# Interest over time: python

DK · 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 | 23 |
| Feb 2004 | 21 |
| Mar 2004 | 21 |
| Apr 2004 | 18 |
| May 2004 | 18 |
| Jun 2004 | 20 |
| Jul 2004 | 15 |
| Aug 2004 | 19 |
| Sep 2004 | 23 |
| Oct 2004 | 21 |
| Nov 2004 | 22 |
| Dec 2004 | 20 |
| Jan 2005 | 20 |
| Feb 2005 | 16 |
| Mar 2005 | 17 |
| Apr 2005 | 15 |
| May 2005 | 22 |
| Jun 2005 | 21 |
| Jul 2005 | 26 |
| Aug 2005 | 22 |
| Sep 2005 | 22 |
| Oct 2005 | 22 |
| Nov 2005 | 22 |
| Dec 2005 | 17 |
| Jan 2006 | 21 |
| Feb 2006 | 19 |
| Mar 2006 | 20 |
| Apr 2006 | 16 |
| May 2006 | 19 |
| Jun 2006 | 23 |
| Jul 2006 | 19 |
| Aug 2006 | 16 |
| Sep 2006 | 20 |
| Oct 2006 | 17 |
| Nov 2006 | 18 |
| Dec 2006 | 20 |
| Jan 2007 | 15 |
| Feb 2007 | 19 |
| Mar 2007 | 18 |
| Apr 2007 | 17 |
| May 2007 | 19 |
| Jun 2007 | 17 |
| Jul 2007 | 16 |
| Aug 2007 | 18 |
| Sep 2007 | 18 |
| Oct 2007 | 17 |
| Nov 2007 | 19 |
| Dec 2007 | 17 |
| Jan 2008 | 14 |
| Feb 2008 | 18 |
| Mar 2008 | 14 |
| Apr 2008 | 16 |
| May 2008 | 16 |
| Jun 2008 | 13 |
| Jul 2008 | 17 |
| Aug 2008 | 16 |
| Sep 2008 | 16 |
| Oct 2008 | 16 |
| Nov 2008 | 15 |
| Dec 2008 | 14 |
| Jan 2009 | 15 |
| Feb 2009 | 17 |
| Mar 2009 | 17 |
| Apr 2009 | 17 |
| May 2009 | 16 |
| Jun 2009 | 14 |
| Jul 2009 | 18 |
| Aug 2009 | 14 |
| Sep 2009 | 19 |
| Oct 2009 | 20 |
| Nov 2009 | 19 |
| Dec 2009 | 16 |
| Jan 2010 | 15 |
| Feb 2010 | 16 |
| Mar 2010 | 16 |
| Apr 2010 | 16 |
| May 2010 | 17 |
| Jun 2010 | 17 |
| Jul 2010 | 17 |
| Aug 2010 | 17 |
| Sep 2010 | 17 |
| Oct 2010 | 17 |
| Nov 2010 | 17 |
| Dec 2010 | 17 |
| Jan 2011 | 15 |
| Feb 2011 | 15 |
| Mar 2011 | 15 |
| Apr 2011 | 16 |
| May 2011 | 17 |
| Jun 2011 | 14 |
| Jul 2011 | 13 |
| Aug 2011 | 15 |
| Sep 2011 | 17 |
| Oct 2011 | 17 |
| Nov 2011 | 19 |
| Dec 2011 | 15 |
| Jan 2012 | 14 |
| Feb 2012 | 16 |
| Mar 2012 | 16 |
| Apr 2012 | 15 |
| May 2012 | 15 |
| Jun 2012 | 15 |
| Jul 2012 | 15 |
| Aug 2012 | 16 |
| Sep 2012 | 18 |
| Oct 2012 | 17 |
| Nov 2012 | 18 |
| Dec 2012 | 16 |
| Jan 2013 | 18 |
| Feb 2013 | 18 |
| Mar 2013 | 16 |
| Apr 2013 | 18 |
| May 2013 | 18 |
| Jun 2013 | 19 |
| Jul 2013 | 17 |
| Aug 2013 | 18 |
| Sep 2013 | 19 |
| Oct 2013 | 21 |
| Nov 2013 | 25 |
| Dec 2013 | 21 |
| Jan 2014 | 20 |
| Feb 2014 | 19 |
| Mar 2014 | 20 |
| Apr 2014 | 19 |
| May 2014 | 20 |
| Jun 2014 | 20 |
| Jul 2014 | 32 |
| Aug 2014 | 20 |
| Sep 2014 | 22 |
| Oct 2014 | 23 |
| Nov 2014 | 23 |
| Dec 2014 | 22 |
| Jan 2015 | 21 |
| Feb 2015 | 23 |
| Mar 2015 | 23 |
