series Forecasting \| PyData London 2022](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/9QtL7m3YS9I/) | Long-form | 2022-07-10 | 110,619 | 1 | - |
| [Chris Fonnesbeck - Probabilistic Python: An Introduction to Bayesian Modeling with PyMC](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/911d4A1U0BE/) | Long-form | 2022-07-06 | 37,426 | 1 | - |
| [sktime - A Unified Toolbox for ML with Time Series - Markus Löning \| PyData Global 2021](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/ODspi8-uWgo/) | Long-form | 2022-01-21 | 29,980 | 0 | - |
| [How to Search Through 800 Billion Records in Real Time \[PyCon DE & PyData 2026\]](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/t0ZWNh-UXDs/) | Long-form | 2026-08-04 | 24,099 | 11 | 63.67x |
| [So You Wanna Be a Pandas Expert? (Tutorial) - James Powell \| PyData Global 2021](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/pjq3QOxl9Ok/) | Long-form | 2022-01-07 | 23,879 | 0 | - |

## Latest videos

| Video | Format | Published | Views | Views per hour | Outlier score |
| --- | --- | --- | --- | --- | --- |
| [Peter Wang's Thoughts on Challenges to Radical Innovation \| GM5 S3E5](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/UggIlL_jRFU/) | Short | 2026-11-06 | 1,156 | 25 | 8.58x |
| [Peter Wang: The Internet’s Serendipity Era Is Ending \| Give Me 5, Season 3, Episode 5](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/y3B6mITlvuc/) | Long-form | 2026-11-05 | 895 | 13 | - |
| [Quick Fire Questions with Peter Wang \| GM5 S3E5 Preview](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/qnPjQkKKuNs/) | Short | 2026-11-04 | 845 | 9 | 5.3x |
| ["Start Small" - Katrina Riehl's advice to new members of the community \| Give Me 5 S3E4](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/bcoA24CWI74/) | Short | 2026-11-03 | 130 | 1 | - |
| [Quick Fire Round: Katrina Riehl in Give Me 5 Season 3, Episode 4](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/QK1DjxOZB0s/) | Short | 2026-10-29 | 177 | - | - |

## Long-form vs. Shorts, last 28 days

| Format | Uploads | Views |
| --- | --- | --- |
| Long-form | 18 | 23,705 |
| Shorts | 10 | 4,358 |

## Daily performance

All recorded daily snapshots available for this channel. Dates are UTC. Missing days are not filled in; negative changes are retained. Earnings are estimates.

| Date | Subscribers | Subscribers change | Views | Views change | Estimated earnings (USD) |
| --- | --- | --- | --- | --- | --- |
| 2026-11-08 | 173,000 | 0 | 15,509,474 | +1,035 | $1 |
| 2026-11-07 | 173,000 | 0 | 15,508,439 | +3,062 | $3 |
| 2026-11-06 | 173,000 | 0 | 15,505,377 | +2,533 | $2 |
| 2026-11-05 | 173,000 | 0 | 15,502,844 | +1,842 | $2 |
| 2026-11-04 | 173,000 | 0 | 15,501,002 | +2,541 | $2 |
| 2026-11-03 | 173,000 | 0 | 15,498,461 | +956 | $1 |
| 2026-11-02 | 173,000 | 0 | 15,497,505 | +1,615 | $2 |
| 2026-11-01 | 173,000 | 0 | 15,495,890 | +1,497 | $1 |
| 2026-10-31 | 173,000 | 0 | 15,494,393 | +2,729 | $3 |
| 2026-10-30 | 173,000 | 0 | 15,491,664 | +1,796 | $2 |
| 2026-10-29 | 173,000 | 0 | 15,489,868 | +4,181 | $4 |
| 2026-10-28 | 173,000 | 0 | 15,485,687 | +3,170 | $3 |
| 2026-10-27 | 173,000 | 0 | 15,482,517 | +2,668 | $3 |
| 2026-10-26 | 173,000 | 0 | 15,479,849 | +7,121 | $7 |
| 2026-10-25 | 173,000 | 0 | 15,472,728 | +2,880 | $3 |
| 2026-10-24 | 173,000 | 0 | 15,469,848 | +1,391 | $1 |
| 2026-10-23 | 173,000 | 0 | 15,468,457 | +2,504 | $2 |
| 2026-10-22 | 173,000 | 0 | 15,465,953 | +3,669 | $4 |
| 2026-10-21 | 173,000 | 0 | 15,462,284 | +1,163 | $1 |
| 2026-10-20 | 173,000 | 0 | 15,461,121 | +1,686 | $2 |
| 2026-10-19 | 173,000 | 0 | 15,459,435 | +905 | $1 |
| 2026-10-18 | 173,000 | 0 | 15,458,530 | +1,684 | $2 |
| 2026-10-17 | 173,000 | 0 | 15,456,846 | +7,612 | $7 |
| 2026-10-16 | 173,000 | 0 | 15,449,234 | 0 | $0 |
| 2026-10-15 | 173,000 | 0 | 15,449,234 | +3,384 | $3 |
| 2026-10-14 | 173,000 | 0 | 15,445,850 | +5,206 | $5 |
| 2026-10-13 | 173,000 | 0 | 15,440,644 | 0 | $0 |
| 2026-10-12 | 173,000 | 0 | 15,440,644 | +1,294 | $1 |
| 2026-10-11 | 173,000 | 0 | 15,439,350 | +2,700 | $3 |
| 2026-10-10 | 173,000 | 0 | 15,436,650 | +1,915 | $2 |

