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!
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
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!
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
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!
Please open Telegram to view this post
VIEW IN TELEGRAM
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!
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
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
Please open Telegram to view this post
VIEW IN TELEGRAM
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
Please open Telegram to view this post
VIEW IN TELEGRAM
❤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!
Please open Telegram to view this post
VIEW IN TELEGRAM
İstediğiniz bot altyapısı varmı ❓
Önerileri alalım sonra başlayalım📈 ✔️
🔼 Emojilere Basmayı Unutmayın
Önerileri alalım sonra başlayalım
Please open Telegram to view this post
VIEW IN TELEGRAM
❤3
@freedollarsmethodbot ❤️
Alt Yapı Satılık. 300₺ Api İle Beraber Vereceğim Pazarlık Yapılır Almak İçin @IegaIize✔️
Alt Yapı Satılık. 300₺ Api İle Beraber Vereceğim Pazarlık Yapılır Almak İçin @IegaIize
Please open Telegram to view this post
VIEW IN TELEGRAM
postbot.py
34.4 KB
Düğmeli gönderiler oluşturup paylaşmanızı sağlayan bot.
---
Metin (HTML), Fotoğraf, Video, GIF, Sticker, Ses, Dosya
3 renk (
Mavi/Yeşil/Kırmızı) | Format: Buton — Link — Renk14 haneli kod ile | Inline: @bot_username kod
Listeleme | Silme: /delete_kod | İsim değiştirme
ID ve istatistikler
---
/start → Gönderi oluştur → İçerik gönder → Done → İsim ver → Paylaş
---
Site — https://example.com — yeşil
Destek — @kanal — mavi
---
pip install pyTelegramBotAPI
export BOT_TOKEN="token"
python postbot.py
---
Bot: @jacksonmbot
Version 1.0
Please open Telegram to view this post
VIEW IN TELEGRAM
❤2🔥2
Forwarded from Jackson Marc
🚀 PostBot — Gönderilerini Oluştur, Kaydet ve Paylaş!
Telegram üzerinde profesyonel görünümlü gönderiler oluşturmak artık çok kolay. ✨
📝 Metin gönderileri oluştur
🖼️ Fotoğraf, video, GIF, sticker, ses ve dosya desteğinden yararlan
🔘 Gönderilerine renkli butonlar ekle
💾 Gönderilerini kaydet ve benzersiz 14 karakterli post kodu oluştur
📤 Kodunu göndererek kaydettiğin gönderiyi anında tekrar paylaş
⚡ Inline kullanım ile istediğin sohbette kolayca gönder
👤 Profilinden oluşturduğun gönderileri ve istatistiklerini görüntüle
Örnek kullanım:
"rgbmg1i89zwq51"
Kodu @jacksonmbot'a gönder → kayıtlı gönderin otomatik olarak karşına gelsin. 🤖
Source Kod, https://t.me/freepythoncode/3790
✨ Kolay • Hızlı • Pratik
🤖 @jacksonmbot
Telegram üzerinde profesyonel görünümlü gönderiler oluşturmak artık çok kolay. ✨
📝 Metin gönderileri oluştur
🖼️ Fotoğraf, video, GIF, sticker, ses ve dosya desteğinden yararlan
🔘 Gönderilerine renkli butonlar ekle
💾 Gönderilerini kaydet ve benzersiz 14 karakterli post kodu oluştur
📤 Kodunu göndererek kaydettiğin gönderiyi anında tekrar paylaş
⚡ Inline kullanım ile istediğin sohbette kolayca gönder
👤 Profilinden oluşturduğun gönderileri ve istatistiklerini görüntüle
Örnek kullanım:
"rgbmg1i89zwq51"
Kodu @jacksonmbot'a gönder → kayıtlı gönderin otomatik olarak karşına gelsin. 🤖
Source Kod, https://t.me/freepythoncode/3790
✨ Kolay • Hızlı • Pratik
🤖 @jacksonmbot
havadurumu.py
3.2 KB
Python ile şehir adını girerek API üzerinden hava durumu bilgilerini çekiyoruz. 🚀
https://geocoding-api.open-meteo.com/
https://api.open-meteo.com/
pip install requests
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
githubapii.py
11.1 KB
GitHub hesaplarını ve repoları terminal üzerinden hızlıca inceleyebileceğiniz Python tabanlı bir araç.
•
•
•
•
•
•
•
📦 Kurulum:
pip install requests
https://api.github.com
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1