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This channel is for Programmers, Coders, Software Engineers.

1) Python
2) django
3) python frameworks
4) Data Structures
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6) DSA

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⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data science books available to those interested in this field for free .

✔️ To use the online and PDF versions of these books, you can use the following links:👇

0⃣ Python Data Science Handbook
Online
PDF

1⃣ Python for Data Analysis book
Online
PDF

🔢 Fundamentals of Data Visualization book
Online
PDF

🔢 R for Data Science book
Online
PDF

🔢 Deep Learning for Coders book
Online
PDF

🔢 DS at the Command Line book
Online
PDF

🔢 Hands-On Data Visualization Book
Online
PDF

🔢 Think Stats book
Online
PDF

🔢 Think Bayes book
Online
PDF

🔢 Kafka, The Definitive Guide
Online
PDF

#DataScience #Python #DataAnalysis #DataVisualization #RProgramming #DeepLearning #CommandLine #HandsOnLearning #Statistics #Bayesian #Kafka #MachineLearning #AI #Programming #FreeBooks

https://t.iss.one/CodeProgrammer
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Free Certification Courses to Learn Data Analytics in 2025:

1. Python
🔗 https://imp.i384100.net/5gmXXo

2. SQL
🔗 https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql

3. Statistics and R
🔗 https://edx.org/learn/r-programming/harvard-university-statistics-and-r

4. Data Science: R Basics
🔗https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

5. Excel and PowerBI
🔗 https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
🔗https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

7. Data Science: Machine Learning
🔗https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

8. R
🔗https://imp.i384100.net/rQqomy

9. Tableau
🔗https://imp.i384100.net/MmW9b3

10. PowerBI
🔗 https://lnkd.in/dpmnthEA

11. Data Science: Productivity Tools
🔗 https://lnkd.in/dGhPYg6N

12. Data Science: Probability
🔗https://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science

13. Mathematics
🔗https://matlabacademy.mathworks.com

14. Statistics
🔗 https://lnkd.in/df6qksMB

15. Data Visualization
🔗https://imp.i384100.net/k0X6vx

16. Machine Learning
🔗 https://imp.i384100.net/nLbkN9

17. Deep Learning
🔗 https://imp.i384100.net/R5aPOR

18. Data Science: Linear Regression
🔗https://pll.harvard.edu/course/data-science-linear-regression/2023-10

19. Data Science: Wrangling
🔗https://edx.org/learn/data-science/harvard-university-data-science-wrangling

20. Linear Algebra
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
🔗 https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
🔗https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

23. Data Science: Capstone
🔗 https://edx.org/learn/data-science/harvard-university-data-science-capstone

24. Data Analysis
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY

26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2

27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
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🌟 Unlock the Power of Automation with the Google IT Automation with Python Professional Certificate! 🚀

Are you ready to take your IT skills to the next level? This professional certificate, offered by Google, is designed to help beginners and IT professionals master the art of automation using Python. Whether you're managing systems, automating tasks, or troubleshooting complex issues, this course equips you with the tools and knowledge to excel in today's tech-driven world. 💻

### What You'll Learn:
Python Programming: Master the fundamentals of Python, one of the most versatile programming languages.
Automation Techniques: Automate repetitive tasks, manage system configurations, and streamline workflows.
IT Best Practices: Learn version control with Git, debugging, and problem-solving strategies.
Real-World Projects: Gain hands-on experience through practical projects that simulate real-world IT challenges.
Career-Ready Skills: Prepare for in-demand roles like IT Support Specialist, Systems Administrator, and Automation Engineer.

This program is hosted on Coursera and consists of multiple modules, making it beginner-friendly yet comprehensive enough for experienced learners. By the end of the course, you'll have a Professional Certificate from Google, a credential recognized by top employers worldwide. 🌍

🔗 Enroll Now: https://www.coursera.org/professional-certificates/google-it-automation

### Why Choose This Course?
- Industry-Recognized Certification: Boost your resume with a credential from Google.
- Flexible Learning: Study at your own pace with online access.
- Hands-On Experience: Apply what you learn through interactive labs and projects.
- Job Opportunities: Open doors to high-paying roles in IT and tech.

