How does Dask help the map function in faster execution?

How does Dask help the map function in faster execution

Get access to Data Science projects View all Data Science projects
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

Recipe Objective.

How does Dask help the map function in faster execution.

Dask has the capabilty that it will modify efficient parallel computations on single machines by investing their multi-core CPUs and streaming information with efficiency from disk. Dask will run on a distributed cluster.It permits the user to exchange clusters with a single-machine computer hardware which might bring down the overhead

Now we've to find out however the mapping works in Dask Functions.

``` df['new_col']=df['col2].map_parttion(some_func) ```

Mapping in dask is done for bigger and longer dataframes for effective usage.

What Users are saying..

profile image

Savvy Sahai

Data Science Intern, Capgemini
linkedin profile url

As a student looking to break into the field of data engineering and data science, one can get really confused as to which path to take. Very few ways to do it are Google, YouTube, etc. I was one of... 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

House Price Prediction Project using Machine Learning in Python
Use the Zillow Zestimate Dataset to build a machine learning model for house price prediction.
View Project Details
Build a Churn Prediction Model using Ensemble Learning
Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python
View Project Details
Build Classification Algorithms for Digital Transformation[Banking]
Implement a machine learning approach using various classification techniques in Python to examine the digitalisation process of bank customers.
View Project Details
Many-to-One LSTM for Sentiment Analysis and Text Generation
In this LSTM Project , you will build develop a sentiment detection model using many-to-one LSTMs for accurate prediction of sentiment labels in airline text reviews. Additionally, we will also train many-to-one LSTMs on 'Alice's Adventures in Wonderland' to generate contextually relevant text.
View Project Details
Deep Learning Project for Beginners with Source Code Part 1
Learn to implement deep neural networks in Python .
View Project Details
Deep Learning Project for Text Detection in Images using Python
CV2 Text Detection Code for Images using Python -Build a CRNN deep learning model to predict the single-line text in a given image.
View Project Details
Isolation Forest Model and LOF for Anomaly Detection in Python
Credit Card Fraud Detection Project - Build an Isolation Forest Model and Local Outlier Factor (LOF) in Python to identify fraudulent credit card transactions.
View Project Details
Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
View Project Details
Build ARCH and GARCH Models in Time Series using Python
In this Project we will build an ARCH and a GARCH model using Python
View Project Details
Build Customer Propensity to Purchase Model in Python
In this machine learning project, you will learn to build a machine learning model to estimate customer propensity to purchase.
View Project Details