Large Python Codebases with Libraries

Course

Learn how you can write, structure, and extend your code to be able to support developing large systems at scale. Understand how you can leverage open source libraries to quickly add advanced functionality to your code and how you can package your code into libraries of your own. Apply Object Oriented Programming to ensure that your code remains modular, clear, and understandable. Honing these skills are the foundations for building codebases that are maintainable and efficient as they grow to tens of thousands of lines.

Intermediate

4 weeks

Real-world Projects

Completion Certificate

Last Updated July 26, 2024

Skills you'll learn:

Python library fluency • Object-oriented Python • Command line tools • Python virtual environments

Prerequisites:

Basic Python

Course Lessons

Lesson 1

Course Overview

In this lesson, we'll introduce your instructor, give a brief overview of the course, and look ahead to what you'll be building for your final project.

Lesson 2

Foundations

We'll explore the Python language and the core programming design patterns you'll need to write clear and concise code—including object-oriented programming, documentation, typing, and tests.

Lesson 3

Building Modules

Large codebases are built by combining many smaller building blocks of code known as modules. We'll build on our knowledge of object-oriented programming to create scalable Python modules.

Lesson 4

Using Libraries

The Python community has thousands of publically available, open-source libraries we can use as modules in our software. We'll learn how we can install and use these resources!

Lesson 5

Python in Systems

We'll learn how to effectively interface with our software through the command line as well as use other powerful command-line tools in our Python code

Lesson 6

Python for Web

Learn how to use Python to consume web content and serve complex applications!

Lesson 7 • Project

Project: Motivational Meme Generator

For this project, you'll build a "meme generator". This will demonstrate your newly learned skills by creating a dynamic, data-rich application that generates images with quotes.

Taught By The Best

Gabriel Ruttner

Instructor

Gabe is the CTO at Ursa & Tech Advisor for Start-Ups. Gabe has expertise in building cloud-based machine learning and natural language processing services at early stage tech companies. He holds technical degrees from Cornell University and Stony Brook University.

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
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Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.