Design patterns to improve the speed, code reuse, and performance of your Python applications.
A knowledge of design patterns enables developers to improve their codebase, promotes code reuse, and makes the architecture more robust. This course focuses on showing you the practical aspects of smarter coding in Python.
We start off by easing you into the world of design patterns, and helping you brush up on your OOP skills. From there, you'll explore the most widely used patterns and create objects in a manner best suited to the situation. Then we take you through some patterns that will help you identify simple ways to realize relationships between entities. Next, we show you how to encapsulate behavior in an object and delegate requests to it, before we up the ante and delve into some advanced patterns. Last but not least, we'll make you aware of design styles that will hamper your development, rather than improving it.
With this course, thanks to patterns, you will be well equipped to craft faster, cleaner, and smarter applications.
About the Author :
Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, machine learning, and cloud computing. Over the past few years they have worked with some of the world's largest and most prestigious companies, including a tier-1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make more sense of its data, and process it in more intelligent ways.
The company lives by its motto: Data -> Intelligence -> Action.
Tong Qiu is a full stack web developer. She stumbled into the tech world seven years ago, through computational projects to solve pure math problems at university, and hasn’t looked back since. After graduation, she worked in a large investment bank, building solutions for massive compute parallelization before transitioning to web UI projects to address rapidly changing regulatory requirements.
Two years ago, she moved from finance to e-commerce and has been building applications in Python Django as well as React and Redux, solving problems ranging from scaling email send queues to optimizing UX for shopping journeys. She is a big fan of test coverage, and always strives to always find robust, maintainable technical solutions that can solve everyday problems in novel and elegant ways.