Now, when you have decided to start your carrier as a Data Scientist, its very much obvious that you need to learn many programming languages, and among all python is the most popular one. And there are various reasons why python has become so popular among programmers.

Let's have a look for the same.


1. It's simple to learn


Keeping its functional capabilities, it's simple to learn when compared to other programming languages. Python in data analysis offers you fewer lines of code to accomplish your task when compared to older languages. It's very fast in writing.It's very fast in writing. It is high-level programming; it is a free and open-source language.
We can go through this example to understand its simplicity.

2. Flexibility


Data science with Python is also recommended because of this very flexible nature. Because of this flexible nature, it becomes very easy to build data models, systematizes data sets, web services, create ML-power algorithms, and apply data mining for different tasks in a very less span of time.

3. Libraries and Frameworks


Now when we talk to learn python for data science, its libraries and framework play a very vital role. Python has hundreds of libraries and frameworks which makes the development process very easy for developers. Among these are many focussed on data analytics and machine learning. Python is very helpful when it comes to big data.
These libraries include Pandas, NumPy, SciPy, Stats Models, scikit-learn and there are various others.

4. Python Community


Python and Data Science go hand in hand. data Science using Python has its own importance also because of its huge community where you get support from other specialists and your learning becomes easier. it a good platform where all other developers share their user experience which brings you lot of knowledge at a free cost.

5. Analytical tools


Now if you need complex data processing, python provides you different analytical tools to help you out with. Many companies over the globe are using Python to reduce their data and get better results. It gives better insights along with evaluating critical metrics
6. Jobs and Growth Opportunities.
Now when we talk about the jobs after learning data science using Python, some of these includes:
" Python Developer
" Educator
" Data Journalist
" Financial Advisors
" Product Managers
" Research Analyst
" Data Scientist
" Software developer etc.

Conclusion:


These days Data Science in IT Sector is blooming and learning data science using python can be very useful for the people who are desiring to have a good carrier growth in this industry.