Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Artificial Intelligence & ChatGPT Prompts
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🔓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
Ko'proq ko'rsatish📈 Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi
Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 133 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 216-o'rinni va Hindiston mintaqasida 9 415-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 42 133 obunachiga ega bo‘ldi.
19 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 187 ga, so‘nggi 24 soatda esa 2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.08% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.62% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 877 marta ko‘riladi; birinchi sutkada odatda 261 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“🔓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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 20 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
42 133
Obunachilar
+224 soatlar
+207 kunlar
+18730 kunlar
Postlar arxiv
💥 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
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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
