R vs Python
Let me tell you what is Best for Data Analysis.
Let's break it down 👇👇
- Thread -
Let me tell you what is Best for Data Analysis.
Let's break it down 👇👇
- Thread -
Packages:
- R has more build-in data analysis functions
- R has a larger Collection of small packages
- Python has bigger packages for Data Analysis
Tasks:
- Usually used for a variety of tasks
-R has more statistical support in general
- R has more build-in data analysis functions
- R has a larger Collection of small packages
- Python has bigger packages for Data Analysis
Tasks:
- Usually used for a variety of tasks
-R has more statistical support in general
R IDE:
- R Studio
- Visual Studio
- Rattle
Python IDE:
- Atom
- Thonny
- Sublime Text 3
- PyCharm
R Basic Packages:
- ggplot2
- data.table
- dplyr
Python Basic Packages:
- NumPy
- Pandas
- SciPy
- Matplotlib
- Keras
- Scikit-learn
- R Studio
- Visual Studio
- Rattle
Python IDE:
- Atom
- Thonny
- Sublime Text 3
- PyCharm
R Basic Packages:
- ggplot2
- data.table
- dplyr
Python Basic Packages:
- NumPy
- Pandas
- SciPy
- Matplotlib
- Keras
- Scikit-learn
Structure:
-R is more functional
-Python is more Object-Oriented
Python
- Linear Regression
- Random Forests
- Can do more with the scikit-learn package
R:
- Greater Diversity of Packages
- Less Consistency
- Linear Regression is a built-in
- Random Forest is a separate package
-R is more functional
-Python is more Object-Oriented
Python
- Linear Regression
- Random Forests
- Can do more with the scikit-learn package
R:
- Greater Diversity of Packages
- Less Consistency
- Linear Regression is a built-in
- Random Forest is a separate package
So, which one?
- Both are powerful
- If your work is more focused on statistics, go for R
- If you want more integration, go for Python
- If you want community support and popularity go for Python
- It all depends on the work and which one you are more comfortable with.
- Both are powerful
- If your work is more focused on statistics, go for R
- If you want more integration, go for Python
- If you want community support and popularity go for Python
- It all depends on the work and which one you are more comfortable with.
In my opinion, if you are a beginner, you should go for Python, as it would provide a lot of resources, a huge community, and support.
If you are interested to become a Data Analyst,
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If you are interested to become a Data Analyst,
Here is the Fastest way you can become a Professional Data Analyst.
thegoldsuite.com
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