Building Data Pipelines With Python Online Code



Building Data Pipelines With Python Online Code
This course is designed for intermediate Python developers who want to learn how to build data pipelines and automate workflows. The course covers a variety of different Python frameworks and tools, and requires at least 1GB of RAM and 1GB of hard drive space. more details
Key Features:
  • Course designed for intermediate Python developers
  • Includes a variety of different Python frameworks and tools
  • Requires at least 1GB of RAM and 1GB of hard drive space


R1 900.00 from WantItAll.co.za

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Brand Unbranded
Manufacturer Unbranded
Model Number B01MXRTKWC
Description
This course is designed for intermediate Python developers who want to learn how to build data pipelines and automate workflows. The course covers a variety of different Python frameworks and tools, and requires at least 1GB of RAM and 1GB of hard drive space.

Number of Videos: 3.5 hours - 35 lessons
User Level:Intermediate
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.
Mac Minimum System Requirements:Mac Recommended System Requirements:
  • Processor: Any
  • RAM: Any
  • Hard Disk: 1GB
  • Video Card: Any
  • Supported OS: Mac El Capitan 10.11, Mac Yosemite 10.10, Mac Mavericks 10.9, Mac Mountain Lion 10.8, Mac Lion 10.7, Mac Snow Leopard 10.6, Mac Leopard 10.5, Mac OS X, Macintosh

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