Python Data Analytics Libraries

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

Microsoft's SQL Server is one of the most watched products in the database market. SQL Server is almost second in the list of database Db-engines published every month in the database Knowledge Web site. 　　But from this list of monthly changes can also be seen, a large number of NoSQL database rankings rising, has begun to threaten the status of traditional databases. "Quo" is no longer a big data age should be the strategy, the old database manufacturers in the maintenance of traditional market-leading foundation, and constantly expand the new market, Microsoft ...

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day. 　　Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley. 　　It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...