MENU

Fun & Interesting

Python Data Types for Beginners | Python tutorial

Dave Gray 50,917 2 years ago
Video Not Working? Fix It Now

Web Dev Roadmap for Beginners (Free!): https://bit.ly/DaveGrayWebDevRoadmap Learn Python data types in this beginners tutorial. You will learn about Python basic data types, literal assignments, constructor functions, methods, built-in Python functions, and more. 💖 Support me on Patreon ➜ https://patreon.com/davegray ⭐ Become a full-stack dev with Zero To Mastery Courses: - The Complete Python Developer: https://bit.ly/CompPythonDev - Complete Machine Learning & Data Science: https://bit.ly/CompMachineLearning - Junior to Senior Dev Roadmap: https://bit.ly/WebDevRoadmap-JrtoSr 🚩 Subscribe ➜ https://bit.ly/3nGHmNn 📬 Course Updates ➜ https://courses.davegray.codes/ ❓ Questions - Please post them to my Discord ➜ https://discord.gg/neKghyefqh ☕ Buy Me A Coffee ➜ https://www.buymeacoffee.com/davegray 👇 Follow Me On Social Media: Github: https://github.com/gitdagray Twitter: https://twitter.com/yesdavidgray LinkedIn: https://www.linkedin.com/in/davidagray/ 🔗 Source Code: https://github.com/gitdagray/python-course 🔗 Playlist for this Python Course: https://bit.ly/dg-beginners-python Python Data Types Tutorial 🐍 (00:00) Intro (00:05) Welcome (00:13) Naming a Python file (01:01) Literal Assignment & Checking Data Types (03:37) Constructor functions (05:49) String concatenation (07:00) Casting a number to a string (08:39) Multi-line strings (10:07) Escaping Special Characters (12:51) String Methods (19:19) Building a Menu (22:18) String Indexes & Index Ranges (24:36) Boolean data type (27:48) Integer data type (28:50) Float data type (29:36) Complex numeric data type (30:53) Built-in numeric functions (32:51) The math module (35:31) Casting a string to a number 📚 Tutorial References: 🔗 Python Official Site: https://www.python.org/ 🔗Visual Studio Code Official Site: https://code.visualstudio.com/ Was this Python Data Types tutorial for beginners helpful? If so, please share. Let me know your thoughts in the comments. #python #data #types

Comment