متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Artificial Intelligence & ChatGPT Prompts
الذهاب إلى القناة على Telegram
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Artificial Intelligence & ChatGPT Prompts
تُعد قناة Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 42 133 مشتركاً، محتلاً المرتبة 3 216 في فئة التكنولوجيات والتطبيقات والمرتبة 9 415 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 42 133 مشتركاً.
بحسب آخر البيانات بتاريخ 19 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 187، وفي آخر 24 ساعة بمقدار 2، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.08%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.62% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 877 مشاهدة. وخلال اليوم الأول يجمع عادةً 261 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, algorithm, detection, llm, pattern.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“🔓Unlock Your Coding Potential with ChatGPT
🚀 Your Ultimate Guide to Ace Coding Interviews!
💻 Coding tips, practice questions, and expert advice to land your dream tech job.
For Promotions: @love_data”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 20 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
42 133
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أرشيف المشاركات
💥 All Company Placement Materials 💥
🔗 Google Drive Download link :
https://drive.google.com/open?id=1oLvYU3uj23fumRNF9IL8yIE4vYIVvvSz
List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
Data analysis with Python Important Topics
👇👇
https://t.me/pythonanalyst/2
Complete Ethical Hacking Bootcamp
👇👇
https://t.me/ethicalhackingtoday/4
Machine Learning and Data Science
Prateek Agrawal, 2022
Applied Machine Learning Explainability Techniques
Aditya Bhattacharya, 2022
Practical Deep Reinforcement Learning with Python
Ivan Gridin, 2022
Python Game Programming By Example
#Python #Games
@computer_books
Designing Machine Learning Systems with Python
📚 book
10 AI tools that can save you hours:
1. http://Durable.co → AI website builder
2. http://Consensus.app → AI academic research
3. http://Rytr.me → Personal AI copywriter
4. http://Bardeen.ai → Automating tasks with AI
5. http://Taskade.com → Brain powered by AI
6. http://Quillbot.com → Reformulate your texts
7. http://Leonardo.ai → Generate realistic photos
8. http://Otter.ai → AI takes notes for you
9. http://Boomy.com → Create music in seconds
10. http://Clipdrop.co → Personal AI copywriter
Try them, they’re awesome!
Introduction to Statistical and Machine Learning Methods for Data Science
Carlos A. Reis Pinheiro, 2021
Python Data Structures
Oswald Campesato, 2023
👇👇
https://t.me/programming_guide/550?single
What is ChatGPT?
ChatGPT is a chatbot developed by OpenAI that uses a large language model called GPT (Generative Pre-training Transformer) to generate responses to user input. ChatGPT is designed to engage in conversation with users in a natural and human-like manner, and it can answer questions and provide information on a wide range of topics.
To use ChatGPT, users can type a message or question into a chat interface and ChatGPT will generate a response based on the information it has been trained on. ChatGPT is designed to understand the context and meaning of the words it generates, and it can engage in conversations that may involve multiple turns and branches.
While ChatGPT is a powerful tool for generating human-like text, it does have certain limitations. It is limited by the knowledge and information that it has been trained on, and it does not have access to current events or new information that has been published since its training data was collected. Additionally, ChatGPT is not able to browse the internet or access other sources of information, so it is limited to the knowledge that it has been trained on.
Programming, includes a more complex arrangement of processes of which coding is only one.
10 DevOps Cheatsheets ✅
📍 Python - http://quickref.me/python
📍 Git - http://cheatography.com/itsellej/cheat-sheets/git-commands
📍 Bash - http://devhints.io/bash
📍 Vim - http://vim.rtorr.com
📍 Linux - http://cheatography.com/davechild/cheat-sheets/linux-command-line
📍 Docker - http://dockerlabs.collabnix.com/docker/cheatsheet
📍 Kubernetes - https://github.com/rohitg00/DevOps_Books/blob/main/Kubernetes%20Cheat%20Sheet.pdf
📍 Terraform - https://github.com/rohitg00/DevOps_Books/blob/main/1622257225661.pdf
📍 AWS - https://twitter.com/ghumare64/status/1637062750533828609?t=AOMqCFLGC3rN4J5AUujh-A&s=19
📍 DevOps - http://DevOpsCommunity.in
Full Stack Django and React by Kolawole Mangabo (2023).pdf9.51 MB
