纯 Python 加速器 - 快速学习，快速见效

上次更新时间：2024-11-29

课程售价: 2.9 元

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课程内容

1. Essential Tools

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

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纯 Python 加速器 - 快速学习，快速见效

Pure Python Accelerator - Rapid Learning for Quick Results

上次更新时间：2024-11-29 09:54

课程售价：2.9元

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课程内容

16个章节 , 106个讲座

1. Essential Tools

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