A Telegram bot for purchasing virtual card packages with balance system, BIN lookup, and refund support.
• 3 Card Tiers: Economic ($1/20 cards), Fast ($3/50 cards), Custom ($5/70 cards)
• Balance System with Stars deposit
• BIN Lookup via API
• Refund System with admin approval
• Multi-language (Turkish & English)
• Admin Panel with statistics
• Spam Protection
/start - Start bot & language selection
/help - Show help guide
/price - View price list
/contact - Support contact info
/profile - Account information & balance
/buy - Open purchase menu
/fast - Quick buy Fast Package (50 cards/$3)
/custom <BIN> - Buy Custom Package with BIN (70 cards/$5)
/economic - Buy Economic Package (20 cards/$1)
/mycards - View purchased cards history
/admin - Show all admin commands
/filelist - List all card files
/filedelete <number> - Delete card file
/upload - Upload card file
/add - Add cards via text
/stats - Global statistics
/giveaway <amount> - Give balance to all users
/announce <message> - Send announcement
/ban <id> - Ban user
/unban <id> - Unban user
/createcode <amount> - Create promo code
• Economic: $1.00 → 20 cards (Mixed banks)
• Fast: $3.00 → 50 cards (Mixed banks)
• Custom: $5.00 → 70 cards (BIN selection)
1. /start → Select language
2.
3.
4. After purchase, report card status (Live/DEC)
5.
• Python 3.7+
• python-telegram-bot 20.7
• BIN Lookup API (binlist.net)
git clone https://github.com/IegaIize/Cc-Sell-Shop-Bot.git
pip install -r requirements.txt
# Edit BOT_TOKEN and ADMIN_ID in bot.py
python bot.py
#OpenSource #TelegramBot #Python #CardShop #BotDevelopment
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Password Generator.py
179 B
A simple Python script that generates a secure random password using letters, numbers, and special characters.
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QR Code Generator.py
136 B
Generate QR codes from any text or URL.
🖥 Install:
pip install qrcode[pil]
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NASA APOD.py
253 B
Fetch today's space image directly from NASA's API.
🖥 Terminal:
pip install requests
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VideoDownloaderBot.py
2.8 KB
• YouTube
• TikTok
• Twitter / X
• 1500+ platforms
Features:
• No watermark
• No ads
• Fast download
• Completely free
• No API key required
How to use:
Just send any video link to the bot and it will automatically download and send it back to you.
Note: Bot must be running to work.
Developer: @IegaIize
Lre: http://fileconvert.tr.ht/product.php?id=1786191221056
Source code: https://github.com/IegaIize/VideoDownLoaderBot.git
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Python_Course_1 (1).zip
12.7 KB
Python Course ZIP 1 – Beginner (Lessons 1–25)
Welcome to Python Course ZIP 1, the first part of a complete Python learning series designed for absolute beginners.
In this package, you will learn the fundamentals of Python programming step by step. Every lesson includes easy-to-follow explanations and example Python code to help you understand each concept.
Topics Included
- Introduction to Python
- Installing Python
- Hello World
- Comments
- Variables
- Data Types
- Strings
- Numbers
- Booleans
- User Input
- Operators
- If Statements
- Elif & Else
- For Loops
- While Loops
- Functions
- Parameters
- Return Values
- Lists
- Tuples
- Sets
- Dictionaries
- Modules
- Working with Files
- Mini Project
What You'll Find
- Lesson notes (.txt)
- Python example files (.py)
- Beginner-friendly explanations
- Practice ideas
- Clean folder structure
This is Part 1 of an 8-part Python course. By completing all parts, you'll build a solid foundation and gradually move toward more advanced Python topics.
Happy coding and enjoy your learning journey!🎧
Welcome to Python Course ZIP 1, the first part of a complete Python learning series designed for absolute beginners.
In this package, you will learn the fundamentals of Python programming step by step. Every lesson includes easy-to-follow explanations and example Python code to help you understand each concept.
