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Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 55 824 подписчиков, занимая 2 361 место в категории Технологии и приложения и 6 172 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 55 824 подписчиков.
Согласно последним данным от 25 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -204, а за последние 24 часа — -1, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.21%. В первые 24 часа после публикации контент обычно набирает 0.59% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 234 просмотров. В течение первых суток публикация набирает 328 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как algorithm, structure, stack, javascript, programming.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 26 октября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
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Посты канала
🚀𝗠𝗔𝗦𝗧𝗘𝗥 𝗘𝗫𝗖𝗘𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲! 📊
Discover 4 FREE Websites to learn Microsoft Excel from beginner to advanced level! 🎓
🔥 FREE Learning Resources
🔥 Beginner to Advanced Tutorials
🔥 Practical Examples & Exercises
🔥 Learn Anytime, Anywhere
🔗 𝗟𝗶𝗻𝗸👇:-
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⚡ One powerful skill can open doors to multiple career opportunities!
| 2 | FREE Resources to Learn Artificial Intelligence 🔥
* Python – python.org/doc
* Math for AI – khanacademy.org/math/statistics‑probability
* Machine Learning – scikit‑learn.org/stable
* Deep Learning – pytorch.org/tutorials
* Generative AI – google.com/ai/learn‑ai‑skills
* NLP (Natural Language Processing) – huggingface.co/learn/nlp‑course
* Reinforcement Learning – openai.com/research
* AI Ethics – resourcelist.ai/ai‑ethics
* AI Research – paperswithcode.com
* AI Projects – kaggle.com/learn/ai
* AI Learning Hub – learn.microsoft.com/en‑us/ai
* GitHub AI List – github.com/mrsaeeddev/free‑ai‑resources
Double Tap ♥️ For More | 667 |
| 3 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 📊
Build a strong foundation in Data Science .Explore Machine Learning and Deep Learning
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📢 Share this opportunity with your friends and classmates. | 813 |
| 4 |  𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻
✅ 100% FREE Learning Resources
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✅ Self-Paced Learning
✅ Practical Skills for Real-World Projects
✅ Useful for Data Analytics & Data Science Career Preparation
🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:-
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⚡ Your Data Science journey can start today — completely FREE! | 738 |
| 5 | 💼 Career Roles Security Analyst, Penetration Tester, Security Engineer
🎮 PATH 6: Game Development
For those passionate about games.
🧠 Learn C#, Unity, Unreal Engine
🛠 Technologies Unity, Unreal Engine
💼 Career Roles Game Developer, Gameplay Programmer, Graphics Programmer
📈 How to Choose the Right Path
Ask yourself:
Do you enjoy building websites 👉 Choose Web Development
Do you enjoy data and analytics 👉 Choose Data Science & AI
Do you enjoy mobile apps 👉 Choose App Development
Do you enjoy servers and infrastructure 👉 Choose Cloud & DevOps
Do you enjoy security and hacking 👉 Choose Cybersecurity
Do you enjoy games 👉 Choose Game Development
🔥 Most Beginner-Friendly Paths
1️⃣ Web Development
2️⃣ Data Analytics / Data Science
3️⃣ App Development
These paths have abundant learning resources, projects, and job opportunities.
⚠️ Common Mistakes
❌ Following trends blindly
❌ Switching paths every month
❌ Learning multiple domains simultaneously
❌ Avoiding projects
🚀 Final Advice
Your first path does not have to be your last path.
Many professionals start as: Web Developer to AI Engineer, Data Analyst to Data Scientist, App Developer to Full Stack Developer
The important thing is to pick one path and commit to it.
Focus > Consistency > Projects > Experience > Success
👉 Double Tap ❤️ For More | 897 |
| 6 | 🚀 How to Choose Your Development Path 👨💻🔥
Programming is a huge field.
Trying to learn everything at once leads to confusion and burnout.
Instead, choose one path, master it, build projects, and become an expert.