| Apr 2015 | 23 |
| May 2015 | 22 |
| Jun 2015 | 22 |
| Jul 2015 | 21 |
| Aug 2015 | 21 |
| Sep 2015 | 25 |
| Oct 2015 | 24 |
| Nov 2015 | 26 |
| Dec 2015 | 25 |
| Jan 2016 | 27 |
| Feb 2016 | 29 |
| Mar 2016 | 27 |
| Apr 2016 | 27 |
| May 2016 | 29 |
| Jun 2016 | 27 |
| Jul 2016 | 22 |
| Aug 2016 | 24 |
| Sep 2016 | 33 |
| Oct 2016 | 32 |
| Nov 2016 | 35 |
| Dec 2016 | 31 |
| Jan 2017 | 35 |
| Feb 2017 | 39 |
| Mar 2017 | 37 |
| Apr 2017 | 35 |
| May 2017 | 36 |
| Jun 2017 | 36 |
| Jul 2017 | 31 |
| Aug 2017 | 36 |
| Sep 2017 | 42 |
| Oct 2017 | 42 |
| Nov 2017 | 41 |
| Dec 2017 | 37 |
| Jan 2018 | 37 |
| Feb 2018 | 42 |
| Mar 2018 | 39 |
| Apr 2018 | 39 |
| May 2018 | 39 |
| Jun 2018 | 40 |
| Jul 2018 | 35 |
| Aug 2018 | 39 |
| Sep 2018 | 46 |
| Oct 2018 | 50 |
| Nov 2018 | 45 |
| Dec 2018 | 36 |
| Jan 2019 | 41 |
| Feb 2019 | 45 |
| Mar 2019 | 47 |
| Apr 2019 | 40 |
| May 2019 | 40 |
| Jun 2019 | 36 |
| Jul 2019 | 39 |
| Aug 2019 | 42 |
| Sep 2019 | 44 |
| Oct 2019 | 50 |
| Nov 2019 | 46 |
| Dec 2019 | 41 |
| Jan 2020 | 45 |
| Feb 2020 | 49 |
| Mar 2020 | 47 |
| Apr 2020 | 47 |
| May 2020 | 45 |
| Jun 2020 | 48 |
| Jul 2020 | 38 |
| Aug 2020 | 44 |
| Sep 2020 | 59 |
| Oct 2020 | 44 |
| Nov 2020 | 43 |
| Dec 2020 | 36 |
| Jan 2021 | 39 |
| Feb 2021 | 48 |
| Mar 2021 | 43 |
| Apr 2021 | 39 |
| May 2021 | 41 |
| Jun 2021 | 42 |
| Jul 2021 | 32 |
| Aug 2021 | 40 |
| Sep 2021 | 53 |
| Oct 2021 | 51 |
| Nov 2021 | 54 |
| Dec 2021 | 44 |
| Jan 2022 | 57 |
| Feb 2022 | 89 |
| Mar 2022 | 100 |
| Apr 2022 | 81 |
| May 2022 | 79 |
| Jun 2022 | 70 |
| Jul 2022 | 47 |
| Aug 2022 | 54 |
| Sep 2022 | 89 |
| Oct 2022 | 83 |
| Nov 2022 | 88 |
| Dec 2022 | 66 |
| Jan 2023 | 69 |
| Feb 2023 | 84 |
| Mar 2023 | 86 |
| Apr 2023 | 60 |
| May 2023 | 62 |
| Jun 2023 | 56 |
| Jul 2023 | 47 |
| Aug 2023 | 57 |
| Sep 2023 | 80 |
| Oct 2023 | 76 |
| Nov 2023 | 73 |
| Dec 2023 | 53 |
| Jan 2024 | 62 |
| Feb 2024 | 76 |
| Mar 2024 | 59 |
| Apr 2024 | 61 |
| May 2024 | 54 |
| Jun 2024 | 51 |
| Jul 2024 | 45 |
| Aug 2024 | 49 |
| Sep 2024 | 63 |
| Oct 2024 | 55 |
| Nov 2024 | 58 |
| Dec 2024 | 51 |
| Jan 2025 | 52 |
| Feb 2025 | 60 |
| Mar 2025 | 52 |
| Apr 2025 | 46 |
| May 2025 | 46 |
| Jun 2025 | 40 |
| Jul 2025 | 34 |
| Aug 2025 | 37 |
| Sep 2025 | 50 |
| Oct 2025 | 49 |
| Nov 2025 | 51 |
| Dec 2025 | 44 |
| Jan 2026 | 41 |
| Feb 2026 | 47 |
| Mar 2026 | 45 |
| Apr 2026 | 43 |
| May 2026 | 35 |
| Jun 2026 | 30 |
| Jul 2026 | 27 |
| Aug 2026 | 23 |
| Sep 2026 | 35 |
| Oct 2026 (partial) | 28 |

