Explain with example on how to visualize dask computations?

Explain with example on how to visualize dask computations?

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.


Relevant Projects

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Deep Learning with Keras in R to Predict Customer Churn
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

Predict Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.