Build a Data Analysis Library from Scratch in Python. Immerse yourself in a long, comprehensive project that teaches advanced Python concepts to build an entire library
Build a Data a Data Analysis Library from Scratch in Python targets those that have a desire to immerse themselves in a single, long, and comprehensive project that covers several advanced Python concepts. By the end of the project you will have built a fully-functioning Python library that is able to complete many common data analysis tasks. The library will be titled Pandas Cub and have similar functionality to the popular pandas library.
This course focuses on developing software within the massive ecosystem of tools available in Python. There are 40 detailed steps that you must complete in order to finish the project. During each step, you will be tasked with writing some code that adds functionality to the library. In order to complete each step, you must pass the unit-tests that have already been written. Once you pass all the unit tests, the project is complete. The nearly 100 unit tests give you immediate feedback on whether or not your code completes the steps correctly.
Build a Data Analysis Library from Scratch in Python Description
Students must know the fundamentals of Python. This is an intermediate/advanced course.
Must feel comfortable using and iterating through lists, tuples, sets, and dictionaries
Exposure to numpy and pandas is helpful
What you’ll learn
Build a fully-functioning Python library similar to pandas that you can use to do data analysis
Complete a large, comprehensive project
Test-driven development with pytest
Environment creation with conda
Advanced Python topics such as special methods and property decorators
Who this course is for:
- Students who understand the fundamentals of Python and are looking for a longer more comprehensive project covering advanced topics that they can immerse themselves in.
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