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Infinite Skills Building Data Pipelines With Python

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Infinite Skills Building Data Pipelines With Python
Infinite Skills Building Data Pipelines With Python
General:Training

Size: 966.26 MB




## Downloads www.infiniteskills.com/02446
This course shows you how to build data pipelines and
automate workflows using Python 3. From simple task
based messaging queues to complex frameworks like Luigi
and Airflow, the course delivers the essential knowledge
you need to develop your own automation solutions
You'll learn the architecture basics, and receive an
introduction to a wide variety of the most popular
frameworks and tools

Designed for the working data professional who is new to
the world of data pipelines and distributed solutions
the course requires intermediate level Python experience
and the ability to manage your own system set-ups

Acquire a practical understanding of how to approach
data pipelining using Python toolsets
Master the ability to determine when a Python
framework is appropriate for a project
Understand workflow concepts like directed acyclic
graphs, producers, and consumers
Learn to integrate data flows into pipelines
workflows, and task-based automation solutions
Understand how to parallelize data analysis, both
locally and in a distributed cluster
Practice writing simple data tests using property
based testing

Katharine (AKA Kjam) Jarmul is a Python developer, data
consultant, and educator who has worked with Python
since 2008. Kjam runs kjamistan UG, a Python consulting
training, and competitive analysis company based in
Berlin, Germany. She is the author of several O'Reilly
titles, including Data Wrangling with Python: Tips and
Tools to Make Your Life Easier. She holds an M.A. from
American University and an M.S. from Pace University

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