Google Google Web search, Academic Search

Source: Internet
Author: User

google Google Web search, Academic Search

1. Web search engine-google

* https://letsgg.tk/

* https://google.kfd.me/

Google search Image: http://dir.scmor.com/google/

2. Academic search engine, including Google, Baidu, Microsoft ... such as

--Website: http://guog.org/

3. Google Github Code Search

Google and GitHub have announced that Google BigQuery now provides a complete snapshot of 280多万个 hosted open source projects on GitHub. This allows users to query nearly 2 billion open source files hosted on GitHub using SQL queries.

GitHub's bigquery datasets are based on the GitHub Archive Project , which is designed to capture snapshots at specific points in time for GitHub, so that storage can be used for further analysis. With GitHub's BigQuery dataset, you can now query the content of the GitHub Archive project with any SQL-like query at any time.

Arfon Smith, an open source project manager at GitHub, cites an example of a new BigQuery dataset that can be used to find out which go packages are most commonly used , or which American schools have the most open source contributors . In general, he says, the dataset also helps researchers study open source communities or the latest trends in development.

Google development Ambassador Felipe Hoffa added several examples of potential uses, such as identifying each project using a given open source library, or analyzing how it is used to gather useful data to determine the future direction of that library.

In a post published on Medium, Hoffa lists a number of queries created by Google engineers and other developers. These queries can be used to analyze go programs to find the most common Java imports , the most commonly used angular instructions , and the most commonly used emacs packages .

GitHub's BigQuery dataset contains approximately 1.5TB of data and is automatically updated every hour. Here are the basic steps to use:

    • login to Google developer console;
    • Create a project ;
    • activating the BigQuery API;
    • Open the GitHub public dataset and execute the query.

Google provides 1TB of data processing for free every month, but, as Google Development Ambassadors give us a reminder , in the main data set (bigquery-public-data:github_ repos.contents) executes a query that will run out of 1TB of free data. As a result, he suggests using the official extract of 23GB (bigquery-public-data:github_repos.sample_contents) or any excerpt from Google that focuses on popular language, such as go, Ruby, JavaScript, PHP, Python, and Java. BigQuery can also be used to create custom datasets, but in this case the user will be charged for storage.

Google bigquery Public data sets are a set of datasets that Google provides through BigQuery, based on a special program, that users pay only for the queries they perform, but do not pay for the dataset storage. Other datasets provided by Google's BigQuery public data set include the American name, Hacker news stories and comments since 2006, global climate data between 1029 and 2016, and more.

Google Google Web search, Academic Search

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