APPLICATION OF PYTHON IN DATA SCIENCE

Python is a widely used programming language among developers and data scientists. But what makes Python so popular, and why do so many data scientists prefer it to other programming languages? In this blog, we will look at the benefits of Python programming and why it is important in data science.

WHAT EXACTLY IS PYTHON?

No, we're not referring about the enormous tropical serpent. Python is a high-level, general-purpose programming language. It is compatible with the object-oriented, structured, and functional programming paradigms.

Python was developed in the late 1980s by Dutch programmer Guido van Rossum, who needed something to do over the Christmas break. His objective was to develop a programming language that was a descendent of ABC but would appeal to Unix/C coders. Van Rossum explains that he named this language Python because he was "in a bit irreverent mood (and a great admirer of Monty Python's Flying Circus)."

Python had several revisions and iterations before being published as Python 3.0 in 2008. This was created to address several of the language's design faults, with a focus on reducing unnecessary features. While there were some teething pains with this version since it was not backwards compatible, the new changes paved the road for Python as we know it today. As a prominent open source programming language, it is still well-maintained and supported. While there were some growing pains with this version since it was not backwards compatible, the new changes paved the road for Python as we know it today. As a prominent open source programming language, it is still well-maintained and supported.

WHY IS PYTHON USED IN DATA SCIENCE?

The first of several advantages in data research is Python's simplicity. While some data scientists have a computer science background or are familiar with other programming languages, many come from statistics, mathematics, or other technical professions and may not have as much coding expertise when they enter the field of data science. Python syntax is simple to understand and write, making it an ideal programming language for beginners to learn quickly. 

Furthermore, there are several free online resources accessible to assist you learn Python and seek support if you get stuck. Python is an open source language, which means it is freely available to the public. This is advantageous for data scientists wishing to learn a new language because there is no initial fee to begin studying Python. This also means that many data scientists are already using Python, thus there is a big community of both developers and data scientists who use and enjoy Python.

In Python, a library is a collection of modules with pre-built code to assist with common tasks. They essentially allow us to leverage and build on the efforts of others. Some data science activities would be difficult and time consuming to develop from scratch in other languages. In Python, there are several libraries available to help with data cleaning, data analysis, data visualization, and machine learning activities, such as NumPy, Pandas, and Matplotlib. Among the most popular libraries are:

v NumPy: NumPy is a Python package that supports a wide range of mathematical applications on huge, multidimensional arrays and matrices.
 
v Pandas: The Pandas library is one of the most widely used and user-friendly libraries accessible. It enables simple manipulation of tabular data for data cleansing and analysis.
 
v Matplotlib: This library allows you to quickly build static or interactive boxplots, scatterplots, line graphs, and bar charts. It can help you simplify your data visualisation duties.
 
v Seaborn: Another data visualisation package developed on top of Matplotlib that provides for aesthetically pleasing statistical graphs is Seaborn. It makes it simple to see stunning confidence intervals, distributions, and other graphs.
 
v Statsmodels: This statistical modelling package allows you to create all of your statistical models and tests, such as linear regression, generalized linear models, and time series analytic models.
 
v Scipy: Scipy is a scientific computer toolkit that aids in linear algebra, optimization, and statistical activities.
 
v Requests: This library is handy for collecting data from websites. It provides an easy-to-use and responsive interface for configuring HTTP requests.

The availability of sophisticated machine learning libraries is a significant benefit of Python in data research. These machine learning libraries simplify the work of data scientists by offering strong, open source libraries for every machine learning method required. These libraries are designed to be simple without losing performance. These frameworks make it simple to create a strong and accurate neural network.

WHAT IS PYTHON'S FUTURE IN DATA SCIENCE?

Python's popularity and the number of data scientists increasing, the usage of Python for data science will certainly rise. As machine learning, deep learning, and other data science jobs develop, we should expect to see these advancements available as Python libraries. Python has been well-maintained and steadily expanding in popularity for many years, and many of today's leading firms utilize it. Python will be employed in the business for years to come due to its continuous popularity and expanding support.

Whether you've been a data scientist for years or are just starting out, learning Python for data science may be beneficial. Python stands out from other programming languages due to its simplicity, readability, support, community, and popularity, as well as the modules available for data cleansing, visualization, and machine learning. If you aren't currently utilizing Python for your work, give it a shot and see how it can help you streamline your data science workflow. You can learn python full stack training in Kochi from STC Technologies. Students may study with live projects from industry specialists through online and offline. Even after they have completed the course, students receive excellent support. The expertise in training and placement support have assisted many students in obtaining their chosen employment. STC is the best python training institute in Kochi.