Data scientists need to harness programming languages such as R and Python.
Data scientists are now choosing R or Python as their preferred programming language for data management. Let’s now see why data scientists prefer R or Python as their preferred programming language for data management. This may differ from one data scientist, depending on many factors.
Is Python more Popular than R?
Python and R are two programming languages that have been around for decades. While both languages are used in data science, they are not the same.
Python
Python is a versatile and comprehensive programming language that can be used for almost anything. It has a syntax (way of writing code) that is easy to read and contains many useful features.
It was created in the late 1980s by Guido van Rossum and released for use to the public in 1991 and has been gaining popularity ever since.
Benefit of Python include:
- Easy to code as compared to other languages
- Integrated with web services
- Extensible and portable
- Object oriented programming
- Open source
- Large standard library
There are many reasons people like using Python, one of which is that it’s free and open-source, meaning anyone can contribute to its development. This also means you don’t have to pay any licensing fees if you want to use Python for commercial purposes!
It’s also cross-platform, which means you can run your programs on Windows, Mac OS X, Linux/Unix… and even smartphones!
One of the best things about Python are all the libraries you can use with it.
These include NumPy and SciPy for numerical computing; Matplotlib which makes beautiful plots; Pandas which helps with data analysis;
Scikit-learn which implements machine learning algorithms (including neural networks);
TensorFlow (Google’s deep learning library); Keras among others that implement different kinds of neural networks; Theano which lets you run computations on GPUs as well as CPUs
See more: Best VPN for Working from Home
R
R is a programming language for statistical analysis and graphics. It is commonly used for data science, statistical research, and academic education.
Benefits of R include:
- Extremely flexible
- Open source
- Can do everything from simple statistics to complex machine learning algorithms
- Operates within your browser
- Uses packages which can be easily installed
Best Programming language for Data Scientists
R
R is a programming language and software environment specifically designed for statistical analysis and data visualisation.
It is widely used in academia and scientific research, but statistics isn’t all it does – R can also be used for general programming tasks.
See more: Most popular No Code Platforms
Python
Python is an object-oriented programming language that’s used by startups and tech giants alike. Python enables developers to write clear, logical code for small and large-scale projects.
Python is a versatile language that has found applications in many industries: from web applications to data science and machine learning.
