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Coding Free Books | Python | AI

Coding Free Books | Python | AI

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Best Channel for Programmers and Hackers All in one channel to learn 👇 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun

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📈 Analytical overview of Telegram channel Coding Free Books | Python | AI

Channel Coding Free Books | Python | AI (@codingwithsagar) in the English language segment is an active participant. Currently, the community unites 30 868 subscribers, ranking 6 250 in the Education category and 13 508 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 30 868 subscribers.

According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 125 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.82%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 180 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • Thematic interests: Content is focused on key topics such as learning, link:-, css, algorithm, sql.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Best Channel for Programmers and Hackers All in one channel to learn 👇 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun

Thanks to the high frequency of updates (latest data received on 23 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

30 868
Subscribers
-524 hours
-177 days
+12530 days
Posts Archive
DataStructure Notes.pdf16.89 MB

Sometimes reality outpaces expectations in the most unexpected ways. While global AI development seems increasingly fragmente
Sometimes reality outpaces expectations in the most unexpected ways. While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included. ✅ No API paywalls. ✅ No usage restrictions. ✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs. What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers. GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments. GitHub | HuggingFace GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count. Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support. GitHub | Hugging Face Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation. GitHub | Hugging Face | Technical report Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech. GitHub | HuggingFace Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.

System Design Basics
System Design Basics

60 Generative AI Project Ideas
60 Generative AI Project Ideas

How to convert image to pdf in Python # Python3 program to convert image to pfd # using img2pdf library   # importing necessary libraries import img2pdf from PIL import Image import os   # storing image path img_path = "Input.png"   # storing pdf path pdf_path = "file_pdf.pdf"   # opening image image = Image.open(img_path)   # converting into chunks using img2pdf pdf_bytes = img2pdf.convert(image.filename)   # opening or creating pdf file file = open(pdf_path, "wb")   # writing pdf files with chunks file.write(pdf_bytes)   # closing image file image.close()   # closing pdf file file.close()   # output print("Successfully made pdf file") pip3 install pillow && pip3 install img2pdf

Tired of AI that refuses to help? @UnboundGPT_bot doesn't lecture. It just works. Multiple models (GPT-4o, Gemini, DeepSeek)  Image generation & editing  Video creation  Persistent memory  Actually uncensored Free to try → @UnboundGPT_bot or https://ko2bot.com

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Anthony_Molinaro,_Robert_de_Graaf_SQL_Cookbook_Query_Solutions_and.pdf12.43 MB

Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leadi
Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

Ultimate Python Cheatsheet 🔥.pdf2.35 MB

Python Interview Questions with Answers
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Python Interview Questions with Answers

🚀 Free Dev Resource Pack (PDF) Includes: 🐍 2 Python Cheatsheets 💻 OOP in C++ 🌐 HTML Input Types ☕ Java Q&A 📘 OOPs Q&A ❤️ React for more 🔗 #resources

C# Basics Notes! 🚀

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top array interview questions and Explanations 🚀 React ❤️ For More

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Coding for beginners for all 🔰 React ❤️ for more 🔗

OnSpace Mobile App builder: Idea → AppStore → Profit. 👉https://onspace.ai/?via=tg_cws With OnSpace, you can turn your idea into a real iOS or Android app in AppStore/PlayStore. What will you get: - Create app by chatting with AI - Real-time app demo. - Add payments and monetize like in-app-purchase and Stripe. - Functional login & signup. - Database + dashboard in minutes. - Preview, download, and publish to AppStore. - Full tutorial on YouTube and within 1 day customer service 🫵It’s your shortcut from concept to cash flow.

Common Programming Interview Questions How do you reverse a string? How do you determine if a string is a palindrome? How do you calculate the number of numerical digits in a string? How do you find the count for the occurrence of a particular character in a string? How do you find the non-matching characters in a string? How do you find out if the two given strings are anagrams? How do you calculate the number of vowels and consonants in a string? How do you total all of the matching integer elements in an array? How do you reverse an array? How do you find the maximum element in an array? How do you sort an array of integers in ascending order? How do you print a Fibonacci sequence using recursion? How do you calculate the sum of two integers? How do you find the average of numbers in a list? How do you check if an integer is even or odd? How do you find the middle element of a linked list? How do you remove a loop in a linked list? How do you merge two sorted linked lists? How do you implement binary search to find an element in a sorted array? How do you print a binary tree in vertical order? Conceptual Coding Interview Questions What is a data structure? What is an array? What is a linked list? What is the difference between an array and a linked list? What is LIFO? What is FIFO? What is a stack? What are binary trees? What are binary search trees? What is object-oriented programming? What is the purpose of a loop in programming? What is a conditional statement? What is debugging? What is recursion? What are the differences between linear and non-linear data structures? General Coding Interview Questions What programming languages do you have experience working with? Describe a time you faced a challenge in a project you were working on and how you overcame it. Walk me through a project you’re currently or have recently worked on. Give an example of a project you worked on where you had to learn a new programming language or technology. How did you go about learning it? How do you ensure your code is readable by other developers? What are your interests outside of programming? How do you keep your skills sharp and up to date? How do you collaborate on projects with non-technical team members? Tell me about a time when you had to explain a complex technical concept to a non-technical team member. How do you get started on a new coding project? Best Programming Resources: https://topmate.io/coding/898340 Join for more: https://t.me/programming_guide ENJOY LEARNING 👍👍

After the $19B market crash, most people ran away from crypto🏃‍♂️‍➡️ But this team stayed, analyzed everything, and caught t
After the $19B market crash, most people ran away from crypto🏃‍♂️‍➡️ But this team stayed, analyzed everything, and caught the rebound first. Now they’re sharing where smart money is moving next. 👉 If you want to make profits while others are still scared — follow https://t.me/+Z1-jo-k9QvM2YzU6

⌨️🖐⌨️ Frontend RoadMap In 180 Days
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⌨️🖐⌨️ Frontend RoadMap In 180 Days

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Everything you need to learn Python 🧠🐍 React for more ❤️