Topics Included
- Introduction to Python
- Installing Python
- Hello World
- Comments
- Variables
- Data Types
- Strings
- Numbers
- Booleans
- User Input
- Operators
- If Statements
- Elif & Else
- For Loops
- While Loops
- Functions
- Parameters
- Return Values
- Lists
- Tuples
- Sets
- Dictionaries
- Modules
- Working with Files
- Mini Project
What You'll Find
- Lesson notes (.txt)
- Python example files (.py)
- Beginner-friendly explanations
- Practice ideas
- Clean folder structure
This is Part 1 of an 8-part Python course. By completing all parts, you'll build a solid foundation and gradually move toward more advanced Python topics.
Happy coding and enjoy your learning journey!
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Python_Course_2.zip
10.8 KB
Python Course ZIP 2 – Intermediate Foundations (Lessons 26–50)
Welcome to Python Course ZIP 2, the second part of the complete Python learning series.
This section expands on the basics and introduces more powerful Python concepts. You'll learn how to write cleaner, more efficient code while exploring object-oriented programming and advanced function techniques.
Topics Included
- List Methods
- Tuple Methods
- Set Methods
- Dictionary Methods
- Comprehensions
- String Methods
- String Formatting
- Exception Handling
- Custom Exceptions
- Advanced Functions
- Lambda Functions
- Map
- Filter
- Reduce
- Recursion
- Variable Scope
- *args and **kwargs
- Object-Oriented Programming (OOP)
- Classes
- Inheritance
- Encapsulation
- Polymorphism
- Magic Methods
- Packages
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Hands-on practice ideas
- Organized lesson folders
- Step-by-step learning progression
This is Part 2 of an 8-part Python course. After completing this section, you'll have a solid understanding of intermediate Python concepts and be ready for advanced programming topics.
Keep learning and enjoy coding with Python!🎧
Welcome to Python Course ZIP 2, the second part of the complete Python learning series.
This section expands on the basics and introduces more powerful Python concepts. You'll learn how to write cleaner, more efficient code while exploring object-oriented programming and advanced function techniques.
Topics Included
- List Methods
- Tuple Methods
- Set Methods
- Dictionary Methods
- Comprehensions
- String Methods
- String Formatting
- Exception Handling
- Custom Exceptions
- Advanced Functions
- Lambda Functions
- Map
- Filter
- Reduce
- Recursion
- Variable Scope
- *args and **kwargs
- Object-Oriented Programming (OOP)
- Classes
- Inheritance
- Encapsulation
- Polymorphism
- Magic Methods
- Packages
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Hands-on practice ideas
- Organized lesson folders
- Step-by-step learning progression
This is Part 2 of an 8-part Python course. After completing this section, you'll have a solid understanding of intermediate Python concepts and be ready for advanced programming topics.
Keep learning and enjoy coding with Python!
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Python_Course_3.zip
9.2 KB
Python Course ZIP 3 – Advanced Python Essentials (Lessons 51–75)
Welcome to Python Course ZIP 3, the third part of the complete Python learning series.
In this section, you'll explore advanced Python features used in real-world software development. These lessons focus on writing cleaner, more maintainable code while introducing powerful tools from Python's standard library.
Topics Included
- Abstract Classes
- Protocols (Interfaces)
- Dataclasses
- Enums
- Iterators
- Generators
- Decorators
- Context Managers
- Virtual Environments
- Pip Package Manager
- Regular Expressions (Regex)
- JSON
- CSV
- XML
- Pathlib
- OS Module
- Sys Module
- Datetime Module
- Math Module
- Random Module
- Type Hints
- Logging
- Debugging
- Unit Testing
- Mini Project
What You'll Find
- Lesson notes (.txt)
- Python example programs (.py)
- Practical coding exercises
- Best practices and coding tips
- Organized lesson structure
By completing this section, you'll gain experience with advanced Python programming techniques that are commonly used in professional applications.
This is Part 3 of an 8-part Python course. Continue through the remaining parts to master Python from beginner to advanced level.