## Interest by region

| Place | python |
| --- | --- |
| [Capital Region of Denmark](https://trends.firecrawl.dev/explore.md?q=python&geo=DK-84&date=all) | 100 |
| [Central Denmark Region](https://trends.firecrawl.dev/explore.md?q=python&geo=DK-82&date=all) | 57 |
| [North Denmark Region](https://trends.firecrawl.dev/explore.md?q=python&geo=DK-81&date=all) | 56 |
| [Region Syddanmark](https://trends.firecrawl.dev/explore.md?q=python&geo=DK-83&date=all) | 45 |
| [Region Zealand](https://trends.firecrawl.dev/explore.md?q=python&geo=DK-85&date=all) | 39 |

## Related searches for "python"

### Top

1. [python list](https://trends.firecrawl.dev/explore.md?q=python+list&geo=DK&date=all): 100
2. [python string](https://trends.firecrawl.dev/explore.md?q=python+string&geo=DK&date=all): 77
3. [monty python](https://trends.firecrawl.dev/explore.md?q=monty+python&geo=DK&date=all): 67
4. [python if](https://trends.firecrawl.dev/explore.md?q=python+if&geo=DK&date=all): 47
5. [python install](https://trends.firecrawl.dev/explore.md?q=python+install&geo=DK&date=all): 47
6. [python code](https://trends.firecrawl.dev/explore.md?q=python+code&geo=DK&date=all): 42
7. [python array](https://trends.firecrawl.dev/explore.md?q=python+array&geo=DK&date=all): 41
8. [pandas python](https://trends.firecrawl.dev/explore.md?q=pandas+python&geo=DK&date=all): 41
9. [python function](https://trends.firecrawl.dev/explore.md?q=python+function&geo=DK&date=all): 40
10. [numpy](https://trends.firecrawl.dev/explore.md?q=numpy&geo=DK&date=all): 31
11. [python print](https://trends.firecrawl.dev/explore.md?q=python+print&geo=DK&date=all): 28
12. [python loop](https://trends.firecrawl.dev/explore.md?q=python+loop&geo=DK&date=all): 28
13. [python plot](https://trends.firecrawl.dev/explore.md?q=python+plot&geo=DK&date=all): 26
14. [python set](https://trends.firecrawl.dev/explore.md?q=python+set&geo=DK&date=all): 25
15. [python script](https://trends.firecrawl.dev/explore.md?q=python+script&geo=DK&date=all): 24
16. [download python](https://trends.firecrawl.dev/explore.md?q=download+python&geo=DK&date=all): 24
17. [python dict](https://trends.firecrawl.dev/explore.md?q=python+dict&geo=DK&date=all): 23
18. [python class](https://trends.firecrawl.dev/explore.md?q=python+class&geo=DK&date=all): 22
19. [python pip](https://trends.firecrawl.dev/explore.md?q=python+pip&geo=DK&date=all): 21
20. [python time](https://trends.firecrawl.dev/explore.md?q=python+time&geo=DK&date=all): 21
21. [python dictionary](https://trends.firecrawl.dev/explore.md?q=python+dictionary&geo=DK&date=all): 21
22. [python json](https://trends.firecrawl.dev/explore.md?q=python+json&geo=DK&date=all): 19
23. [python path](https://trends.firecrawl.dev/explore.md?q=python+path&geo=DK&date=all): 18
24. [matplotlib](https://trends.firecrawl.dev/explore.md?q=matplotlib&geo=DK&date=all): 17
25. [python for loop](https://trends.firecrawl.dev/explore.md?q=python+for+loop&geo=DK&date=all): 17

