Parallel Programming with Dask in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Data Manipulation with pandas
What You Will Learn
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 Instructors
Course Reviews
Average Rating Based on 3 reviews
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