Advanced Python: Working With Data

2h 5mAdvanced2024-08-15

Authors

Joe Marini

Senior Developer Advocate at Google, Developer

Course details

Data science is one of the fastest-growing areas of technology today. And whether you work with large data sets or just need to process spread sheet files, Python is a great language to use when working with data-intensive applications. In this course, Joe Marini gets you started on working with data in Python, highlighting some of the most useful built-in features of the language. Using a real data set from the United States Geological Survey that tracks earthquake information, Joe shows you how to perform data operations like sorting and filtering, determining basic information like minimum and maximum values, and reading and writing data to and from other formats like CSV and JSON. Check out this course with Joe to see how Python can help you make sense of your data.

Skills covered

Data Resource ManagementAdvancedPythonDatabase ManagementProgramming LanguagesOpen SourceSoftware Development

Concepts

0. Introduction

01 - Python and Data - Made for each other
02 - Getting Set Up
03 - The sample data set
04 - Tour of CoderPad

1. Built-In Data Functions

05 - Using built-in functions
06 - Finding min and max values
07 - Data utility functions
08 - Sorting data
09 - Data filtering
10 - Data transformation
11 - Solution - Build a data summary

2. Collection Classes

12 - Overview of collection classes
13 - Named tuples
14 - Default dictionaries
15 - Counters
16 - The deque class
17 - Solution - Classify event types

3. Serializing Data in Python

18 - Overview of serialization
19 - Serializing data as CSV
20 - Serializing data as JSON
21 - Deserialization of data
22 - Code Challenge - Create a CSV file
23 - Solution - Create a CSV file

4. Python Logging

24 - Overview of logging
25 - Basic logging
26 - Custom logging

Conclusion

27 - Next steps