Why Python is Best Programming Language to Learn Data Science?

The data science industry is the one in which you can make your career for continuous growth. Nowadays most of the organizations are using data to make predictions so they can make a plan for future growth. The role of a data scientist is to process the data and organize it with different methods and algorithms. Every day the work with large data sets, make decisions and provide recommendations to organizations in easy to understand language.

Along with Machine Learning and Artificial Intelligence, Data Science is also becoming a more popular choice to make a career. For this, one should have the knowledge of programming languages and Python is becoming the more popular language to learn Data Science.

Why Python is preferred for data science?

Python community is considering Python as the best language for programming as it is ideal for algorithm implementations, supports structured programming and object-oriented programming. Also, it is capable of handling embedded systems and website constructions. This language is very easy and can be learned by taking an online certification course.

Easy to learn

The most interesting feature of Python is that it is very easy to learn and even beginners can learn it very easily and quickly. This is the reason learners are choosing Python language to learn Data Science. When it comes to working professionals also, who have a short period of time to learn, they also choose python as it can be learned in very little time. As compare to R programming, python has easy syntax and can learn in less time.

Scalability

When we compare Python with other programming languages like R, Matlab, and stata, python is best when it comes to scalability. Because of this feature, it gives data scientists flexibility and multiple ways to solve multiple complex problems. Because of its multiple features, YouTube also migrated from another language to Python. Many industries started using Python for their application development.

Choice of data science libraries

Another main advantage of Python is it offers the key benefit of using python for data science is that python offers an extensive range of data analysis and data science libraries. They are pandas, Matplotlib, NumPy, SciPy, and scikit-learn. These are just a few libraries, and Python is continuously adding and updating libraries to this collection. Many developers who use Python got that this robust programming language offering new solutions to problems that previously were not able to solve.

NumPy: it is important to perform mathematical computations with Python such as matrices and multi-dimensional arrays.

SciPy: It offers effective practices for numerical integration and up-gradation.

Pandas: helps in delivering data structures and operations to change time series and numerical tables.

Matplotlib: It offers 2D data plotting in the form of histograms, power spectra, bar charts, and scatterplots with nominal coding lines.

Scikit-learn: It acts as a machine learning library that leads to classification, clustering algorithms that involve support vector machines, logistic regression, naive Bayes and random forests.

Python community

One reason that Python is popular nowadays is its community. The community is finding a solution to almost every complex problem which was never been easier. All you have to do is a quick internet search, and you can easily find the answer to any question related to python or you can also connect with others who may be able to answer your question online.

Graphics and visualization

Python’s Matplotlib offers many visualization options. This library is also base on the development of libraries like Seaborn, pandas plotting, and ggplot.

Python is easy, simple and powerful and because of this it is widely used in a variety of contexts, some of them are not connected to data science. R is also one of the popular languages for data analysis, but it is difficult to learn. To get a job as a Data scientist you should learn python and other skills. One of the best ways to confirm that you stand out to recruiters is to have the right skill and knowledge. Getting your certification in Python with data science from NearLearn is the best way to get your resume noted by the recruiters. NearLearn provides online as well as classroom training for the same. Contact us today.

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