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Coding Free Books | Python | AI

Coding Free Books | Python | AI

رفتن به کانال در Telegram

Best Channel for Programmers and Hackers All in one channel to learn 👇 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun

نمایش بیشتر

📈 تحلیل کانال تلگرام Coding Free Books | Python | AI

کانال Coding Free Books | Python | AI (@codingwithsagar) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 30 889 مشترک است و جایگاه 6 271 را در دسته آموزش و رتبه 13 864 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 30 889 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 13 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 222 و در ۲۴ ساعت گذشته برابر 28 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 3.03% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.86% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 935 بازدید دریافت می‌کند. در اولین روز معمولاً 266 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 3 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, link:-, css, algorithm, sql تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Best Channel for Programmers and Hackers All in one channel to learn 👇 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 14 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

30 889
مشترکین
+2824 ساعت
+327 روز
+22230 روز
آرشیو پست ها
Software Engineer Jobs 👇👇 https://t.me/internshiptojobs

🔰 10 Python Automation Project Ideas 🎯 File Organizer (sort files by type) 🎯 Bulk Image Resizer 🎯 Email Automation Tool 🎯 YouTube Video Downloader 🎯 PDF Merger/Splitter 🎯 Auto Rename Files 🎯 Instagram Bot (like/comment) 🎯 Weather Notification App 🎯 Currency Converter 🎯 Stock Price Tracker React ❤️ for more like this

🤡Most crypto channels just throw charts and hype at you. This one gives clear, real moves instead. Know what to buy, when to
🤡Most crypto channels just throw charts and hype at you. This one gives clear, real moves instead. Know what to buy, when to sell, and how to avoid costly mistakes. New to crypto or already trading? Get clear moves, not noise. 👉 Join now and trade smarter: https://t.me/+3xRw-RoEHhk0ZDJi

5 Handy Tips to master Data Science ⬇️ 1️⃣ Begin with introductory projects that cover the fundamental concepts of data science, such as data exploration, cleaning, and visualization. These projects will help you get familiar with common data science tools and libraries like Python (Pandas, NumPy, Matplotlib), R, SQL, and Excel 2️⃣ Look for publicly available datasets from sources like Kaggle, UCI Machine Learning Repository. Working with real-world data will expose you to the challenges of messy, incomplete, and heterogeneous data, which is common in practical scenarios. 3️⃣ Explore various data science techniques like regression, classification, clustering, and time series analysis. Apply these techniques to different datasets and domains to gain a broader understanding of their strengths, weaknesses, and appropriate use cases. 4️⃣ Work on projects that involve the entire data science lifecycle, from data collection and cleaning to model building, evaluation, and deployment. This will help you understand how different components of the data science process fit together. 5️⃣ Consistent practice is key to mastering any skill. Set aside dedicated time to work on data science projects, and gradually increase the complexity and scope of your projects as you gain more experience.

Coding is just like the language we use to talk to computers. It's not the skill itself, but rather how do I innovate? How do I build something interesting for my end users? In a recently leaked recording, AWS CEO told employees that most developers could stop coding once AI takes over, predicting this is likely to happen within 24 months. Instead of AI replacing developers or expecting a decline in this role, I believe he meant that responsibilities of software developers would be changed significantly by AI. Being a developer in 2025 may be different from what it was in 2020, Garman, the CEO added. Meanwhile, Amazon's AI assistant has saved the company $260M & 4,500 developer years of work by remarkably cutting down software upgrade times. Amazon CEO also confirmed that developers shipped 79% of AI-generated code reviews without changes. I guess with all the uncertainty, one thing is clear: Ability to quickly adjust and collaborate with AI will be important soft skills more than ever in the of AI.

𝟳 𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to land a ca
𝟳 𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to land a career in data analytics? 📊💥 It’s not about stacking degrees anymore—it’s about mastering in-demand skills that make you stand out in a competitive job market🧑‍💻📌 𝐋𝐢𝐧𝐤👇:- http://pdlink.in/3Uxh5TR Start small, practice every day, and add these skills to your portfolio✅️

AI & ML Project Ideas
+6
AI & ML Project Ideas

𝟒 𝐁𝐞𝐬𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 𝐭𝐨 𝐒𝐤𝐲𝐫𝐨𝐜𝐤𝐞𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫😍 In today’s data-driv
𝟒 𝐁𝐞𝐬𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 𝐭𝐨 𝐒𝐤𝐲𝐫𝐨𝐜𝐤𝐞𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫😍 In today’s data-driven world, Power BI has become one of the most in-demand tools for businesses〽️📊 The best part? You don’t need to spend a fortune—there are free and affordable courses available online to get you started.💥🧑‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4mDvgDj Start learning today and position yourself for success in 2025!✅️