Don’t miss this chance to future-proof your career with automation skills that are in demand across industries! 🚀

---

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Django Features and Libraries - course

Exploring Django Features and Libraries
The "Django Features and Libraries" course is designed to help learners deepen their understanding of Django by exploring its advanced features and built-in libraries. Django is a high-level Python web framework that promotes rapid development and clean, pragmatic design. This course provides hands-on experience in leveraging Django’s powerful tools to build scalable, efficient, and secure web applications.

Enroll Free: https://www.coursera.org/learn/django-features-libraries

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience #django

https://t.iss.one/DataScience4
👍6
Data Management With Python, SQLite, and SQLAlchemy

In this tutorial, you’ll learn how to use:

1⃣ Flat files for data storage
🔢 SQL to improve access to persistent data
🔢 SQLite for data storage
🔢 SQLAlchemy to work with data as Python objects

Enroll Free: https://realpython.com/python-sqlite-sqlalchemy/

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience #django #SQLAlchemy #SQLite #SQL

https://t.iss.one/DataScience4
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👍8
A Complete Course to Learn Robotics and Perception

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

github.com/gtbook/robotics

roboticsbook.org/intro.html

#Robotics #Perception #AI #DeepLearning #ComputerVision #RoboticsCourse #MachineLearning #Education #RoboticsResearch #GitHub


⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
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Preparing for Data Science Interviews With LeetCode FAQs.pdf
1023.2 KB
🔖 Preparing for Data Science Interviews
📝 With LeetCode FAQs

👨🏻‍💻 If you're aiming for top tech companies like Google or Amazon, it's natural to feel overwhelmed and unsure where to begin. I’ve been there too—facing tons of questions without a clear roadmap of what to study or when.

✏️ That’s why I decided to create a step-by-step plan for myself. In this guide, I’ve compiled the most frequently asked LeetCode questions, complete with solutions, techniques, and patterns to help you master the kinds of problems that big companies love to ask.

Whether you're just starting out or sharpening your interview skills, this resource is designed to give you clarity, focus, and confidence.

📂 Stay tuned — I’ll be sharing the full file soon!

#DataScience #InterviewPrep #LeetCode #CodingInterview #TechInterviews #GoogleInterview #AmazonInterview #Python #MachineLearning #AI #CareerTips


✉️ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Part 3: Enterprise Web Scraping – Building Scalable, Compliant, and Future-Proof Data Extraction Systems

Duration: ~60 minutes

Link A: https://hackmd.io/@husseinsheikho/WS-3A

Link B (Rest): https://hackmd.io/@husseinsheikho/WS-3B

#EnterpriseScraping #DataEngineering #ScrapyCluster #MachineLearning #RealTimeData #Compliance #WebScraping #BigData #CloudScraping #DataMonetization

✉️ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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4
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automation—master this to create viral tools and ace full-stack interviews! 🤖

# Basic Bot Setup - The foundation (PTB v20+ Async)
from telegram.ext import Application, CommandHandler, MessageHandler, filters

async def start(update, context):
await update.message.reply_text(
" AI Image Bot Active!\n"
"/generate - Create images from text\n"
"/enhance - Improve photo quality\n"
"/help - Full command list"
)

app = Application.builder().token("YOUR_BOT_TOKEN").build()
app.add_handler(CommandHandler("start", start))
app.run_polling()


# Image Generation - DALL-E Integration (OpenAI)
import openai
from telegram.ext import ContextTypes

openai.api_key = os.getenv("OPENAI_API_KEY")

async def generate(update: Update, context: ContextTypes.DEFAULT_TYPE):
if not context.args:
await update.message.reply_text(" Usage: /generate cute robot astronaut")
return

prompt = " ".join(context.args)
try:
response = openai.Image.create(
prompt=prompt,
n=1,
size="1024x1024"
)
await update.message.reply_photo(
photo=response['data'][0]['url'],
caption=f"🎨 Generated: *{prompt}*",
parse_mode="Markdown"
)
except Exception as e:
await update.message.reply_text(f"🔥 Error: {str(e)}")

app.add_handler(CommandHandler("generate", generate))


Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots

#Python #TelegramBot #AI #ImageGeneration #StableDiffusion #OpenAI #MachineLearning #CodingInterview #FullStack #Chatbots #DeepLearning #ComputerVision #Programming #TechJobs #DeveloperTips #CareerGrowth #CloudComputing #Docker #APIs #Python3 #Productivity #TechTips


https://t.iss.one/DataScienceM 🦾
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