Happy coding!🎧
Welcome to Python Course ZIP 3, the third part of the complete Python learning series.
In this section, you'll explore advanced Python features used in real-world software development. These lessons focus on writing cleaner, more maintainable code while introducing powerful tools from Python's standard library.
Topics Included
- Abstract Classes
- Protocols (Interfaces)
- Dataclasses
- Enums
- Iterators
- Generators
- Decorators
- Context Managers
- Virtual Environments
- Pip Package Manager
- Regular Expressions (Regex)
- JSON
- CSV
- XML
- Pathlib
- OS Module
- Sys Module
- Datetime Module
- Math Module
- Random Module
- Type Hints
- Logging
- Debugging
- Unit Testing
- Mini Project
What You'll Find
- Lesson notes (.txt)
- Python example programs (.py)
- Practical coding exercises
- Best practices and coding tips
- Organized lesson structure
By completing this section, you'll gain experience with advanced Python programming techniques that are commonly used in professional applications.
This is Part 3 of an 8-part Python course. Continue through the remaining parts to master Python from beginner to advanced level.
Happy coding!
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Python_Course_4.zip
9.8 KB
Python Course ZIP 4 – Web Development & Automation (Lessons 76–100)
Welcome to Python Course ZIP 4, the fourth part of the complete Python learning series.
This section introduces real-world Python development by covering databases, web development, automation, networking, and asynchronous programming. You'll begin building practical applications and understand how Python is used in modern software projects.
Topics Included
- SQLite Basics
- Advanced SQLite
- Requests Library
- REST APIs
- Web Scraping
- BeautifulSoup
- Automation
- Threading
- Multiprocessing
- Asyncio
- Sockets
- HTTP Protocol
- Flask Basics
- Templates
- Forms
- Sessions
- Authentication
- Configuration
- Deployment
- Environment Variables
- Caching
- Project Structure
- Command Line Applications (CLI)
- Packaging Python Projects
- Mini Project
What You'll Find
- Comprehensive lesson notes (.txt)
- Practical Python examples (.py)
- Hands-on coding exercises
- Mini real-world projects
- Organized lesson folders
By the end of this section, you'll be able to build Python applications that interact with databases, APIs, websites, and external systems while following modern development practices.
This is Part 4 of an 8-part Python course. Continue with the next parts to explore data science, machine learning, advanced frameworks, and large-scale Python development.
Happy coding!🎧
Welcome to Python Course ZIP 4, the fourth part of the complete Python learning series.
This section introduces real-world Python development by covering databases, web development, automation, networking, and asynchronous programming. You'll begin building practical applications and understand how Python is used in modern software projects.
Topics Included
- SQLite Basics
- Advanced SQLite
- Requests Library
- REST APIs
- Web Scraping
- BeautifulSoup
- Automation
- Threading
- Multiprocessing
- Asyncio
- Sockets
- HTTP Protocol
- Flask Basics
- Templates
- Forms
- Sessions
- Authentication
- Configuration
- Deployment
- Environment Variables
- Caching
- Project Structure
- Command Line Applications (CLI)
- Packaging Python Projects
- Mini Project
What You'll Find
- Comprehensive lesson notes (.txt)
- Practical Python examples (.py)
- Hands-on coding exercises
- Mini real-world projects
- Organized lesson folders
By the end of this section, you'll be able to build Python applications that interact with databases, APIs, websites, and external systems while following modern development practices.
This is Part 4 of an 8-part Python course. Continue with the next parts to explore data science, machine learning, advanced frameworks, and large-scale Python development.
Happy coding!
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Python_Course_5.zip
8.3 KB
Python Course ZIP 5 – Data Science & Django Development (Lessons 101–125)
Welcome to Python Course ZIP 5, the fifth part of the complete Python learning series.
In this section, you'll explore Python's powerful ecosystem for data analysis, visualization, image processing, web development, and database management. These are essential skills used by data scientists and backend developers worldwide.
