Course overview
In this course, you’ll learn how to build a simple data pipeline using imperative and functional paradigms. You’ll also learn how to use functional closures in Python, how to implement a well-designed pipeline API, how to write decorators, and how to apply them to functions.
At the end of the course, you’ll work on a real-world project, using a data pipeline to summarize Hacker News data. This project is a chance for you to combine the skills you learned in this course and build a real-world data pipeline from raw data to summarization.
Key skills
- Writing a robust pipeline with a scheduler in Python
- Using advanced Python concepts like closures, decorators, and more
Course outline
Building a Data Pipeline [5 lessons]
Functional Programming 2h
Lesson Objectives- Identify the differences between imperative and functional programming
- Write code in Python in a functional style using map, reduce, and filter
Pipeline Tasks 2h
Lesson Objectives- Build task functions in a pipeline
- Write functions using the functional paradigm
Building a Pipeline Class 1h
Lesson Objectives- Implement functional closures in Python
- Apply decorators to functions
- Implement a pipeline API
Multiple Dependency Pipeline 1h
Lesson Objectives- Define graph theory
- Implement a directed acyclic graph in Python
- Write a scheduler for the pipeline class
Guided Project: Hacker News Pipeline 1h
Lesson Objectives- Process JSON API data in Python.
- Expand your portfolio by building a data pipeline
Projects in this course
Hacker News Pipeline
For this project, we’ll step into the role of data engineers to process Hacker News posts using Python. We’ll apply skills in JSON parsing, string cleaning, and building data pipelines.
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