DATA TYPES in Python (Numbers, Strings, Lists, Dictionary, Tuples, Sets) - Python for Beginners
🎓 Welcome back to Digital Academy, the Complete Python Development Tutorial for Beginners, which will help you understanding ALL of the Basic Data Types in Python.
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🖥️ Now that you have installed Python and that you know how to interact with the Python Interpreter, and execute Python code, it is time to dig into the Basic Data Types in Python (Numbers, Strings, Lists, Dictionary, Tuples, Sets) and Variables.
Data Types are the classification / categorisation of Data Items. It represents the kind of value that tells what operations can be performed, on a particular data (add, remove, indexing, slicing, etc. - whether they are mutable, or not)
When choosing a Data Type in Python, it is quite useful to understand the properties of that type. Choosing the right type or collection, and for a particular Data Set, means an increase in: productivity, efficiency, and security!
🎯 What does Mutable and Immutable mean? What Data Type should you use? How to convert one Data Type, into another one (Type Conversion / Casting), so you can perform other actions? Don't worry, By the end of this video, you will be familiar with: What objects of these types look like, and How to represent them!
Let's play this video, stick around and watch until the end! 👍🏻
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▬▬▬▬ ⏱ Timestamps ▬▬▬▬
00:00 | Intro
00:09 | Introduction
00:48 | Definition: Data Types
01:26 | Mutable / Immutable Objects
02:25 | Numbers (integer, float, complex, boolean)
02:59 | Integers
03:31 | Float
03:56 | Complex
04:20 | Boolean
05:12 | Strings in Python
06:11 | Lists in Python
07:21 | Dictionary in Python
08:18 | Tuples in Python
09:10 | Sets in Python
09:50 | Data Type Conversion (Casting)
11:10 | Conclusion
11:20 | Subscribe, Like, Comment & Share
#Python #Tutorial #Beginners #Variables #DataTypes
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