Python data analysis, R language and data mining | learning materials sharing 05

Python Data analysis

Why do you choose Python for data analysis?

Python will inevitably be close to other open source and commercial domain-specific programming languages/tools such as R, MATLAB, SAS, Stata, etc. for data analysis and interaction, exploratory computing, and data visualization. In recent years, Python has a constantly improved library (mainly pandas), making it a major alternative to data processing tasks. Combined with its power in general programming, we can use only Python to build data-centric applications.

The R language is an interpretive language developed by the T-Bell Laboratory for data exploration, statistical analysis and mapping.

Data Mining (English: mining) is a step in database Knowledge Discovery (English: Knowledge-discovery in Databases, abbreviation: KDD). Data mining generally refers to the process of searching the information hidden in a large amount of data through an algorithm. Data mining is often related to computer science and is achieved by means of statistics, online analytical processing, information retrieval, machine learning, expert systems (relying on past rules of thumb), and pattern recognition.

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Python data analysis, R language and data mining | learning materials sharing 05