Vectorization vs Non-Vectorization Python implementation

preview_player
Показать описание
import numpy as np
num = 10000000
import time
print(c)
print("Verctorize : " + str((end -start)*1000) + 'ms')
c =0
for i in range(num):
c += a[i]*b[i]
print(c)
print("Loop version : " + str((end -start)*1000) + 'ms')
  1. MyStudy
  2. Python
  3. Vectorize
  4. Nonvectorize
  5. Numpy
Рекомендации по теме
Vectorization vs Non-Vectorization 0:10:35

Vectorization vs Non-Vectorization Python implementation

Vectorization in Python 0:11:12

Vectorization in Python : Data Science Code

Understanding Vectorization -- 0:01:26

Understanding Vectorization -- A Simple Analogy

L3.3 Vectorization in 0:14:55

L3.3 Vectorization in Python

How we used 0:40:40

How we used vectorization for 1000x Python speedups (no C or Spark needed!)

Vector Databases simply 0:04:23

Vector Databases simply explained! (Embeddings & Indexes)

Ekaterina Tuzova - 0:34:22

Ekaterina Tuzova - NumPy: vectorize your brain

Python Program to 0:00:21

Python Program to multiply two matrices (vectorized implementation)

More Vectorization Examples 0:06:20

More Vectorization Examples (C1W2L12)

Vectorization Webinar Increase 0:39:04

Vectorization Webinar Increase code performance through vectorization

Discovering Vectorization of 0:01:44

Discovering Vectorization of Product Over in Python with NumPy

Text Vectorization NLP 0:09:57

Text Vectorization NLP | Vectorization using Python | Bag Of Words | Machine Learning

Lecture #18: Vectorization 0:08:30

Lecture #18: Vectorization | Deep Learning

Python: Vectorize Calculation 0:02:09

Python: Vectorize Calculation Implemented using Iterative Approach

Explanation For Vectorized 0:07:38

Explanation For Vectorized Implementation (C1W3L05)

TF-IDF Vectorization - 0:18:53

TF-IDF Vectorization - Theory and Implementation in Python (Part 1/2)

Episode 4.2 - 0:06:53

Episode 4.2 - Automatic Vectorization and Array Notation

1000x faster data 0:26:39

1000x faster data manipulation: vectorizing with Pandas and Numpy

How To Backtest 0:45:37

How To Backtest a Trading Strategy in Python using ONLY Vectorization / NO LOOPS

A Beginner's Guide 0:08:29

A Beginner's Guide to Vector Embeddings

Support Vector Machine 0:02:19

Support Vector Machine (SVM) in 2 minutes

How to Vectorize 0:01:47

How to Vectorize a For Loop in Numpy with Conditions

Understanding the numpy 0:01:19

Understanding the numpy Vectorized Function: Why Your ReLU Implementation Might Not Work as Expected

Nicolai Behmann - 0:10:59

Nicolai Behmann - Choosing the correct vectorization method - Meeting C++ 2015 Lightning Talks

Комментарии
Автор

I'd like to watch example of converting shit code implemented with loops to vectorized version. Thanks!

pythonfamily
Автор

Won't nano * 1000 equals micro Second?
In the video, it is mentioned millisecond @ 5:53

brijesh
Автор

you believe me or not im huge fan of you sir... you nailed the ML course from the roots you are teaching

navsiv
Автор

Awsome explanation....I was having difficulty to understand vecorization in Andrew ng deep learning course as I have no prior experience in python and any programming language....but your explanation just nailed it.

MsRAJDIP
Автор

sir.... im expecting more and more videos sir plz upload for me ...
i shared the chanel with my frns too as u said, plz plzzz add more videos thanks in advance

navsiv
Автор

sad to say that ML playlist have only 41 videos and that on KNN for practice purpose
i want more and more videos on PCA, AUC curve, Random Forest, SVM, error metrics, sentiment analysis pleaseee sir

navsiv