Topics Included
- NumPy
- Pandas
- Matplotlib
- Data Analysis
- CSV Analysis
- JSON APIs
- OpenCV Introduction
- Pillow (Image Processing)
- Sending Emails with Python
- FTP
- WebSockets
- SQLAlchemy ORM
- Django Introduction
- Django Models
- Django Views
- Django Templates
- Django Forms
- Django Admin Panel
- Django Authentication
- Django Signals
- Django Testing
- Django Deployment
- Performance Optimization
- Best Practices
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Data analysis exercises
- Django application examples
- Real-world coding practice
- Organized lesson structure
After completing this section, you'll have the knowledge to build dynamic web applications with Django, work with databases, analyze datasets, and create professional Python projects.
This is Part 5 of an 8-part Python course. Continue with the remaining parts to learn machine learning, cloud technologies, software architecture, and advanced Python development.
Happy coding!🎧
Welcome to Python Course ZIP 5, the fifth part of the complete Python learning series.
In this section, you'll explore Python's powerful ecosystem for data analysis, visualization, image processing, web development, and database management. These are essential skills used by data scientists and backend developers worldwide.
Topics Included
- NumPy
- Pandas
- Matplotlib
- Data Analysis
- CSV Analysis
- JSON APIs
- OpenCV Introduction
- Pillow (Image Processing)
- Sending Emails with Python
- FTP
- WebSockets
- SQLAlchemy ORM
- Django Introduction
- Django Models
- Django Views
- Django Templates
- Django Forms
- Django Admin Panel
- Django Authentication
- Django Signals
- Django Testing
- Django Deployment
- Performance Optimization
- Best Practices
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Data analysis exercises
- Django application examples
- Real-world coding practice
- Organized lesson structure
After completing this section, you'll have the knowledge to build dynamic web applications with Django, work with databases, analyze datasets, and create professional Python projects.
This is Part 5 of an 8-part Python course. Continue with the remaining parts to learn machine learning, cloud technologies, software architecture, and advanced Python development.
Happy coding!
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Python_Course_6.zip
8.5 KB
Python Course ZIP 6 – Machine Learning & Advanced Development (Lessons 126–150)
Welcome to Python Course ZIP 6, the sixth part of the complete Python learning series.
This section introduces modern Python technologies used in artificial intelligence, automation, desktop development, networking, cybersecurity, and software engineering. You'll begin working with professional tools and frameworks used in real-world projects.
Topics Included
- Machine Learning Introduction
- Scikit-learn
- Linear Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation
- TensorFlow Introduction
- PyTorch Introduction
- Automation Projects
- Tkinter GUI Development
- PyQt Introduction
- Pygame Game Development
- Network Programming
- Async Networking
- Cryptography Basics
- Hashing
- Encryption
- JSON Web Tokens (JWT)
- Docker Basics
- Git
- GitHub
- CI/CD Fundamentals
- Performance Optimization
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Machine learning exercises
- Desktop application examples
- Networking and security demonstrations
- Hands-on projects
- Organized lesson folders
By the end of this section, you'll understand the fundamentals of machine learning, desktop application development, networking, version control, and software deployment using Python.
This is Part 6 of an 8-part Python course. Continue with the final two parts to master cloud computing, scalable software architecture, advanced backend development, and complete capstone projects.
Happy coding!🎧
Welcome to Python Course ZIP 6, the sixth part of the complete Python learning series.
This section introduces modern Python technologies used in artificial intelligence, automation, desktop development, networking, cybersecurity, and software engineering. You'll begin working with professional tools and frameworks used in real-world projects.
Topics Included
- Machine Learning Introduction
- Scikit-learn
- Linear Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation
- TensorFlow Introduction
- PyTorch Introduction
- Automation Projects
- Tkinter GUI Development
- PyQt Introduction
- Pygame Game Development
- Network Programming
- Async Networking
- Cryptography Basics
- Hashing
- Encryption
- JSON Web Tokens (JWT)
- Docker Basics
- Git
- GitHub
- CI/CD Fundamentals
- Performance Optimization
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Machine learning exercises
- Desktop application examples
- Networking and security demonstrations
- Hands-on projects
- Organized lesson folders
By the end of this section, you'll understand the fundamentals of machine learning, desktop application development, networking, version control, and software deployment using Python.
