The document discusses the importance of data visualization in enhancing data interpretation, emphasizing that the human brain processes visual information more effectively. It introduces Python as a versatile, high-level programming language ideal for machine learning and data analysis, highlighting its extensive libraries such as NumPy and Matplotlib for data visualization. Additionally, it briefly touches on the ease of creating various plots like bar graphs and scatter plots using Python.
Data visualization enhances data interpretation by presenting information graphically, making it easier for the human brain to process.
Python is a high-level programming language, easy for beginners and suitable for data analysis and visualization, with many libraries.Key libraries such as Matplotlib, Numpy, and Pandas assist in creating effective visualizations in Python.
Examples of common graph types include bar graphs, scatter plots, histograms, and pie charts for visual data representation.
Discussion on creating multiple plots and integration of Python's capabilities in data visualization.
Python (programming language)
Pythonis an interpreted, high-level
and general-purpose programming
language.
Created by Guido van Rossum and
first released in 1991
Python can be easy to pick up
whether you're a first time
programmer or you're experienced
with other languages.
4.
Advantages of
python
Versatile,Easy to Use and Fast to Develop
This language is an obvious choice
for machine learning, data analysis and
visualisation. AI-first companies should
love it
Has All the Libraries You Can Imagine
Open Source with a Vibrant Community
Great for Prototypes - You Can Do More
with Less Code
5.
Python
libraries
Numpy
Matplotlib
Pandas
Pillow
TensorFlow
Keras
Theano, etc.
Commonly-used modules that
contain source code for generic
needs are called Libraries
Library in python is a collection of
various python packages.
Conceptually there is no
difference between package and
Python library.
6.
Matplotlib isa comprehensive
library for creating static,
animated, and interactive
visualizations in Python.
Matplotlib is a 2D plotting library
that helps in visualizing figures.
Matplotlib is used in Python as it
is robust, free and easy library for
data visualization.