# Interest over time: python

CN · 2004 to present · Web search

Values are relative search interest from 0 to 100, where 100 is the peak.

## Timeline (274 points, month resolution)

| Time | python |
| --- | --- |
| Jan 2004 | 0 |
| Feb 2004 | 0 |
| Mar 2004 | 0 |
| Apr 2004 | 0 |
| May 2004 | 0 |
| Jun 2004 | 0 |
| Jul 2004 | 0 |
| Aug 2004 | 0 |
| Sep 2004 | 1 |
| Oct 2004 | 0 |
| Nov 2004 | 0 |
| Dec 2004 | 1 |
| Jan 2005 | 1 |
| Feb 2005 | 1 |
| Mar 2005 | 0 |
| Apr 2005 | 1 |
| May 2005 | 1 |
| Jun 2005 | 1 |
| Jul 2005 | 1 |
| Aug 2005 | 1 |
| Sep 2005 | 1 |
| Oct 2005 | 1 |
| Nov 2005 | 1 |
| Dec 2005 | 1 |
| Jan 2006 | 1 |
| Feb 2006 | 1 |
| Mar 2006 | 1 |
| Apr 2006 | 1 |
| May 2006 | 1 |
| Jun 2006 | 1 |
| Jul 2006 | 1 |
| Aug 2006 | 1 |
| Sep 2006 | 1 |
| Oct 2006 | 1 |
| Nov 2006 | 1 |
| Dec 2006 | 1 |
| Jan 2007 | 1 |
| Feb 2007 | 1 |
| Mar 2007 | 1 |
| Apr 2007 | 1 |
| May 2007 | 1 |
| Jun 2007 | 1 |
| Jul 2007 | 1 |
| Aug 2007 | 1 |
| Sep 2007 | 1 |
| Oct 2007 | 1 |
| Nov 2007 | 1 |
| Dec 2007 | 1 |
| Jan 2008 | 1 |
| Feb 2008 | 1 |
| Mar 2008 | 1 |
| Apr 2008 | 1 |
| May 2008 | 1 |
| Jun 2008 | 1 |
| Jul 2008 | 1 |
| Aug 2008 | 1 |
| Sep 2008 | 1 |
| Oct 2008 | 1 |
| Nov 2008 | 1 |
| Dec 2008 | 1 |
| Jan 2009 | 1 |
| Feb 2009 | 1 |
| Mar 2009 | 1 |
| Apr 2009 | 1 |
| May 2009 | 1 |
| Jun 2009 | 1 |
| Jul 2009 | 1 |
| Aug 2009 | 1 |
| Sep 2009 | 2 |
| Oct 2009 | 1 |
| Nov 2009 | 1 |
| Dec 2009 | 1 |
| Jan 2010 | 1 |
| Feb 2010 | 1 |
| Mar 2010 | 1 |
| Apr 2010 | 2 |
| May 2010 | 2 |
| Jun 2010 | 2 |
| Jul 2010 | 2 |
| Aug 2010 | 2 |
| Sep 2010 | 2 |
| Oct 2010 | 2 |
| Nov 2010 | 2 |
| Dec 2010 | 3 |
| Jan 2011 | 2 |
| Feb 2011 | 2 |
| Mar 2011 | 2 |
| Apr 2011 | 2 |
| May 2011 | 2 |
| Jun 2011 | 2 |
| Jul 2011 | 2 |
| Aug 2011 | 2 |
| Sep 2011 | 2 |
| Oct 2011 | 1 |
| Nov 2011 | 2 |
| Dec 2011 | 2 |
| Jan 2012 | 1 |
| Feb 2012 | 1 |
| Mar 2012 | 2 |
| Apr 2012 | 1 |
| May 2012 | 2 |
| Jun 2012 | 1 |
| Jul 2012 | 2 |
| Aug 2012 | 2 |
| Sep 2012 | 4 |
| Oct 2012 | 4 |
| Nov 2012 | 4 |
| Dec 2012 | 4 |
| Jan 2013 | 5 |
| Feb 2013 | 4 |
| Mar 2013 | 5 |
| Apr 2013 | 6 |
| May 2013 | 6 |
| Jun 2013 | 5 |
| Jul 2013 | 6 |
| Aug 2013 | 6 |
| Sep 2013 | 6 |
| Oct 2013 | 6 |
| Nov 2013 | 7 |
| Dec 2013 | 8 |
| Jan 2014 | 7 |
| Feb 2014 | 6 |
| Mar 2014 | 8 |
| Apr 2014 | 8 |
| May 2014 | 8 |
| Jun 2014 | 12 |
| Jul 2014 | 20 |
| Aug 2014 | 23 |
| Sep 2014 | 25 |
| Oct 2014 | 23 |
| Nov 2014 | 31 |
| Dec 2014 | 31 |
| Jan 2015 | 44 |
| Feb 2015 | 36 |
| Mar 2015 | 42 |
