Python Input Validation Explained in 20 Minutes

Published: 13 June 2024
on channel: Ryan & Matt Data Science

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Want to write safer, cleaner Python code? This tutorial dives into input validation — why it matters, how to implement it, and common techniques using built-in functions and try/except blocks.

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In this video, I teach you how to validate user input in Python using while loops, if and else statements, and try and accept blocks. We walk through five different validation examples, starting with basic string validation for player names using the is Alpha method, then moving to integer validation for home runs where values must fall between 0 and 80.

Next, we tackle float validation with batting averages ranging from 0.000 to 0.500, followed by a more advanced string validation example where we define our own set of invalid characters instead of relying on is Alpha. Finally, we wrap up with date validation for baseball game dates, ensuring they fall within the February through October season using Python's datetime module.

Each example builds on the previous one, showing you practical ways to handle different data types and validation requirements. By the end of this tutorial, you should be comfortable validating strings, integers, floats, and dates in your own Python projects. If you need to brush up on while loops, user input, or if/else statements first, I have separate videos covering those topics on the channel.

TIMESTAMPS
00:00 Introduction to Input Validation
00:53 Example 1: Validating Player Name (String - Basic)
03:02 Example 2: Validating Home Runs (Integer)
05:17 Example 3: Validating Batting Average (Float)
09:13 Example 4: Validating Player Name (String - Advanced)
13:28 Example 5: Validating Baseball Game Date
19:03 Recap & Conclusion

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Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.

Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.

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