Introduction Part 2| Data Types| Python Programming For Data Science | Malayalam

Показать описание

Recode Guru is introducing Python Programming For Data Science.
In this tutorial, you will get an introduction to the basic concepts of Python.

Data Types
List
Tuple
Dictionary
Set
Boolean

Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types.

Python is better for data manipulation and repeated tasks, while R is good for ad hoc analysis and exploring datasets. ... R has a steep learning curve, and people without programming experience may find it overwhelming. Python is generally considered easier to pick up.
Python can pretty much do the same tasks as R: data wrangling, engineering, feature selection web scrapping, app, and so on. Python is a tool to deploy and implement machine learning at a large-scale. Python codes are easier to maintain and more robust than R. Years ago; Python didn't have many data analysis and machine learning libraries. Recently, Python is catching up and provides cutting-edge API for machine learning or Artificial Intelligence. Most of the data science jobs can be done with five Python libraries: Numpy, Pandas, Scipy, Scikit-learn, and Seaborn.

Python, on the other hand, makes replicability and accessibility easier than R. In fact, if you need to use the results of your analysis in an application or website, Python is the best choice.