Explain with example on how to visualize dask computations?
This recipe explains what with example on how to visualize dask computations
Recipe Objective
How to visualize dask computations? Explain with example
Step 1- Importing Libraries.
import dask
Step 2- Defining Function to display.
We will create a sample list.
We will define some sample functions and then we will apply the Delay function after combining all the functions.
def increase(x):
return x + 2
def triple(x):
return x * 3
def divide(x,y):
return y/x
def add(x, y, z):
return x + y +z
data = [5, 10, 15, 20, 25, 30, 35, 40]
y=100
output = []
for x in data:
a = increase(x)
b = triple(x)
c = divide(x,y)
d = add(a, b, c)
output.append(d)
total = dask.delayed(sum)(output)
total
Step 3- Visualizing the function.
total.visualize()
What Users are saying..
Ameeruddin Mohammed
ETL (Abintio) developer at IBM
I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More
Relevant Projects
Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students
You might also like
Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture
Relevant Projects
Build a Graph Based Recommendation System in Python -Part 1
Python Recommender Systems Project - Learn to build a graph based recommendation system in eCommerce to recommend products.
End-to-End Snowflake Healthcare Analytics Project on AWS-1
In this Snowflake Healthcare Analytics Project, you will leverage Snowflake on AWS to predict patient length of stay (LOS) in hospitals. The prediction of LOS can help in efficient resource allocation, lower the risk of staff/visitor infections, and improve overall hospital functioning.
Loan Eligibility Prediction in Python using H2O.ai
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
PyTorch Project to Build a LSTM Text Classification Model
In this PyTorch Project you will learn how to build an LSTM Text Classification model for Classifying the Reviews of an App .
Recommender System Machine Learning Project for Beginners-2
Recommender System Machine Learning Project for Beginners Part 2- Learn how to build a recommender system for market basket analysis using association rule mining.
Learn to Build a Siamese Neural Network for Image Similarity
In this Deep Learning Project, you will learn how to build a siamese neural network with Keras and Tensorflow for Image Similarity.
Recommender System Machine Learning Project for Beginners-4
Collaborative Filtering Recommender System Project - Comparison of different model based and memory based methods to build recommendation system using collaborative filtering.
CycleGAN Implementation for Image-To-Image Translation
In this GAN Deep Learning Project, you will learn how to build an image to image translation model in PyTorch with Cycle GAN.
Text Classification with Transformers-RoBERTa and XLNet Model
In this machine learning project, you will learn how to load, fine tune and evaluate various transformer models for text classification tasks.
Time Series Classification Project for Elevator Failure Prediction
In this Time Series Project, you will predict the failure of elevators using IoT sensor data as a time series classification machine learning problem.