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Hands-On Advanced Python: Data Engineering Basics

Hands-On Advanced Python: Data Engineering Basics

1h 56mAdvanced2023-09-13

Authors

Joe Marini

Joe Marini

Senior Developer Advocate at Google, Developer

Course details

Looking to get up to speed with advanced coding skills in Python? This course was made for you. Join instructor Joe Marini in this hands-on, interactive, skills-first coding course designed for advanced-level Python developers. Explore critical Python coding skills to boost your technical know-how or prepare for an interview to land a new role. This course includes Code Challenges powered by CoderPad: interactive coding exercises with real-time feedback, so you can get hands-on coding practice to advance your coding skills. Joe helps you develop your skills as a Python programmer with five specific, data-focused coding challenges. Practice parsing and exploring data, working with collections, math and statistics, and more.

Skills covered

AdvancedPythonProgramming LanguagesOpen SourceSoftware Development

Concepts

0. Introduction

  • 01 - Hands-on with advanced Python
  • 02 - What you should know
  • 03 - Getting set up - Codespaces
  • 04 - CoderPad challenges
  • 05 - The sample weather data set

1. Parsing and Exploring Data

  • 06 - Loading and parsing JSON data
  • 07 - Basic data operations
  • 08 - Filtering data
  • 09 - Solution - Filtering
  • 10 - Sorting data
  • 11 - Transforming data
  • 12 - Solution - Transforms

2. Working with Collections

  • 13 - Count values with defaultdict
  • 14 - Using the reduce function
  • 15 - Grouping data
  • 16 - Working with dates
  • 17 - Solution - Collections

3. Math and Statistics

  • 18 - Random values
  • 19 - Random operations on sequences
  • 20 - Solution - Random days
  • 21 - Statistical functions
  • 22 - Solution - Detect outliers

Conclusion

  • 23 - Next steps

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