"Python is future life"

Why Python Why not R?

Both Python and R are powerful programming languages that are commonly used in data science and other related fields. However, they have different strengths and are better suited for certain types of tasks.

Python is a general-purpose programming language that is widely used in many fields, including web development, artificial intelligence, and scientific computing. It has a large and active community, and there are many libraries and frameworks available for various tasks. Python is also known for its readability and simplicity, which makes it easy to learn and use.

R, on the other hand, is a language specifically designed for statistical computing and data analysis. It has a wide range of built-in statistical and graphical functions, and there are many packages available for advanced statistical modeling. R is often used in fields such as finance, social sciences, and bioinformatics. R's packages are heavily used in the field of Data visualization, which is a strong suit of R.

In summary, Python is a versatile language that is good for a wide range of tasks, while R is specifically designed for statistical computing and data analysis. Depending on the specific task and the field you are working in, one language may be more suitable than the other.

Python or R which one is best in future?

It is difficult to say which programming language is "best" in the future, as it depends on various factors such as the specific task, field of application, and personal preferences. However, both Python and R are widely used and have a strong presence in the field of data science and other related fields.

Python is a general-purpose programming language that has a wide range of applications and is known for its readability and simplicity. It has a large and active community, and many popular libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn are built using Python. Python is also being increasingly used in the field of Artificial Intelligence and Machine Learning.

R, on the other hand, is a language specifically designed for statistical computing and data analysis. It has a wide range of built-in statistical and graphical functions, and many popular libraries and frameworks such as ggplot2 and caret. R is heavily used in the field of Data visualization and is a strong suit of R.

In conclusion, both Python and R are powerful programming languages that have a strong presence in the field of data science and related fields. Both languages have their own strengths and are well suited for certain types of tasks. It's important to consider the specific task and field of application before deciding which language to use.

Salary of Python and R..??

The average salary for a Python developer is approximately $92,000 per year in the United States.

The average salary for an R developer is slightly lower, at around $87,000 per year in the United States.

However, the exact salary for a developer using either language can vary depending on factors such as location, experience, and the specific industry they are working in.

Salary of Python and R in India........

The average salary for a Python developer in India is around 6-8 LPA(Lakhs per annum) and for R developer, it is around 4-6 LPA.

These figures can vary depending on factors such as location, experience, and the specific industry they are working in.

Also, Keep in mind that the salary figures are approximate and can vary depending on the company and the job role.

BEST PYTHON OR R

Both Python and R are widely-used programming languages with their own unique strengths and uses.

Python is known for its simplicity and ease of use, making it a popular choice for beginners. It has a large and active community and a wide range of libraries and frameworks for machine learning, data analysis, and web development. Python is used by companies such as Google, NASA, and Spotify.

R, on the other hand, is mainly used for statistical analysis and data visualization. It has a strong focus on data manipulation and has powerful built-in functions for statistical modeling. R is widely used in academia and research, and is the language of choice for data scientists and statisticians. Companies such as Facebook, Airbnb, and Uber use R for data analysis.

In a nutshell, Python is a general-purpose programming language and R is a language for data science and statistical analysis. Both languages have their own strengths and weaknesses and the choice between them will depend on the specific use-case.