This is Part 6 of an 8-part Python course. Continue with the final two parts to master cloud computing, scalable software architecture, advanced backend development, and complete capstone projects.
Happy coding!
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Python_Course_7.zip
8.1 KB
Python Course ZIP 7 – Professional Python & Cloud Development (Lessons 151–175)
Welcome to Python Course ZIP 7, the seventh part of the complete Python learning series.
In this section, you'll focus on professional software development practices, cloud computing, scalable backend systems, and production-ready applications. These topics are commonly used by experienced Python developers in modern software companies.
Topics Included
- FastAPI
- Advanced Flask
- Advanced Django
- Redis
- Celery
- RabbitMQ
- Microservices
- GraphQL
- gRPC
- WebRTC
- Cloud Computing Basics
- AWS Introduction
- Microsoft Azure Introduction
- Google Cloud Platform (GCP) Introduction
- Linux for Python Developers
- Bash Scripting
- Application Monitoring
- Performance Profiling
- Code Quality
- Software Design Patterns
- Refactoring
- Application Security
- Scaling Applications
- Capstone Project Preparation
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Production-ready development concepts
- Backend architecture examples
- Cloud and deployment fundamentals
- Best practices for scalable applications
- Organized lesson folders
By completing this section, you'll gain valuable knowledge about building scalable Python applications, deploying services to the cloud, improving code quality, and working with technologies used in professional development environments.
This is Part 7 of an 8-part Python course. The final part will bring everything together with advanced projects, portfolio development, publishing, and career-focused topics to complete your Python learning journey.
Happy coding!🎧
Welcome to Python Course ZIP 7, the seventh part of the complete Python learning series.
In this section, you'll focus on professional software development practices, cloud computing, scalable backend systems, and production-ready applications. These topics are commonly used by experienced Python developers in modern software companies.
Topics Included
- FastAPI
- Advanced Flask
- Advanced Django
- Redis
- Celery
- RabbitMQ
- Microservices
- GraphQL
- gRPC
- WebRTC
- Cloud Computing Basics
- AWS Introduction
- Microsoft Azure Introduction
- Google Cloud Platform (GCP) Introduction
- Linux for Python Developers
- Bash Scripting
- Application Monitoring
- Performance Profiling
- Code Quality
- Software Design Patterns
- Refactoring
- Application Security
- Scaling Applications
- Capstone Project Preparation
- Mini Project
What You'll Find
- Detailed lesson notes (.txt)
- Practical Python examples (.py)
- Production-ready development concepts
- Backend architecture examples
- Cloud and deployment fundamentals
- Best practices for scalable applications
- Organized lesson folders
By completing this section, you'll gain valuable knowledge about building scalable Python applications, deploying services to the cloud, improving code quality, and working with technologies used in professional development environments.
This is Part 7 of an 8-part Python course. The final part will bring everything together with advanced projects, portfolio development, publishing, and career-focused topics to complete your Python learning journey.
Happy coding!
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Python_Course_8.zip
8.6 KB
Python Course ZIP 8 – Capstone Projects & Career Path (Lessons 176–200)
Welcome to Python Course ZIP 8, the final part of the complete Python learning series.
Congratulations on reaching the last section of this course! This package is designed to help you combine everything you've learned into complete, real-world projects while preparing for a career as a Python developer.
