best programming language for data science

, but it also has a wide range of "native" libraries to handle large-scale data (especially Twitter's algebird and Summingbird). It also includes an easy-to-use REPL for interactive development and analysis, just as with Python and R.I personally love Scala because it includes many practical programming features, such as pattern matching, and is considered much simpler than standard Java. However, using Sca

). It also includes an easy-to-use REPL for interactive development and analysis, just as with Python and R.I personally love Scala because it includes many practical programming features, such as pattern matching, and is considered much simpler than standard Java. However, using Scala to develop more than one method, this language as a feature to promote. That's a good thing! But given that it has a turing

Non-programming articles/tools that can be used directly1. ExcelExcel is the easiest charting tool to handle fast, small amounts of data. Combined with a pivot table, the VBA language makes it possible to make tall visual analysis and dashboard dashboards.Single-or single-graph Excel is the rule, and it can show results quickly. But the more complex the report, E

courses uses the R language as a tool and is divided into nine parts: (1) The Data Scientists Toolbox) (2) R Programming (R Programming) (3) Getting and Cleaning Data) (4) Exploratory Data Analysis) (5) Reproducible Research) (6)

DirectoryObjectiveChapter 1th Introduction 11.1 The power of the data 11.2 What is Data science 11.3 Excitation hypothesis: DataSciencester21.3.1 Looking for key contacts 31.3.2 You might know data scientist 51.3.3 Salary and working life 81.3.4 paid Account 101.3.5 Interest Topic 111.4 Outlook 122nd Python crash 132.1

This article corresponds to the "R Language Programming Art" chapter 2nd: Vectors; Chapter 3rd: matrices and Arrays; chapter 4th: list; 5th: Data frame; 6th chapter: Factors and tables=========================================================================The most basic data type of R

Wuyi Free Data Science BooksA great collection of free data science books covering a wide range of topics from data science, business Analytics, data Mining and Big

http://blog.csdn.net/pipisorry/article/details/44245575A good article on how to learn python and use Python for data science, data analysis, and machine learning Comprehensive(integrated) Learning Path–data Science in PythonJourney from a pythonnoob(Novice) to a kaggler on P

Python has become increasingly popular among data science enthusiasts, and it is important that it brings a complete system to the universal programming language. With Python you can not only transform operational data, but also create powerful piping commands and machine le

Meira-this title is new to me. it's a text book that looks to be a complete introduction with Derivations plenty of sample problems. 599 pages. An Introduction to data science by Jeffrey Stanton-Overview of the skills required to succeed in data science, with a focus on the tools available within R. it has sections

1. Programming languagesPLC programming language has STL (statement table), LAD (Ladder diagram), FBD (function block diagram), graph (sequential function diagram), SCL (structured Control Language), Higraph (Graphics programming languag