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From Python 0.9's public release in 1991 it has grown to be one of the most widely used programming languages, including prominence in many domains from web apps to machine learning. While there is never going to be any single explanation of why or how Python reached this point, Python's past can help inform our collective future. In this talk I will introduce a novel Python tool for interactive text analytics to tell a recent history of Python, as seen through the Python questions and answers on Stack Overflow.
python software trends
python software trends
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 16 | |
| downloads | 6 |

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