🧠 Why Choosing a Path is Important
Many beginners make this mistake:
❌ Python today
❌ Web Development tomorrow
❌ AI next week
❌ Cybersecurity next month
Result: Learned many things, Mastered nothing
The better approach is:
• Choose One Path
• Learn Deeply
• Build Projects
• Get Experience
• Get Hired
🌐 PATH 1: Web Development
Web Developers build websites and web applications.
Everything you use online is built by web developers.
Examples: E-commerce Websites, Social Media Platforms, Banking Portals, Learning Platforms, Business Websites
🧠 What You'll Learn
Frontend Development Frontend is what users see.
Learn: HTML, CSS, JavaScript, React
Backend Development Backend handles business logic and databases.
Learn: Node.js, Express.js, Django
Databases Learn: MySQL, PostgreSQL, MongoDB
🛠 Technologies React, Node.js, Django, MongoDB
🚀 Example Projects Portfolio Website, Blog Application, E-commerce Website, Chat Application, Food Delivery Platform
💼 Career Roles Frontend Developer, Backend Developer, Full Stack Developer, Software Engineer
📊 PATH 2: Data Science & AI
If you love data, statistics, automation, and intelligent systems, this path is for you.
AI is transforming industries worldwide.
🧠 What You'll Learn
Data Analysis Learn: Excel, SQL, Python, Data Visualization
Machine Learning Learn: Regression, Classification, Clustering
Deep Learning Learn: Neural Networks, Computer Vision, NLP
🛠 Technologies Pandas, NumPy, Scikit-learn, TensorFlow
🚀 Example Projects Sales Dashboard, Recommendation System, Sentiment Analysis, AI Chatbot, Stock Prediction Model
💼 Career Roles Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer
📱 PATH 3: App Development
App Developers build mobile applications.
Examples: WhatsApp, Instagram, Uber, Paytm
🧠 What You'll Learn
Android Development Learn: Kotlin, Android Studio
Cross-Platform Development Learn: Flutter, React Native
APIs & Databases Learn: REST APIs, Firebase, MySQL
🛠 Technologies Flutter, React Native, Kotlin
🚀 Example Projects Expense Tracker App, Food Ordering App, Fitness Tracker, Chat App, E-learning App
💼 Career Roles Android Developer, iOS Developer, Mobile App Developer
☁️ PATH 4: Cloud & DevOps
Cloud and DevOps professionals manage deployment and infrastructure.
They ensure applications run smoothly at scale.
🧠 Learn Linux, Networking Basics, Docker, Kubernetes, AWS
🛠 Technologies Docker, AWS, Kubernetes
💼 Career Roles DevOps Engineer, Cloud Engineer, Site Reliability Engineer
🔐 PATH 5: Cybersecurity
Cybersecurity professionals protect systems from attacks.
With increasing cyber threats, demand is growing rapidly.
🧠 Learn Networking, Linux, Ethical Hacking, Penetration Testing, Security Tools
🛠 Technologies Kali Linux, Wireshark | 602 |
| 7 |  𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗜𝗖𝗥𝗢-𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲! 🎓
✅ 100% FREE Learning Experience
✅ Short Programs — Approximately 4–6 Hours
✅ Practical, Real-World Tasks
✅ Self-Paced & Online
✅ Certificate Opportunities for Your Resume & LinkedIn
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🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼-𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀👇:-
https://pdlink.in/4yWgaPn
⚡ Don't wait for your first job to start gaining practical experience! | 575 |
| 8 |  𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
✅ 100% FREE YouTube Learning
✅ Beginner-Friendly Programming Tutorials
✅ Learn Popular & In-Demand Tech Skills
✅ Study at Your Own Pace
✅ Build a Strong Foundation for Coding Interviews
🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇:-
https://pdlink.in/3WcuMvi
⚡ Your coding journey can start today—completely FREE! | 732 |
| 9 |  𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Explore IBM Cognitive Class and build in-demand tech skills without spending money on course fees!