## Monthly history

In October 2026, PyData held at 173,000 subscribers and got 75,984 views. Each month shows its net change and the totals at its end.

| Month | Subscribers gained | Views gained | Subscribers | Views |
| --- | --- | --- | --- | --- |
| October 2026 | 0 | +75,984 | 173,000 | 15,495,890 |
| September 2026 | 0 | +79,303 | 173,000 | 15,419,906 |
| August 2026 | +1,000 | +92,152 | 173,000 | 15,340,603 |
| July 2026 | 0 | +86,176 | 172,000 | 15,248,451 |
| June 2026 | 0 | +64,606 | 172,000 | 15,162,275 |
| May 2026 | 0 | +38,087 | 172,000 | 15,097,669 |
| April 2026 | +1,000 | +41,264 | 172,000 | 15,059,582 |
| March 2026 | 0 | +45,631 | 171,000 | 15,018,318 |
| February 2026 | 0 | +43,795 | 171,000 | 14,972,687 |
| January 2026 | 0 | +73,301 | 171,000 | 14,928,892 |
| December 2025 | +1,000 | +68,636 | 171,000 | 14,855,591 |
| November 2025 | 0 | +70,387 | 170,000 | 14,786,955 |
| October 2025 | +1,000 | +70,839 | 170,000 | 14,716,568 |
| September 2025 | 0 | +45,658 | 169,000 | 14,645,729 |
| August 2025 | +1,000 | +52,902 | 169,000 | 14,600,071 |
| July 2025 | 0 | +70,263 | 168,000 | 14,547,169 |
| June 2025 | +1,000 | +85,541 | 168,000 | 14,476,906 |
| May 2025 | +1,000 | +64,785 | 167,000 | 14,391,365 |
| April 2025 | 0 | +94,319 | 166,000 | 14,326,580 |
| March 2025 | +1,000 | +72,394 | 166,000 | 14,232,261 |
| February 2025 | +1,000 | +60,581 | 165,000 | 14,159,867 |
| January 2025 | +1,000 | +66,676 | 164,000 | 14,099,286 |
| December 2024 | 0 | +79,856 | 163,000 | 14,032,610 |
| November 2024 | +1,000 | +90,569 | 163,000 | 13,952,754 |
| October 2024 | 0 | +108,610 | 162,000 | 13,862,185 |
| September 2024 | +1,000 | +99,561 | 162,000 | 13,753,575 |
| August 2024 | +1,000 | +76,813 | 161,000 | 13,654,014 |
| July 2024 | 0 | +46,115 | 160,000 | 13,577,201 |
| June 2024 | +1,000 | +86,625 | 160,000 | 13,531,086 |
| May 2024 | +1,000 | +85,485 | 159,000 | 13,444,461 |
| April 2024 | +1,000 | +94,148 | 158,000 | 13,358,976 |
| March 2024 | 0 | +85,830 | 157,000 | 13,264,828 |
| February 2024 | +2,000 | +113,199 | 157,000 | 13,178,998 |
| January 2024 | 0 | +88,164 | 155,000 | 13,065,799 |
| December 2023 | +1,000 | +111,610 | 155,000 | 12,977,635 |
| November 2023 | +1,000 | +104,364 | 154,000 | 12,866,025 |

## Cite these statistics

vidIQ. As of 2026-11-08, PyData has 173,000 subscribers, 15,509,474 total views, and 4,970 videos. It ranks #426,441 by subscribers among channels tracked by vidIQ. Source: public YouTube statistics recorded by vidIQ. https://vidiq.com/youtube-stats/channel/@pydatatv/ Methodology: https://vidiq.com/youtube-stats/top/methodology/

[Shareable recorded history chart](https://vidiq.com/youtube-stats/channel/@pydatatv/history.svg)

## Frequently asked questions

**How many subscribers does PyData have?**

PyData has 173,000 subscribers as of 2026-11-08.

**How many views does PyData have?**

PyData has 15,509,474 total video views as of 2026-11-08.

**How many videos has PyData uploaded?**

PyData has uploaded 4,970 videos as of 2026-11-08.

**What is PyData's estimated YouTube ad revenue?**

vidIQ models about $72 USD in YouTube ad revenue for PyData as of 2026-11-08. This is a modelled estimate, not income reported by the creator or YouTube. The exact earnings measurement window is unavailable.

**What is PyData's subscriber rank?**

PyData is ranked #426,441 by subscribers among channels tracked by vidIQ as of 2026-11-08.

**How many subscribers did PyData gain in the last 28 days?**

PyData gained 0 subscribers between 2026-10-12 and 2026-11-08.

**How many views did PyData get in the last 28 days?**

PyData got 70,124 views between 2026-10-12 and 2026-11-08.

**How much did PyData grow in October 2026?**

In October 2026, PyData held at 173,000 subscribers and got 75,984 views.

**When did PyData start their channel on YouTube?**

PyData started their YouTube channel on March 11, 2014.

**What country is PyData YouTube channel from?**

PyData has its channel country set to United States on YouTube.

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## More on this channel

- [Videos](https://vidiq.com/youtube-stats/channel/@pydatatv/videos/): Latest long-form videos and Shorts.
- [About](https://vidiq.com/youtube-stats/channel/@pydatatv/about/): Rankings, profile, and description.
- [Channel on YouTube](https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w)