Learn Python
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09 - File Uploads with FastAPI.zip
236.1 MB
09 - File Uploads with FastAPI
10 - Background Tasks for Image Generation.zip
290.7 MB
10 - Background Tasks for Image Generation
11 - FastAPI Deployments and Application Management.zip
252.3 MB
11 - FastAPI Deployments and Application Management
⌨️ Python Question / Quiz
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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
⌨️ Number System Conversion
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⌨️ Python hollow inverted pyramid shape pattern program
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⌨️ Topic to master Python
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⌨️ Different ways to reverse a list in Python
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⌨️ Python Decorator
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Python GUI Development with Tkinter.zip
647.7 MB
📱Learn Python
📱Python GUI Development 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
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🔰 Python Quiz
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Options:
Anonymous Quiz
76%
A
9%
B
6%
C
10%
D
🔰 Extract All Emojis from a Text 🔰

📋 This Python program extracts all the emojis from a given text string!

import demoji

text = "Enjoy your meal! 🍽🍕🍔🍟"
emojis = demoji.findall(text)
print("Emojis found:", list(emojis.keys()))


Example Output:
Emojis found: ['🍽', '🍕', '🍔', '🍟']

🔗 Learn More Here
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