2. Why Data Science ?
The term “Data Science” was created in the early 1960s.
Data science is a future-proof industry.
Continue to grow along with artificial intelligence, computer science, and deep
learning technologies.
Data Science enables companies to efficiently understand gigantic data from
multiple sources.
3. What is Data Science?
Data Science is a new powerful approach to make
discoveries from the data.
An automated way to analyze enormous amount of
data and extract information from it.
A new discipline that combines aspects of statistics,
mathematics, programming and visualization.
9. What is Python?
Python is a simple, general purpose, high level, interpreted scripting language and
object-oriented programming language .
It was created by Guido van Rossum, and released in 1991.
Easy to use and Learn
Expressive Language
Interpreted Language
Object-Oriented Language
Open Source Language
Extensible
Learn Standard Library
GUI Programming Support
Integrated
Embeddable
Dynamic Memory Allocation
Wide Range of Libraries and Frameworks
Features of using Python
10. Anaconda Distribution
Anaconda is a distribution of the Python and R programming languages for scientific
computing (data science, machine learning applications, large-scale data processing, predictive
analytics, etc.)
Installing of Anaconda Python distribution:-
Python can be downloaded through Anaconda distribution platform because it has large
number of inbuilt python packages
By clicking on this link we can download anaconda python distribution.
https://www.anaconda.com/products/distribution
12. An IDE (Integrated
Development Environment)
understand your code much
better than a text editor. It
usually provides features such
as build automation, code
linting, testing and debugging.
Jupyter Notebook:-
The Jupyter Notebook is an open
source web application that you
can use to create and share
documents that contain live code,
equations, visualizations, and text.
IDEs for Python
