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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

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网络:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert 印度6 172 技术与应用2 361...

📈 Telegram 频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books 的分析概览

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 55 824 名订阅者。

根据 25 十月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -204，过去 24 小时变化为 -1，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 2.21%。内容发布后 24 小时内通常能获得 0.59% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 234 次浏览，首日通常累积 328 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 2。
主题关注点： 内容集中在 algorithm, structure, stack, javascript, programming 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

凭借高频更新（最新数据采集于 26 十月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

55 824

订阅者

-124 小时

-927 天

-20430 天

1 234

帖子浏览量

~ 32824 小时

~ 46548 小时

2.21%

参与率

无数据

每日帖子数

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beta

正在加载数据

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日期	订阅者增长	提及	频道
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频道帖子

🚀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👇:- https://pdlink.in/4jDfcCP ⚡ 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 Eligibility :- Students • Freshers • Working Professionals 📅 Date:- 23 October 2026 ⏰ Time:- 7:00 PM–9:00 PM IST 💻 Mode:- Online 🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :- https://pdlink.in/4i8MKGn 📢 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 ✅ Beginner-Friendly Tutorials ✅ Self-Paced Learning ✅ Practical Skills for Real-World Projects ✅ Useful for Data Analytics & Data Science Career Preparation 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:- https://pdlink.in/4k6ylNq ⚡ 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 ✅ No Traditional Interview Process 🔗 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! 🎯 💻 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 👉 https://pdlink.in/3SuUeuD 📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 👉 https://pdlink.in/45vk5ph 💫𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 👉 https://pdlink.in/4fWJVID 🔥 Choose your path, sharpen your skills, and take the next step towards your tech career! 📌 Save this post & share it with a friend planning to upskill.	1 265
14	🇮🇳 𝗚𝗢𝗩𝗘𝗥𝗡𝗠𝗘𝗡𝗧 𝗢𝗙 𝗜𝗡𝗗𝗜𝗔 — 𝗔𝗜𝗖𝗧𝗘 𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲 🚀 Students and freshers can explore internship opportunities through the AICTE Internship Portal across multiple domains: 💻 AI, Data Science & Web Development 📈 Digital Marketing & Business Development 💰 Finance & Accounting ✍️ Content Writing & Graphic Design ⚙️ Mechanical, Civil & Electrical Engineering 🔗 𝗖𝗵𝗲𝗰𝗸 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗔𝗽𝗽𝗹𝘆 👇 https://pdlink.in/4y3vcBl 📢 Share this opportunity with your friends and classmates!	1 524
15	🎓 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀! 🚀🔥 Upgrade your resume with Microsoft learning opportunities. Explore courses covering some of today's most in-demand tech skills! 🎯 Perfect for Students • Freshers • Job Seekers • Working Professionals ✅ Learn at your own pace ✅ Build career-relevant skills ✅ Explore available certificates and credentials 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗛𝗲𝗿𝗲 👇 https://pdlink.in/3Uf5trR 🔥 Share with friends looking to upskill in 2026!	1 579
16	🚀𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 \| 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗪𝗜𝘁𝗵 𝗚𝗲𝗻𝗔𝗜 Start a high-paying tech career—even without prior coding experience 🏆 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 💰 ₹41 LPA highest salary 📈 ₹7.4 LPA average salary 🎓 2,000+ students placed 🏢 500+ hiring partners ✅ 100% job assistance 📜 Skill India–authenticated certificate 🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇:- https://pdlink.in/3SuUeuD 🎯 HurryUp.....Limited Seats Available	1 474
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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 ----- 1.31 ₽ · /balance_help	2 114
19	𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗔𝗜 𝗶𝗻 𝟮𝟬𝟮𝟲🚀 Explore 6 free resources covering AI fundamentals, tools, deep learning, research and real-world applications. ✅ 100% Free Learning ✅ Beginner-Friendly ✅ AI • ML • Deep Learning ✅ Real-World Applications 🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇 https://pdlink.in/4AFHq5R 📢 Share this valuable opportunity with your friends and classmates!	1 579
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

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