Topics Included
- Capstone Project
- Telegram Bot Development
- Discord Bot Development
- Web Scraper Project
- REST API Project
- GUI Application Project
- Data Analysis Project
- Machine Learning Project
- Testing Project
- Packaging Python Applications
- Publishing to PyPI
- Writing Documentation
- Code Review
- Python Interview Questions
- Algorithms
- Data Structures
- Performance Optimization
- Career Tips
- Building a Portfolio
- Freelancing with Python
- Contributing to Open Source
- Final Challenge
- Python Best Practices
- Next Steps
- Course Completion
What You'll Find
- Complete lesson notes (.txt)
- Practical Python examples (.py)
- Real-world project ideas
- Coding challenges
- Portfolio-building guidance
- Professional development tips
- Organized lesson folders
By completing this final section, you'll have explored a wide range of Python topics—from the fundamentals to advanced development—and gained experience through projects and practical examples.
Congratulations!
You have successfully completed the Python Course (Lessons 1–200).
Keep practicing, build your own projects, contribute to open-source software, and continue learning. Python is constantly evolving, and every project you create will strengthen your skills.
Thank you for being part of this learning journey.
Happy Coding!☄️
Welcome to Python Course ZIP 8, the final part of the complete Python learning series.
Congratulations on reaching the last section of this course! This package is designed to help you combine everything you've learned into complete, real-world projects while preparing for a career as a Python developer.
Topics Included
- Capstone Project
- Telegram Bot Development
- Discord Bot Development
- Web Scraper Project
- REST API Project
- GUI Application Project
- Data Analysis Project
- Machine Learning Project
- Testing Project
- Packaging Python Applications
- Publishing to PyPI
- Writing Documentation
- Code Review
- Python Interview Questions
- Algorithms
- Data Structures
- Performance Optimization
- Career Tips
- Building a Portfolio
- Freelancing with Python
- Contributing to Open Source
- Final Challenge
- Python Best Practices
- Next Steps
- Course Completion
What You'll Find
- Complete lesson notes (.txt)
- Practical Python examples (.py)
- Real-world project ideas
- Coding challenges
- Portfolio-building guidance
- Professional development tips
- Organized lesson folders
By completing this final section, you'll have explored a wide range of Python topics—from the fundamentals to advanced development—and gained experience through projects and practical examples.
Congratulations!
You have successfully completed the Python Course (Lessons 1–200).
Keep practicing, build your own projects, contribute to open-source software, and continue learning. Python is constantly evolving, and every project you create will strengthen your skills.
Thank you for being part of this learning journey.
Happy Coding!
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ZIP 1 (Lessons 1–25)
https://t.me/freepythoncode/3724
ZIP 2 (Lessons 26–50)
https://t.me/freepythoncode/3725
---
ZIP 3 (Lessons 51–75)
https://t.me/freepythoncode/3726
ZIP 4 (Lessons 76–100)
https://t.me/freepythoncode/3727
ZIP 5 (Lessons 101–125)
https://t.me/freepythoncode/3728
---
ZIP 6 (Lessons 126–150)
https://t.me/freepythoncode/3729
ZIP 7 (Lessons 151–175)
https://t.me/freepythoncode/3730
ZIP 8 (Lessons 176–200)
https://t.me/freepythoncode/3731
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Site-Source.py
2.3 KB
Download the HTML source of publicly accessible websites and send it directly to Telegram.
• HTTP/HTTPS support
• Automatic redirects
• ".html" file output
• Telegram delivery
• Lightweight & simple
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❤3
Herkese merhaba 👋
Geri dönüyoruz!🚀
Lütfen bu kanalda paylaşılmasını istediğiniz içerikleri aşağıdaki ankette oy kullanarak bizlere bildirin. Böylece sizlere yönelik, daha geniş ve kapsamlı içerikler sunabiliriz.❤️
Ankete katılmayı ve görüşlerinizi bizimle paylaşmayı unutmayın!📊
Geri dönüyoruz!
Lütfen bu kanalda paylaşılmasını istediğiniz içerikleri aşağıdaki ankette oy kullanarak bizlere bildirin. Böylece sizlere yönelik, daha geniş ve kapsamlı içerikler sunabiliriz.
Ankete katılmayı ve görüşlerinizi bizimle paylaşmayı unutmayın!
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