English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 27m | 58 MB
In this course, instructor Jonathan Fernandes guides you through a series of challenges designed to boost your skills in data analysis using Python. Learn how to utilize CoderPad for seamless code testing and debugging, within an integrated online learning environment. Discover how to create and employ Python data classes to simplify your code while maintaining robust functionality. Engage with various algorithmic problems, implementing Pythonic solutions and leveraging standard library functions. Extend your class capabilities by learning to use special methods. When you complete this course, you will have gained practical experience in solving complex problems and debugging code effectively. Whether you’re a student, a professional, or someone passionate about data science, this course provides the tools and knowledge to elevate your Python programming abilities.
Table of Contents
Introduction
1 Practice object-oriented programming with Python
2 How to practice with CoderPad
Python Code Challenges for OOP
3 Solution The month class
4 Solution First and last day
5 Solution Month delta
6 Solution Subtracting months
7 Solution Negation and multiple months
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