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Parallel Programming with Dask in Python

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Certification

Parallel Programming with Dask in Python

This course will teach you how to use Python workflows to scale up large data sets, without having to deploy distributed computing environments.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Data AnalysisData PipelineDataFrame

Learning Goals

Learn to upscale your Python workflows to efficiently handle big data with Dask
You’ll face two common obstacles: using too much memory and long runtimes
You'll learn the difference between these two task scheduling methods and which one is better under which circumstances
You'll learn how everything you know about NumPy and pandas can easily be applied to data that is too large to fit in memory

Course Content

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Prerequisites/Requirements

Data Manipulation with pandas

Instructors

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Team Anaconda

Data Science Training

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

International faculty

Reviews

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Course Cover

₹1,093

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