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Pure Python Accelerator - Rapid Learning for Quick Results

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上一讲： 5. Setting Default Values For Parameters

下一讲： 2. What Are Lists in Python

视频列表

1. Essential Tools
2. Intro
3. Creating a New Python Project in replit.com
2. Variables and Basic Python Concepts
1. Intro
2. What is Python
3. Console Magic Unleashing the Power of Python's Print Function
5. Single Quotes vs Double Quotes
6. Variables in Python
8. Variable Naming Conventions
10. Input Function
12. Common Errors in Python
3. Data Types
1. Intro
2. Int and Str Data Types
4. Float and Boolean Data Types
6. String Bulti-In Functions
8. Numerical Built-In Functions
9. Type Casting
4. Operators in Python
1. Intro
2. The Assignment Operators
3. The Arithmetic Operators
5. Operator Precedence
7. Comparison Operators
9. Boolean Operators
5. Control Flow in Python
1. Intro
2. The if Statement
3. Hold the Result Of a Condition Into a Variable
4. if Body with Multiple Lines
5. The else Part
7. Multiple Conditions
9. Nested if
11. Combining Conditions with Boolean Operators
6. Writing Your Own Functions
1. Intro
2. Writing Your First Python Function
3. Functions That Accept Parameters
4. Returning a Value From a Function
5. Setting Default Values For Parameters
7. Data Structures in Python - Lists
1. Intro
2. What Are Lists in Python
3. List Indexing
4. Inserting New Items Into a List
5. Removing Items From a List
6. 5- Updating an Item From a List
8. Sorting a List
9. Finding an Item in a List - The in Keyword
10. Slicing a List
8. Loops in Python
1. Intro
2. Why Do We Need Loop Structures
3. The for Loop in Python
4. Iterating Over a List
5. Infinite Loop
9. To Do App - Use All You Have Learned Until Now!
1. Intro
2. How Does the To-do App Work
3. Implementing the Main Structure Of the To-do App
4. Implementing the add_task() Function
5. Implementing the show_tasks() Function
6. Implementing the edit_task() Function
7. Implementing the delete_task() Function
10. Data Structures in Python - Tuples
1. Intro
2. Tuples vs Lists
3. Returning Multiple Values From a Function by Using a Tuple
4. Unpacking Tuples
5. Advantages of Tuples Over Lists
7. A Collection of Collections
9. Iterating Over a Collection of Collections
11. Data Structures in Python - Sets
1. Intro
2. How Does a Set Work in Python
4. Set Advantages (Case-Study #1)
5. Set Advantages (Case-Study #2)
6. Set Advantages (Case-Study #3)
7. The difference() Function
8. The union() Function
9. The isdisjoint() Function
10. The issubset() Function
12. How Does Dictionary work in Python
12. Comprehension in Python Filtering and Mapping Lists, Tuples, Sets and Dicts
1. Intro
2. Mapping a List by Using List Comprehension
3. Filtering a List by Using List Comprehension
4. Mapping a Dictionary by Using Dictionary Comprehension
5. Filtering a Dictionary by Using Dictionary Comprehension
13. Classes and Objects
1. Intro
2. Object-Oriented Programming A Powerful Paradigm for Software Design
3. What Are Classes in Python
4. What is self
5. Encapsulation
14. File Input Output
1. Intro
2. Reading From a File
3. Appending a Content To the End of a File
4. Replacing the Content
5. Iterating Through the Lines of a File
6. Writing a List of Lines Into a File
15. Exception Handling
1. Intro
2. Types of Errors
3. What is an Exception
4. How Does Exception Handling Help Us
5. The else Part
6. The finally Block
7. Types of an Exception
16. Task Management System Leverage Your Python Programming Skills All in One
1. Intro
2. How Does the Task Management System Work
3. Implementing the Task Class
4. Implementing the create_task() Function
5. Implementing the display_tasks() Function
6. Implementing the save_tasks() Function
7. Implementing the load_tasks() Function
8. Implementing the update_task_status() Function
9. Put it All Together!
10. Testing the Task Management System