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This article will explain in detail the example analysis of Python replacing Java on GitHub. The editor thinks it is very practical, so I share it with you for reference. I hope you can get something after reading this article.

According to GitHub's 2019 GitHub report on the use of popular code-sharing sites, Python has become the second most popular language in GitHub, surpassing Java for the first time and second only to JavaScript.

GitHub's explanation is that data science professionals and amateurs are increasingly using Python to promote the development of Python. The ranking is based on the number of unique contributors to public and private buybacks marked in the appropriate primary language.

After JavaScript,Python and Java, the most popular languages on GitHub are PHP,C#,C + +, TypeScript,Shell,C and Ruby. The big winners of the year include Dart,Rust,HCL,Kotlin,TypeScript,Apex,Python,Assembly and Go. Last year, developers collaborated on GitHub in more than 370 languages, according to the GitHub report.

In the Octoverse status report based on data from October 1 to September 30, 2018, the 2019 GitHub also took note of these additional findings:

There are 40 million developers on GitHub, 80% of whom are from outside the United States. Last year, 10 million people joined, of whom 1.3 million made the first contribution to open source.

In the past year, more than 44 million repurchase agreements have been created.

Dependencies are the key in GitHub repositories. On average, each public and private warehouse relies on more than 200 software packages.

Since GitHub launched its security alerts feature in November, the community has fixed more than 7 million vulnerability alerts.

Over the past three years, the use of Jupyter laptops has grown by more than 100% a year. These figures are based on the number of repurchase agreements that refer to Jupyter as its primary language.

The number of contributors to the Python-friendly TensorFlow machine learning library has increased from 2238 to 25166 (when total dependencies are included).

Natural language processing is becoming more and more popular on GitHub, and software packages such as NLTK have lowered the barriers to entry.

GitHub's language ranking is different from the Tiobe language popularity index, which assesses language popularity based on a formula for calculating the number of searches in popular search engines. Tiobe's index this month ranked Java first, followed by C, followed by Python.

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