How to create an array of 1 million cross 1 million in dask?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

How to create an array of 1 million cross 1 million in dask?

How to create an array of 1 million cross 1 million in dask?

This recipe helps you create an array of 1 million cross 1 million in dask

0

Recipe Objective

How to create an array of 1million cross 1million in dask.

The normal Dask schedulers are good enough to work out solely on those blocks that are necessary to attain the required slicing. We produce a Dask array with a trillion components with million part sized blocks. We tend to operate the whole array and at last slice out solely a little of the output Dask continues to return one chunk per input chunk. However, if you have got several repetitions from an identical input chunk, the output chunk might be a lot larger.

Step 1- Importing Libraries.

import dask.array as da

Step 2- Creating a 2million cross 2million array.

y = da.ones((2000000, 2000000), chunks=(500, 500))

Trillion elements array of ones, are now divided into 500 by 500 blocks.

print(y)

Relevant Projects

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

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.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

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.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

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.

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.

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.