Python Projects List

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall This article is for the SEO crowd's Python programming language introductory course, also applies to other does not have the program Foundation but wants to learn some procedures, solves the simple actual application demand the crowd. 　　In the later will try to use the most basic angle to introduce this language. 　　I was going to find an introductory tutorial on the Internet, but since Python is rarely the language that programmers learn in their first contact program, it's not much of an online tutorial, or a decision to write it yourself. If not ...

With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

The end of 2013, we based on the past year's user access, exchange and sharing and the project itself update frequency and other aspects of the open source China's nearly 30,000 open source software statistics, so that the top 10 most popular open source software, for reference only. The list is mainly for domestic open source software, the list of 10 open source software is not the same type, although put together is not very scientific. 　　We only select from a few angles, including user access, software updates, and user discussion of the software. 1. Goagent ...

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 ...

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.

Blockchains have recently become more and more popular, with companies, stocks and products related to the concept of countless blockchains. There is even a blockchain phone.

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Recently, Airbnb machine learning infrastructure has been improved, making the cost of deploying new machine learning models into production environments much lower. For example, our ML Infra team built a common feature library that allows users to apply more high-quality, filtered, reusable features to their models.

Overview How to deal with high concurrency, large traffic? How to ensure data security and database throughput? How do I make data table changes under massive data? Doubanfs and DOUBANDB characteristics and technology implementation? During the QConBeijing2009, the Infoq Chinese station was fortunate enough to interview Hong Qiangning and discuss related topics. Personal Profile Hong Qiangning, graduated from Tsinghua University in 2002, is currently the chief architect of Beijing Watercress Interactive Technology Co., Ltd. Hong Qiangning and his technical team are committed to using technology to improve people's culture and quality of life ...