<strong>R</strong> and <strong>Python</strong> are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalog.<strong>R</strong> is mainly used for statistical <strong>analysis</strong> while <strong>Python</strong> provides a <strong>more</strong> general approach to <strong>data science</strong>. ... <strong>Python</strong> is a general-purpose language with a readable syntax.

**R** and **Python** are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalog.**R** is mainly used for statistical **analysis** while **Python** provides a **more** general approach to **data science**. ... **Python** is a general-purpose language with a readable syntax.

Especially because most **data science** jobs may belong to one of the two factions:**Python** or R. ... R and **Python** are the two most popular programming languages used by **data** analysts and **data scientists**. Both are free and open source - R for statistical **analysis** and **Python** as a general-purpose programming language.

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This Edureka video on 'Python For Data Science - How to use Data Science with Python - Data Science using Python ' will help you understand how we can use python for data science along with various use cases. What is Data Science? Why Python? Python Libraries For Data Science. Roadmap To Data Science With Python. Data Science Jobs and Salary Trends

An overview of using Python for data science including Numpy, Scipy, pandas, Scikit-Learn, XGBoost, TensorFlow and Keras.