06 - User authentication with FastAPI - Part 01.zip
469.3 MB
06 - User authentication with FastAPI - Part 01
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06 - User authentication with FastAPI - Part 02.zip
56.2 MB
06 - User authentication with FastAPI - Part 02
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10 - Background Tasks for Image Generation.zip
290.7 MB
10 - Background Tasks for Image Generation
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11 - FastAPI Deployments and Application Management.zip
252.3 MB
11 - FastAPI Deployments and Application Management
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What is the output of the following Python code ❓
Anonymous Quiz
32%
A. 101
35%
B. 102
14%
C. No Output
19%
D. Error
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In this video I go over common and simple ways to customize the Django admin dashboard.
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🔅 Python GUI Development with Tkinter
🌐 Author: Barron Stone
🔰 Level: Intermediate
⏰ Duration: 4h 56m
📗 Topics: Tkinter, Python
📤 Join Learn Python for more courses
🌀 Learn how to build a graphical user interface (GUI) for your Python applications with Tkinter.
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Complete Roadmap to Learn Python Programming in 2025
Beginner Level
1. Basics of Python
- Understanding syntax and basic concepts
- Variables and data types
- Basic operators and expressions
- Input and output functions
- Conditional statements (if, elif, else)
- Loops (for, while)
2. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
3. Functions and Modules
- Defining and calling functions
- Arguments and return values
- Lambda functions
- Built-in modules and importing external modules
Intermediate Level
4. File Handling
- Reading from and writing to files
- Working with CSV, JSON, and other file formats
5. Object-Oriented Programming (OOP)
- Classes and objects
- Methods and constructors
- Inheritance and polymorphism
- Encapsulation and abstraction
6. Error Handling and Exceptions
- Try, except, finally blocks
- Raising exceptions
- Custom exceptions
7. Libraries and Frameworks
- Understanding and using popular libraries (NumPy, Pandas, Matplotlib)
- Introduction to web frameworks (Flask, Django)
Advanced Level
8. Advanced Concepts
- Decorators
- Generators
- Context managers
9. Working with Databases
- SQL and NoSQL databases
- ORM (Object-Relational Mapping) with SQLAlchemy or Django ORM
10. Web Development
- Full-stack development with Django or Flask
- RESTful APIs and backend services
11. Data Science and Machine Learning
- Data analysis with Pandas
- Data visualization with Matplotlib and Seaborn
- Machine learning with Scikit-Learn and TensorFlow
Tools and Best Practices
12. Version Control
- Using Git and GitHub for version control
- Collaboration and branching strategies
13. Testing and Debugging
- Unit testing with Unittest or PyTest
- Debugging techniques and tools
14. Development Environment
- Setting up IDEs (PyCharm, VS Code)
- Virtual environments and dependency management
15. Code Quality
- Writing clean and efficient code
- Adhering to PEP 8 standards
- Code reviews and refactoring
ENJOY LEARNING @LearnPython3
Beginner Level
1. Basics of Python
- Understanding syntax and basic concepts
- Variables and data types
- Basic operators and expressions
- Input and output functions
- Conditional statements (if, elif, else)
- Loops (for, while)
2. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
3. Functions and Modules
- Defining and calling functions
- Arguments and return values
- Lambda functions
- Built-in modules and importing external modules
Intermediate Level
4. File Handling
- Reading from and writing to files
- Working with CSV, JSON, and other file formats
5. Object-Oriented Programming (OOP)
- Classes and objects
- Methods and constructors
- Inheritance and polymorphism
- Encapsulation and abstraction
6. Error Handling and Exceptions
- Try, except, finally blocks
- Raising exceptions
- Custom exceptions
7. Libraries and Frameworks
- Understanding and using popular libraries (NumPy, Pandas, Matplotlib)
- Introduction to web frameworks (Flask, Django)
Advanced Level
8. Advanced Concepts
- Decorators
- Generators
- Context managers
9. Working with Databases
- SQL and NoSQL databases
- ORM (Object-Relational Mapping) with SQLAlchemy or Django ORM
10. Web Development
- Full-stack development with Django or Flask
- RESTful APIs and backend services
11. Data Science and Machine Learning
- Data analysis with Pandas
- Data visualization with Matplotlib and Seaborn
- Machine learning with Scikit-Learn and TensorFlow
Tools and Best Practices
12. Version Control
- Using Git and GitHub for version control
- Collaboration and branching strategies
13. Testing and Debugging
- Unit testing with Unittest or PyTest
- Debugging techniques and tools
14. Development Environment
- Setting up IDEs (PyCharm, VS Code)
- Virtual environments and dependency management
15. Code Quality
- Writing clean and efficient code
- Adhering to PEP 8 standards
- Code reviews and refactoring
ENJOY LEARNING @LearnPython3
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