Build high-performance, distributed, and parallel applications in Dask
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand the concept of Block algorithms and how Dask leverages it to load large data
Implement various example using Dask Arrays, Bags, and Dask Data frames for efficient parallel computing
Combine Dask with existing Python packages such as NumPy and pandas
See how Dask works under the hood and the various in-built algorithms it has to offer
Leverage the power of Dask in a distributed setting and explore its various schedulers
This comprehensive Scalable Data Analysis in Python with Dask curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Scalable Data Analysis in Python with Dask course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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