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

Network:Data Analytics India9 415 Technologies & Applications3 216...

📈 Analytical overview of Telegram channel Artificial Intelligence & ChatGPT Prompts

Channel Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) in the English language segment is an active participant. Currently, the community unites 42 133 subscribers, ranking 3 216 in the Technologies & Applications category and 9 415 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 42 133 subscribers.

According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 187 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.08%. Within the first 24 hours after publication, content typically collects 0.62% reactions from the total number of subscribers.
Post reach: On average, each post receives 877 views. Within the first day, a publication typically gains 261 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
Thematic interests: Content is focused on key topics such as learning, algorithm, detection, llm, pattern.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔓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”

Thanks to the high frequency of updates (latest data received on 20 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 Technologies & Applications category.

42 133

Subscribers

+224 hours

+207 days

+18730 days

877

Post views

~ 26124 hours

~ 35248 hours

2.08%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

42 133

💥 All Company Placement Materials 💥 🔗 Google Drive Download link : https://drive.google.com/open?id=1oLvYU3uj23fumRNF9IL8yIE4vYIVvvSz

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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?

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Data analysis with Python Important Topics 👇👇 https://t.me/pythonanalyst/2

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Complete Ethical Hacking Bootcamp 👇👇 https://t.me/ethicalhackingtoday/4

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Machine Learning and Data Science Prateek Agrawal, 2022

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Applied Machine Learning Explainability Techniques Aditya Bhattacharya, 2022

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Practical Deep Reinforcement Learning with Python Ivan Gridin, 2022

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Android Programming Kristin Marsicano, 2022

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Python Game Programming By Example #Python #Games @computer_books

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Designing Machine Learning Systems with Python 📚 book

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Get.Programming.with.Scala.pdf7.49 MB

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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!

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Introduction to Statistical and Machine Learning Methods for Data Science Carlos A. Reis Pinheiro, 2021

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The journey of Data Scientist

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Python Data Structures Oswald Campesato, 2023 👇👇 https://t.me/programming_guide/550?single

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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.

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Programming, includes a more complex arrangement of processes of which coding is only one.

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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

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𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗧𝗲𝗿𝗺𝗶𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀

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Full Stack Django and React by Kolawole Mangabo (2023).pdf9.51 MB