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Course Introduction https://player.vimeo.com/video/1103048458
Course Lession
1.Python Introduction
2.Python Data Types
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2.01 - Python Basics Learning Process Introduction Enroll to Access
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2.02 - Python Data Types Introduction Enroll to Access
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2.03 - Mastering Python Strings: Tips, Tricks, and Best Practices Enroll to Access
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2.04 - Python Lists: An Ultimate Guide to Mastering List Manipulation Enroll to Access
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2.05 - Python Lists: An Ultimate Guide to Mastering List Manipulation 2 Enroll to Access
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2.06 - Python Tuples: Understanding Immutable Sequences and their Applications Enroll to Access
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2.07 - Python Sets: Powerful Unordered Collections for Data Manipulation and Analysis Enroll to Access
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2.08 - Exploring the Power of Python Dictionaries: A Comprehensive Guide Enroll to Access
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2.09 - Mastering Python Data Types: Interview Questions and Answers Enroll to Access
3.Python Data Operators
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3.01 - Python Data Operators Enroll to Access
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3.02 - Python Data Arithmetic Operators Enroll to Access
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3.03 - Python Data Comparison Operators: Comparing Values and Making Logical Decisions Enroll to Access
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3.04 - Python Data Logical Operators: Mastering Boolean Logic and Conditionals Enroll to Access
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3.05 - Python Data Membership Operators: Exploring Set Membership and Substring Searching Enroll to Access
4.Python Functions
5.Python Classes
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5.01 - Python Class Basics: An Introduction to Object-Oriented Programming Enroll to Access
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5.02 - Python Inheritance: Extending and Reusing Code through Class Hierarchies Enroll to Access
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5.03 - Python Polymorphism: Harnessing the Power of Dynamic and Flexible Object Behavior Enroll to Access
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5.04 - Python Encapsulation: Securing and Controlling Data with Access Modifiers and Class Encapsulation Enroll to Access
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5.05 - Python Abstract Classes: Defining Interfaces and Promoting Code Abstraction Enroll to Access
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5.06 - Python class real-time example Enroll to Access
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5.07 - Difference between python class and function Enroll to Access
6.Python General Topics
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6.01 - Python Decision Statements: Making Choices in Your Code Enroll to Access
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6.02 - Python Loops: Iterating and Repeating Code Blocks Enroll to Access
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6.03 - Python Exception Handling: Managing Errors and Exceptions in Your Code Enroll to Access
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6.04 - Python Decorators: Enhancing Functions with Dynamic Wrappers Enroll to Access
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6.05 - Python Generators: Efficiently Generating and Iterating Over Data Enroll to Access
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6.06 - Difference between function, decorators, generators Enroll to Access
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6.07 - Python Logging: Capturing and Managing Application Events and Messages Enroll to Access
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6.08 - Python Coding Styles: Best Practices for Readable and Maintainable Code Enroll to Access
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6.09 - Python Test Cases: Ensuring Code Quality through Automated Testing Enroll to Access
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6.10 - Python Multithreading and Processing: Concurrent Execution for Improved Performance Enroll to Access