📚 𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗘𝘅𝗽𝗹𝗼𝗿𝗲:-
💫 Artificial Intelligence & Machine Learning
🔥Python for Data Science
📊 Data Science Fundamentals
☁️ Cloud Computing & Big Data
🔗 𝗦𝘁𝗮𝗿𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗛𝗲𝗿𝗲 👇
https://pdlink.in/4zGswuX
📲 Save & Share with friends preparing for tech careers! 🔥 | 921 |
| 10 |  𝗗𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗔𝗜😍
Future Ready Data Science and AI Skills You Build
->Build Python, Machine Learning, and AI Skills
->Get Mentored by Industry Experts
->Practice with Mock Interviews
->Ace Your Placements & Land Dream Tech Job
🤝 500+ Partner Companies |🎓 2000+ Students Placed
🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :-
https://pdlink.in/47pezFz
📲 Save & Share with Friends Preparing for Data Science & AI Jobs! | 931 |
| 11 | SQL From Basic to Advanced level
Basic SQL is ONLY 7 commands:
- SELECT
- FROM
- WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.)
- ORDER BY
- Aggregate functions such as SUM, AVERAGE, COUNT etc.
- GROUP BY
- CREATE, INSERT, DELETE, etc.
You can do all this in just one morning.
Once you know these, take the next step and learn commands like:
- LEFT JOIN
- INNER JOIN
- LIKE
- IN
- CASE WHEN
- HAVING (undertstand how it's different from GROUP BY)
- UNION ALL
This should take another day.
Once both basic and intermediate are done, start learning more advanced SQL concepts such as:
- Subqueries (when to use subqueries vs CTE?)
- CTEs (WITH AS)
- Stored Procedures
- Triggers
- Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK)
These can be done in a couple of days.
Learning these concepts is NOT hard at all
- what takes time is practice and knowing what command to use when. How do you master that?
- First, create a basic SQL project
- Then, work on an intermediate SQL project (search online) -
Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc.
This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic.
Remember that practice is the key here. It will be more clear and perfect with the continous practice
Best telegram channel to learn SQL: https://t.me/sqlanalyst
Data Analyst Jobs👇
https://t.me/jobs_SQL
Join @free4unow_backup for more free resources.
Like this post if it helps 😄❤️
ENJOY LEARNING 👍👍 | 1 025 |
| 12 |  𝗧𝗢𝗣 𝗙𝗥𝗘𝗘 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝗧𝗢 𝗕𝗢𝗢𝗦𝗧 𝗬𝗢𝗨𝗥 𝗦𝗞𝗜𝗟𝗟𝗦 𝗜𝗡 𝟮𝟬𝟮𝟲!
Explore FREE online learning resources to develop in-demand skills and improve your career opportunities!
🎓 Why Explore These Courses?
✅ Learn valuable professional skills
✅ Improve your resume
✅ Build practical knowledge
✅ Learn at your own pace
𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗛𝗲𝗿𝗲👇
https://pdlink.in/3VBdt6V
💡 Learn New Skills → Build Confidence → Unlock Career Opportunities! | 1 189 |
| 13 |  🚀 𝗪𝗵𝗶𝗰𝗵 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹 𝗪𝗶𝗹𝗹 𝗬𝗼𝘂 𝗠𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟲?
Want to build apps, uncover insights, or create AI solutions? Explore certification courses that match your career goals! 🎯
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| 14 |  🇮🇳 𝗚𝗢𝗩𝗘𝗥𝗡𝗠𝗘𝗡𝗧 𝗢𝗙 𝗜𝗡𝗗𝗜𝗔 — 𝗔𝗜𝗖𝗧𝗘 𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲 🚀
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| 16 |  🚀𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 | 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗪𝗜𝘁𝗵 𝗚𝗲𝗻𝗔𝗜
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| 18 | 🧠 Core Programming Concepts You Should Know 💻🚀
These are the fundamental ideas behind all programming languages.
