Complete Python NumPy for Data Science in 30 minutes | NumPy Python Full Guide

Complete Python NumPy for Data Science in 30 minutes | NumPy Python Full Guide

This 30 min Tutorial on Python NumPy for data science will take you from knowing nothing about Python for data science to understanding and analyzing data with Python using NumPy library.

Join our Telegram Channel For Exclusive Data Science Resources👍 :

Check Out Our Other Helpful Videos:😍

➮ Data Analyst vs Data Scientist vs Data Engineer - Roles || Responsibilities & Skills
➮Live Implementation of End To End Machine Learning Project With Deployment | Customer Churn
➮ Build your own Alexa in 30 minutes using Python | NLP | Data Science
……………………………………………………………..

Follow us on: ✌️

Hello Friends , I am Satyajit Pattnaik, In my channel you will find every information about Data Science & Analytics which will help you become an expert Data Scientist or a Data Analyst along with which you would enjoy a loads of interesting and useful projects.

More & more great stuffs coming soon, keep supporting & learning 🎓

THANKS FOR WATCHING 😊

#numpy #datascience #pythonnumpy #numpypython

[nivethakannan]

The way he speaks politly to make us understand was awesome!! Thank you so much for the valuable content❤

[kapamagicman]

Very peaceful listening to you. Straight to the point with examples. Thank you. Will watch this again

[ankitpandya]

Thank you sir for making video for paythons library 👌👍

[tejaskotkar]

thank you sir very much you explained
it very well😊😊😊😊

[rickyeditz]

Iam attractive to ur communication skills hats off brother❤❤❤❤

[maruthiprasad]

superb. Thank you so much for valuable content.

[rszkqht]

(1, 3) is a shape of an array or it is called as 1 cross 3 matrix please clarify

[MHNayon]

Great tutorial! Do you have a numpy tutorial with the real-world data?

[amolpatil]

Actually, this is very helpful. But if you could take real-life examples, then it would be fruitful. If you could use a CSV or Excel data source, then it will be easy to understand.

[sanket]

If you were there 2 years back. I wouldn't have taken a 54k course on simplilearn.

[ameermohammed]

Flag question: Question 1
Question 1 1 pts
Which form of import is not accepted?
Group of answer choices

import numpy

from numpy import sin, cos, linspace

from numpy import *

import numpy as np

Flag question: Question 2
Question 2 1 pts
What is the correct order for the parts of a program?
Group of answer choices

imports
function definitions
main program

function definitions
imports
main program

main program
imports
function definitions

main program
function definitions
imports

Flag question: Question 3
Question 3 1 pts
Which of these mini programs is the correct one to create a simple plot?
Group of answer choices

Correct answer
import numpy as np

import matplotlib.pyplot as plt



x = np.linspace(-5.0, 5.0, 1000)

y = np.sin(x)





plt.plot(x, y)

plt.figure()

plt.show()

Answer 2 Toggle editing answer text as HTML Answer 2Delete this answer

import numpy as np

import matplotlib.pyplot as plt



x = np.linspace(-5.0, 5.0, 1000)

y = np.sin(x)



plt.figure()

plt.show()

import numpy as np

import matplotlib.pyplot as plt



x = np.linspace(-5.0, 5.0, 1000)

y = np.sin(x)



plt.figure()

plt.plot(x, y)

plt.show()

import numpy as np

import matplotlib.pyplot as plt



x = np.linspace(-5.0, 5.0, 1000)

y = np.sin(x)



plt.show()

plt.figure()

plt.plot(x, y)

Flag question: Question 4
Question 4 1 pts
Which module is our standard module for mathematical functions etc?
Group of answer choices

pandas

matplotlib.pyplot

scipy.stats

numpy

Flag question: Question 5
Question 5 1 pts
Which of these plots shows the trigonometric polynomials produce with the parameters

a = 1, b = 60, j = 3
c = 1, d = 120, k = 3
Group of answer choices

trigon4.png

trigon2.png

trigon3.png

trigon1.png

[sayrishverma]

Sir your level of teaching is too worst 😢