What is Python? How Python is Used For Data Science.

Data science is one of the most revolutionary technologies of the era. It is the art of deriving insights and transcending data in order to solve real-world complex data-driven problems.
Created by Guido Van Rossem in 1991 Python is a programming language that emphasizes productivity and code readability. 

Programmers who want to delve into data analysis or apply statistical techniques prefer Python for statistical purposes.

A report by KDNuggets revealed that Python tops the data science tools requirement with a share of 65% of the users who preferably use it for carrying out their tasks.

Several surveys conducted across the globe show the popularity of python. It has been continuously rising over the past few years and has gone past its competitors like Java and C++. 

Top-tier organizations like CERN and NASA and tech giants like Google and Netflix use Python as their core programming language and also as a tool for data science!
Since Python undoubtedly tops the chart of the most preferred programming languages with its out-of-the-box features, data science has become a lot easier with Python.

Why is Python preferred by data science professionals?

Python is a general-purpose programming language with wide-scale applications in software development, web development, and research. 

It is also a language of choice for most data scientists due to its easy-to-understand and readable syntax which makes it particularly easy for anyone to adapt. 

 

Some other points that make this language stand out are:

Python is user-friendly

The syntax is simple and does not bother users with complicated programming requirements. Even without prior knowledge, people can master Python with the help of a suitable training program like Datatraineds’s data science Python course with placement.

 

Dedicated data science libraries

The prime reason behind Python’s popularity is the fact that it offers dedicated libraries for every possible data science task. With over 72k libraries included in the Python Package Index, data scientists can fetch tools easily. 

Let us discuss some of the popular and highly advantageous libraries:

NumPy and SciPy for smooth scientific calculations.

NumPy and SciPy are popular python libraries that are significant in performing advanced scientific or mathematical calculations with ease. It is also useful for large-scale data manipulation as well as very famous for its ability to create multidimensional arrays which is crucial for handling Big Data.

Pandas for data manipulation and analysis
Pandas, a python library built upon NumPy, is used for data manipulation, analysis, data munging, and wrangling. Conducting such operations is extremely beneficial with Pandas because it offers high-level data structures and manipulation tools. Since it was initially developed for time series analysis, it also offers a wide range of in-build tools for this type of analysis as well.

Matplotlib for data visualization

Data visualization is an important aspect of data science and analytics. It helps to understand data better and use it for communicating with stakeholders of a project. This library is simple to use for beginners but at the same time, for tech-savvy users, gives immense control over every aspect of visualization. 

 

 Advantages in ML and DL

Machine Learning (ML) and Deep Learning (DL) are two subfields of artificial intelligence which have emerged as vital skills for data science. 
 

Data scientists use ML and DL for automation and building sophisticated products like virtual assistants, recommendation systems, and predictive models for various business/operational needs.
 

Moreover, popular ML and DL libraries like TensorFlow and Keras are built to offer extensive support for Python.

 

Apart from CPU support, TensorFlow for Python even supports Graphics Processing Unit (GPU) accelerated learning which allows deep learning models to leverage the power of a PC’s GPU to train models faster than CPU. 

 

This is very important because it makes Python a tool of choice for any kind of ML or DL tasks and makes it worthy for anyone from a complete novice to an industry professional.
Looking at the current trend various ed-tech institutes formulated data science Python courses online so that learning becomes more accessible to aspirants during the pandemic.

 

To have a deep understanding of Python, the first thing one can do is simply type “data science Python course near me”.
For instance, people residing in Noida can get the best Python for data science course offered by Datatrained. This e-learning institute provides various professional courses that satisfy industry demands.
Datatrained’s expertise in data science Python courses in Noida makes it preferred by many. More because of the internship and assured placement policy.

 
Professionals who cannot invest years in learning can opt for a data science Python course with a certificate and get a quick profile upgrade for promotion or a raise.