| Apr 2015 | 43 |
| May 2015 | 45 |
| Jun 2015 | 46 |
| Jul 2015 | 58 |
| Aug 2015 | 59 |
| Sep 2015 | 58 |
| Oct 2015 | 57 |
| Nov 2015 | 69 |
| Dec 2015 | 75 |
| Jan 2016 | 56 |
| Feb 2016 | 49 |
| Mar 2016 | 63 |
| Apr 2016 | 61 |
| May 2016 | 57 |
| Jun 2016 | 57 |
| Jul 2016 | 70 |
| Aug 2016 | 73 |
| Sep 2016 | 63 |
| Oct 2016 | 63 |
| Nov 2016 | 79 |
| Dec 2016 | 85 |
| Jan 2017 | 74 |
| Feb 2017 | 83 |
| Mar 2017 | 99 |
| Apr 2017 | 89 |
| May 2017 | 83 |
| Jun 2017 | 84 |
| Jul 2017 | 92 |
| Aug 2017 | 97 |
| Sep 2017 | 89 |
| Oct 2017 | 73 |
| Nov 2017 | 85 |
| Dec 2017 | 91 |
| Jan 2018 | 93 |
| Feb 2018 | 68 |
| Mar 2018 | 89 |
| Apr 2018 | 90 |
| May 2018 | 98 |
| Jun 2018 | 87 |
| Jul 2018 | 95 |
| Aug 2018 | 99 |
| Sep 2018 | 91 |
| Oct 2018 | 82 |
| Nov 2018 | 90 |
| Dec 2018 | 94 |
| Jan 2019 | 88 |
| Feb 2019 | 74 |
| Mar 2019 | 95 |
| Apr 2019 | 94 |
| May 2019 | 84 |
| Jun 2019 | 79 |
| Jul 2019 | 89 |
| Aug 2019 | 90 |
| Sep 2019 | 84 |
| Oct 2019 | 71 |
| Nov 2019 | 79 |
| Dec 2019 | 81 |
| Jan 2020 | 60 |
| Feb 2020 | 54 |
| Mar 2020 | 72 |
| Apr 2020 | 78 |
| May 2020 | 75 |
| Jun 2020 | 78 |
| Jul 2020 | 86 |
| Aug 2020 | 87 |
| Sep 2020 | 83 |
| Oct 2020 | 73 |
| Nov 2020 | 78 |
| Dec 2020 | 83 |
| Jan 2021 | 78 |
| Feb 2021 | 62 |
| Mar 2021 | 91 |
| Apr 2021 | 89 |
| May 2021 | 83 |
| Jun 2021 | 89 |
| Jul 2021 | 96 |
| Aug 2021 | 92 |
| Sep 2021 | 100 |
| Oct 2021 | 86 |
| Nov 2021 | 94 |
| Dec 2021 | 94 |
| Jan 2022 | 92 |
| Feb 2022 | 82 |
| Mar 2022 | 91 |
| Apr 2022 | 89 |
| May 2022 | 82 |
| Jun 2022 | 83 |
| Jul 2022 | 86 |
| Aug 2022 | 89 |
| Sep 2022 | 87 |
| Oct 2022 | 78 |
| Nov 2022 | 84 |
| Dec 2022 | 71 |
| Jan 2023 | 63 |
| Feb 2023 | 79 |
| Mar 2023 | 79 |
| Apr 2023 | 69 |
| May 2023 | 63 |
| Jun 2023 | 60 |
| Jul 2023 | 64 |
| Aug 2023 | 66 |
| Sep 2023 | 60 |
| Oct 2023 | 54 |
| Nov 2023 | 62 |
| Dec 2023 | 58 |
| Jan 2024 | 56 |
| Feb 2024 | 46 |
| Mar 2024 | 51 |
| Apr 2024 | 50 |
| May 2024 | 46 |
| Jun 2024 | 43 |
| Jul 2024 | 46 |
| Aug 2024 | 40 |
| Sep 2024 | 39 |
| Oct 2024 | 34 |
| Nov 2024 | 34 |
| Dec 2024 | 33 |
| Jan 2025 | 27 |
| Feb 2025 | 30 |
| Mar 2025 | 31 |
| Apr 2025 | 27 |
| May 2025 | 23 |
| Jun 2025 | 23 |
| Jul 2025 | 24 |
| Aug 2025 | 18 |
| Sep 2025 | 18 |
| Oct 2025 | 18 |
| Nov 2025 | 21 |
| Dec 2025 | 16 |
| Jan 2026 | 9 |
| Feb 2026 | 10 |
| Mar 2026 | 12 |
| Apr 2026 | 40 |
| May 2026 | 9 |
| Jun 2026 | 9 |
| Jul 2026 | 10 |
| Aug 2026 | 7 |
| Sep 2026 | 9 |
| Oct 2026 (partial) | 10 |

