Python Programming In 30 Days Day -12(Data Analysis with Python)

Python Programming In 30 Days Day -12

Data Analysis with Python

Data Analysis with Python

Python is one of the most prevalent tools for data analysis. In a survey carried out by Analytics India Magazine, it was found that 44% of data scientists prefer Python, it is ahead of SQL and SAS, and behind the only R.



Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. Pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.

Data Analysis with Python

Data Analysis in Python :
Importing Datasets
Cleaning the Data
Data frame manipulation
Summarizing the Data
Building machine learning Regression models
Building data pipelines Data Analysis with

Matrix in Python

Python is known for its neatness and clean data readability and handling feature. There are various techniques for handling data in Python such as using Dictionaries, Tuples, Matrices, etc. In this tutorial, you will learn about the matrices and its functionalities.

In Python, these tables are termed as two-dimensional arrays, which are also called matrices. Python gives us the facility to represent these data in the form of lists.

val = [['Dave',101,90,95], ['Alex',102,85,100], ['Ray',103,90,95]]

Numpy in Python

Numpy can be abbreviated as Numeric Python, is a Data analysis library for Python that consists of multi-dimensional array-objects as well as a collection of routines to process these arrays.

NumPy is a linear algebra library for Python, and it is so famous and commonly used because most of the libraries in PyData's environment rely on Numpy as one of their main building blocks. Moreover, it is fast and reliable.

Numpy comes in two different flavors. These are:

Vectors (1D one-dimensional)
Matrices( 2D two-dimensional)

Python Game : Rolling the dice

This is a classic "roll the dice" program. We will be using the random module for this,since we want to randomize the numbers
we get from the dice. We set two variables (min and max) , lowest and highest number of the dice.
We then use a while loop, so that the user can roll the dice again. The roll_again can be set to any value, but here it's set to "yes" or "y",


import random
min = 1
max = 6

roll_again = "yes"

while roll_again == "yes" or roll_again == "y":
print ("Rolling the dices...")
print ("The values are....")
print (random.randint(min, max))
roll_again = input("Roll the dices again?")