Python

1. The Role of Python for Data Science
In the United States, over 36,000 weather forecasts are issued
every day, covering 800 different regions and cities. All that
analysis, collection, and reporting of data from different sources.
about 40% of data scientists use Python in their day-to-day
work for computing, analyzing and reporting of data.
Big organizations such as NASA, Google, and CERN also use
Python for almost every purpose of programming.

2. The Role of Python for Data Science
All About Data Analysis
Data analysis is the method of accumulating important data and processing that data to get
useful insights. A data scientist utilizes the major techniques that are related to data
manipulation and data visualization.
Python vs R: Which is Good for Data Science?
Both Python and R are popular choices for data scientists. Both languages have some pros
and cons when it comes to data-centric software development services. While both of these
languages are competing to be the language of choice for data scientists, let’s have a quick
look at their share and compare 2016 with 2017.
Now the below-mentioned picture shows the number of jobs that are related to data
science by any programming languages. Data Source: StackOverflow
Also, it is seen that Python developers are more loyal to this platform. Have a look at
below stats:

3. The Role of Python for Data Science
 Why is Python Awesome for Data Science?
five exciting things about Python that makes it the best programming language for data scientists.
1. Prebuilt Libraries
One of the most important characteristics of Python is the list of libraries and frameworks that makes
coding easier and saves a lot of development time
 2. Simplicity
Python is well known for its incisive and readable code. Also, no other language can compete with it for
being easy to use and simple.
3. Enough support
Python is an open-source programming language supported by a plethora of resources as well as high-
quality documentation.
4. Popularity
Since python is among the topmost programming languages as it is simple to understand syntax structure.
5. Not Platform Specific
It can be said that this language is not platform-specific. Instead, it is platform-independent.