5, 10 or 20 seats+ for your team - learn more
In this series of liveProjects, you'll hone your Python skills with core techniques, functions, and data structures in Python. Practicing these skills against hands-on challenges will improve your ability to understand Python code, and flexibly use the language.
In this liveProject, you’ll create Python functions for specific data cleaning operations to help import product data from a legacy system into a new pipeline. You’ll work with a delimited text file with unhandy export conventions, and utilize functions to clean and convert fields for cleaner and seamless data transfer. You’ll even break your new operations down into separate functions so that you can easily reuse your code at a later date.
In this liveProject, you’ll utilize Python to create new data reports from a centralized system. You’ll work with raw data about the sales of various products, and massage it into a different format from which subreports can be extracted. To do this, you’ll make use of lists—one of the most common data structures in Python that are at the heart of data processing.
In this liveProject, you’ll utilize Python dictionaries to efficiently combine a file of product info and a file of sales entries. You’ll take on the role of a data engineer in a company that has been modernizing its sales systems, and tackle a common data merging task to help generate useful reports. Solve the challenges of this project, and you’ll understand the real power and flexibility of dictionaries and how they are used literally everywhere in Python.
In this liveProject, you’ll refactor a legacy module with unpredictable functionality to make it fit for your needs. The module behaves strangely whenever you import it, and so your task is to find the problem by exploring the ways that import in Python works. Your new knowledge will allow you to fix the issues in the test module, and create safer modules and multi-module packages.
In this liveProject, you’ll explore the unique way that exceptions work in Python. Python makes frequent use of exceptions, but they often function in a very different way than other programming languages. You’ll experiment with the basic try-and-except structure used for handling exceptions, then dive into using inheritance with exceptions, and creating your own hierarchy of exceptions.
This liveProject is for both new and experienced Python programmers who want to improve their understanding of the language. To begin this liveProject you will need to be familiar with the following:
geekle is based on a wordle clone.