## Interest by region

| Place | python |
| --- | --- |
| [Tianjin](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-12&date=all) | 100 |
| [Beijing](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-11&date=all) | 77 |
| [Guangdong](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-44&date=all) | 76 |
| [Shanghai](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-31&date=all) | 60 |
| [Zhejiang](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-33&date=all) | 46 |
| [Sichuan](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-51&date=all) | 29 |
| [Shaanxi](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-61&date=all) | 28 |
| [Jiangsu](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-32&date=all) | 24 |
| [Hubei](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-42&date=all) | 23 |
| [Anhui](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-34&date=all) | 22 |
| [Fujian](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-35&date=all) | 17 |
| [Hainan](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-46&date=all) | 17 |
| [Chongqing](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-50&date=all) | 13 |
| [Hunan](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-43&date=all) | 13 |
| [Liaoning](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-21&date=all) | 12 |
| [Qinghai](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-63&date=all) | 12 |
| [Shandong](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-37&date=all) | 10 |
| [Tibet](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-54&date=all) | 10 |
| [Heilongjiang](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-23&date=all) | 9 |
| [Henan](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-41&date=all) | 8 |
| [Jiangxi](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-36&date=all) | 8 |
| [Yunnan](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-53&date=all) | 8 |
| [Jilin](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-22&date=all) | 7 |
| [Gansu](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-62&date=all) | 6 |
| [Guangxi](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-45&date=all) | 6 |
| [Guizhou](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-52&date=all) | 5 |
| [Hebei](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-13&date=all) | 5 |
| [Inner Mongolia](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-15&date=all) | 5 |
| [Xinjiang](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-65&date=all) | 5 |
| [Ningxia](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-64&date=all) | 4 |
| [Shanxi](https://trends.firecrawl.dev/explore.md?q=python&geo=CN-14&date=all) | 4 |

## Related searches for "python"

### Top

1. [python list](https://trends.firecrawl.dev/explore.md?q=python+list&geo=CN&date=all): 100
2. [python 安装](https://trends.firecrawl.dev/explore.md?q=python+%E5%AE%89%E8%A3%85&geo=CN&date=all): 68
3. [python string](https://trends.firecrawl.dev/explore.md?q=python+string&geo=CN&date=all): 65
4. [python 字符 串](https://trends.firecrawl.dev/explore.md?q=python+%E5%AD%97%E7%AC%A6+%E4%B8%B2&geo=CN&date=all): 62
5. [python for](https://trends.firecrawl.dev/explore.md?q=python+for&geo=CN&date=all): 59
6. [python json](https://trends.firecrawl.dev/explore.md?q=python+json&geo=CN&date=all): 47
7. [python with](https://trends.firecrawl.dev/explore.md?q=python+with&geo=CN&date=all): 44
8. [python dict](https://trends.firecrawl.dev/explore.md?q=python+dict&geo=CN&date=all): 43
9. [python 教程](https://trends.firecrawl.dev/explore.md?q=python+%E6%95%99%E7%A8%8B&geo=CN&date=all): 40
10. [pip](https://trends.firecrawl.dev/explore.md?q=pip&geo=CN&date=all): 35
11. [python 下载](https://trends.firecrawl.dev/explore.md?q=python+%E4%B8%8B%E8%BD%BD&geo=CN&date=all): 35
12. [python import](https://trends.firecrawl.dev/explore.md?q=python+import&geo=CN&date=all): 34
13. [python 中文](https://trends.firecrawl.dev/explore.md?q=python+%E4%B8%AD%E6%96%87&geo=CN&date=all): 33
14. [python3](https://trends.firecrawl.dev/explore.md?q=python3&geo=CN&date=all): 32
15. [python 字典](https://trends.firecrawl.dev/explore.md?q=python+%E5%AD%97%E5%85%B8&geo=CN&date=all): 29
16. [python pandas](https://trends.firecrawl.dev/explore.md?q=python+pandas&geo=CN&date=all): 29
17. [numpy](https://trends.firecrawl.dev/explore.md?q=numpy&geo=CN&date=all): 29
18. [python set](https://trends.firecrawl.dev/explore.md?q=python+set&geo=CN&date=all): 29
19. [python mysql](https://trends.firecrawl.dev/explore.md?q=python+mysql&geo=CN&date=all): 25
20. [python 数组](https://trends.firecrawl.dev/explore.md?q=python+%E6%95%B0%E7%BB%84&geo=CN&date=all): 25
21. [python 是 什么](https://trends.firecrawl.dev/explore.md?q=python+%E6%98%AF+%E4%BB%80%E4%B9%88&geo=CN&date=all): 25
22. [python print](https://trends.firecrawl.dev/explore.md?q=python+print&geo=CN&date=all): 25
23. [pycharm](https://trends.firecrawl.dev/explore.md?q=pycharm&geo=CN&date=all): 23
24. [django](https://trends.firecrawl.dev/explore.md?q=django&geo=CN&date=all): 23
25. [python if](https://trends.firecrawl.dev/explore.md?q=python+if&geo=CN&date=all): 23