Understanding them properly builds strong logic and problem-solving skills.
Programming
Programming is the process of writing instructions that a computer can understand and execute. These instructions are written using programming languages like Python, JavaScript, Java, C++, etc.
The goal of programming is to:
• automate tasks
• process data
• build software applications
• control systems and devices
In simple terms, programming tells a computer what to do and how to do it.
Algorithm
An algorithm is a step-by-step method to solve a problem. It focuses on the logic behind solving a problem rather than the specific programming language.
Good algorithms should be:
• Correct → produce the right output
• Efficient → use minimal time and memory
• Clear → easy to understand
For example, searching for a number in a list or sorting data are common algorithm problems.
Flowchart
A flowchart is a diagram that visually represents the logic of a program. Instead of writing code directly, developers sometimes design the program flow using diagrams.
Common flowchart elements include:
• Start / End symbols
• Process blocks
• Decision blocks
• Arrows showing execution flow
Flowcharts help in planning program logic before coding.
Syntax
Syntax refers to the rules that define how code must be written in a programming language. Every programming language has its own syntax. If syntax rules are violated, the program will produce a syntax error and will not run.
Examples of syntax rules include:
• correct use of keywords
• proper structure of statements
• correct punctuation and formatting
Learning syntax is similar to learning the grammar of a language.
Compilation
Compilation is the process of converting human-readable source code into machine code before execution. This is done by a program called a compiler.
Languages that use compilation include:
• C
• C++
• Go
• Rust
Compiled programs usually run faster because the code is already translated into machine instructions.
Interpretation
Interpretation is the process of executing code line by line using an interpreter instead of converting it beforehand. The interpreter reads the code and executes each instruction immediately.
Languages that commonly use interpretation include:
• Python
• JavaScript
• Ruby
Interpreted languages are often easier for beginners because they allow quick testing and debugging.
⭐ Key Idea
Programming concepts like algorithms, syntax, compilation, and interpretation form the foundation of software development. Once these basics are clear, learning any programming language becomes much easier.
Double Tap ♥️ For More
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| 19 |  𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗔𝗜 𝗶𝗻 𝟮𝟬𝟮𝟲🚀
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| 20 | YOU SHOULD WRITE CODE ON PAPER 📜IF U R BEGINNER ... HERE IS WHY 🤔
If you're a beginner learning to code or learning a new programming language, I have seen many instructors suggest using VS Code because it’s full of features that make coding easier.
However, I would suggest not using VS Code or other editors with many features initially. Why? When I first started learning to code with HTML, I directly jumped to VS Code, which is mostly snippet-based. For example, when you press !, it gives you a prepared snippet of the metadata for your HTML document, so you don’t have to write it manually. But here’s the problem: I still can’t remember what those few lines were about, and I still can’t write or recall them.
So the overall point is that, at the beginning stages, it’s better to learn the hard way to make things easier in the future.
That’s why I would suggest two ways:
1. Write code on paper (hard paper)
If you have the time, I suggest writing code with a pen and paper. (Now, don’t ask about the output; this is just for small codes and practice to build your concepts.)
2. Use Vim, Nano, Mousepad, or any else
You can use Vim while learning a new programming language because it doesn’t offer suggestions or extensions to make your work easier. Nano and Mousepad are similar in that almost.
Trust me, you will not forget the concepts you have written down.
Once you're confident, have built a solid foundation, and want to work on bigger projects, then go ahead and use automation. Full-featured editors like VS Code are great for that.
Overall:
If you're starting out and want a simple, fast editor for small tasks, Nano or Vim can be great options.
If you're working on bigger projects and want all the modern features, VS Code is the way to go. It provides everything you need to code efficiently and also has a low barrier to entry for.
Just my opinion for beginner programmers. You might not agree, but this is based on my own learning.
Agree: ❤️
No: 👍 | 1 725 |