### Rising

1. [python array](https://trends.firecrawl.dev/explore.md?q=python+array&geo=DK&date=all): Breakout
2. [pandas python](https://trends.firecrawl.dev/explore.md?q=pandas+python&geo=DK&date=all): Breakout
3. [python plot](https://trends.firecrawl.dev/explore.md?q=python+plot&geo=DK&date=all): Breakout
4. [python dict](https://trends.firecrawl.dev/explore.md?q=python+dict&geo=DK&date=all): Breakout
5. [python class](https://trends.firecrawl.dev/explore.md?q=python+class&geo=DK&date=all): Breakout
6. [python pip](https://trends.firecrawl.dev/explore.md?q=python+pip&geo=DK&date=all): Breakout
7. [python time](https://trends.firecrawl.dev/explore.md?q=python+time&geo=DK&date=all): Breakout
8. [python json](https://trends.firecrawl.dev/explore.md?q=python+json&geo=DK&date=all): Breakout
9. [python path](https://trends.firecrawl.dev/explore.md?q=python+path&geo=DK&date=all): Breakout
10. [matplotlib](https://trends.firecrawl.dev/explore.md?q=matplotlib&geo=DK&date=all): Breakout
11. [github](https://trends.firecrawl.dev/explore.md?q=github&geo=DK&date=all): Breakout
12. [python programming](https://trends.firecrawl.dev/explore.md?q=python+programming&geo=DK&date=all): Breakout
13. [python append](https://trends.firecrawl.dev/explore.md?q=python+append&geo=DK&date=all): Breakout
14. [python random](https://trends.firecrawl.dev/explore.md?q=python+random&geo=DK&date=all): Breakout
15. [python online](https://trends.firecrawl.dev/explore.md?q=python+online&geo=DK&date=all): Breakout
16. [anaconda python](https://trends.firecrawl.dev/explore.md?q=anaconda+python&geo=DK&date=all): Breakout
17. [python read file](https://trends.firecrawl.dev/explore.md?q=python+read+file&geo=DK&date=all): Breakout
18. [ball python](https://trends.firecrawl.dev/explore.md?q=ball+python&geo=DK&date=all): Breakout
19. [anaconda](https://trends.firecrawl.dev/explore.md?q=anaconda&geo=DK&date=all): Breakout
20. [python lists](https://trends.firecrawl.dev/explore.md?q=python+lists&geo=DK&date=all): Breakout
21. [django](https://trends.firecrawl.dev/explore.md?q=django&geo=DK&date=all): Breakout
22. [pycharm](https://trends.firecrawl.dev/explore.md?q=pycharm&geo=DK&date=all): Breakout
23. [python tuple](https://trends.firecrawl.dev/explore.md?q=python+tuple&geo=DK&date=all): Breakout
24. [python regex](https://trends.firecrawl.dev/explore.md?q=python+regex&geo=DK&date=all): Breakout
25. [python map](https://trends.firecrawl.dev/explore.md?q=python+map&geo=DK&date=all): Breakout

Compare: "python". Observed 2026-10-16T03:51:21.263Z.