### Rising

1. [python string](https://trends.firecrawl.dev/explore.md?q=python+string&geo=CN&date=all): Breakout
2. [python json](https://trends.firecrawl.dev/explore.md?q=python+json&geo=CN&date=all): Breakout
3. [python dict](https://trends.firecrawl.dev/explore.md?q=python+dict&geo=CN&date=all): Breakout
4. [pip](https://trends.firecrawl.dev/explore.md?q=pip&geo=CN&date=all): Breakout
5. [python3](https://trends.firecrawl.dev/explore.md?q=python3&geo=CN&date=all): Breakout
6. [python 字典](https://trends.firecrawl.dev/explore.md?q=python+%E5%AD%97%E5%85%B8&geo=CN&date=all): Breakout
7. [python pandas](https://trends.firecrawl.dev/explore.md?q=python+pandas&geo=CN&date=all): Breakout
8. [python set](https://trends.firecrawl.dev/explore.md?q=python+set&geo=CN&date=all): Breakout
9. [python 数组](https://trends.firecrawl.dev/explore.md?q=python+%E6%95%B0%E7%BB%84&geo=CN&date=all): Breakout
10. [pycharm](https://trends.firecrawl.dev/explore.md?q=pycharm&geo=CN&date=all): Breakout
11. [django](https://trends.firecrawl.dev/explore.md?q=django&geo=CN&date=all): Breakout
12. [python if](https://trends.firecrawl.dev/explore.md?q=python+if&geo=CN&date=all): Breakout
13. [python django](https://trends.firecrawl.dev/explore.md?q=python+django&geo=CN&date=all): Breakout
14. [python 读 文件](https://trends.firecrawl.dev/explore.md?q=python+%E8%AF%BB+%E6%96%87%E4%BB%B6&geo=CN&date=all): Breakout
15. [python open](https://trends.firecrawl.dev/explore.md?q=python+open&geo=CN&date=all): Breakout
16. [python csv](https://trends.firecrawl.dev/explore.md?q=python+csv&geo=CN&date=all): Breakout
17. [python requests](https://trends.firecrawl.dev/explore.md?q=python+requests&geo=CN&date=all): Breakout
18. [python split](https://trends.firecrawl.dev/explore.md?q=python+split&geo=CN&date=all): Breakout
19. [python flask](https://trends.firecrawl.dev/explore.md?q=python+flask&geo=CN&date=all): Breakout
20. [pytorch](https://trends.firecrawl.dev/explore.md?q=pytorch&geo=CN&date=all): Breakout
21. [python random](https://trends.firecrawl.dev/explore.md?q=python+random&geo=CN&date=all): Breakout
22. [python sort](https://trends.firecrawl.dev/explore.md?q=python+sort&geo=CN&date=all): Breakout
23. [python 爬虫](https://trends.firecrawl.dev/explore.md?q=python+%E7%88%AC%E8%99%AB&geo=CN&date=all): Breakout
24. [python request](https://trends.firecrawl.dev/explore.md?q=python+request&geo=CN&date=all): Breakout
25. [python redis](https://trends.firecrawl.dev/explore.md?q=python+redis&geo=CN&date=all): Breakout

Compare: "python". Observed 2026-10-16T05:09:57.728Z.