‼️ USEFUL SITES TO MAKE YOUR WORK EASIER ‼️ 1. Media.io – Online Free File Converter, Editor, Compressor 2. https://alternativeto.net/ - Lacks of softwares 3. https://geektyper.com/mobile/ - Pretend to be a hacker 4. http://Leetcode.com/ - Practice your coding skills 5. https://www.privacytools.io/ - Amazing site for privacy tools 6. http://Rainymood.com/ - Amazing site for Rainy & Thunderstorm sounds (to listen while sleeping) 🔔Unmute Notification & Share Channel For More Content ✅

𝐋𝐞𝐚𝐫𝐧 𝟔 𝐇𝐢𝐠𝐡-𝐈𝐧𝐜𝐨𝐦𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄 𝐰𝐢𝐭𝐡 𝐓𝐡𝐞𝐬𝐞 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥𝐬!😍 Want
𝐋𝐞𝐚𝐫𝐧 𝟔 𝐇𝐢𝐠𝐡-𝐈𝐧𝐜𝐨𝐦𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄 𝐰𝐢𝐭𝐡 𝐓𝐡𝐞𝐬𝐞 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥𝐬!😍 Want to future-proof your career? The best way to stay ahead is by mastering in-demand tech skills—and the best part? You don’t need to spend a dime!📊〽️ Here are 6 top YouTube channels that offer high-quality, expert-led courses in Graphic Design, DevOps, Data Science, Java, UI/UX, and more!🧑‍🎓✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3XcIsnK No more excuses—just pure learning and career growth!✅️

⌨️ Master the CSS Grid
+7
⌨️ Master the CSS Grid

CSS Breakpoints For Web Developers
CSS Breakpoints For Web Developers

𝐄𝐚𝐫𝐧 𝐅𝐑𝐄𝐄 𝐎𝐫𝐚𝐜𝐥𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 — 𝐂𝐥𝐨𝐮𝐝, 𝐀𝐈 & 𝐃𝐚𝐭𝐚!😍 Oracle’s Race to C
𝐄𝐚𝐫𝐧 𝐅𝐑𝐄𝐄 𝐎𝐫𝐚𝐜𝐥𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 — 𝐂𝐥𝐨𝐮𝐝, 𝐀𝐈 & 𝐃𝐚𝐭𝐚!😍 Oracle’s Race to Certification is here — your chance to earn globally recognized certifications for FREE!💥 💡 Choose from in-demand certifications in: ☁️ Cloud 🤖 AI 📊 Data …and more! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4lx2tin ⚡But hurry — spots are limited, and the clock is ticking!✅️

🏟 Here is a complete roadmap to learn Data Structures and Algorithms (DSA) 🏟 1. Basics of Programming: Start by learning the basics of a programming language like Python, Java, or C++. Understand concepts like variables, loops, functions, and arrays. 2. Data Structures: Study fundamental data structures like arrays, linked lists, stacks, queues, trees, graphs, and hash tables. Understand the operations that can be performed on these data structures and their time complexities. 3. Algorithms: Learn common algorithms like searching, sorting, recursion, dynamic programming, greedy algorithms, and divide and conquer. Understand how these algorithms work and their time complexities. 4. Problem Solving: Practice solving coding problems on platforms like LeetCode, HackerRank, or Codeforces. Start with easy problems and gradually move to medium and hard problems. 5. Complexity Analysis: Learn how to analyze the time and space complexity of algorithms. Understand Big O notation and how to calculate the complexity of different algorithms. 6. Advanced Data Structures: Study advanced data structures like AVL trees, B-trees, tries, segment trees, and fenwick trees. Understand when and how to use these data structures in problem-solving. 7. Graph Algorithms: Learn graph traversal algorithms like BFS and DFS. Study algorithms like Dijkstra's algorithm, Bellman-Ford algorithm, and Floyd-Warshall algorithm for shortest path problems. 8. Dynamic Programming: Master dynamic programming techniques for solving complex problems efficiently. Practice solving dynamic programming problems to build your skills. 9. Practice and Review: Regularly practice coding problems and review your solutions. Analyze your mistakes and learn from them to improve your problem-solving skills. 10. Mock Interviews: Prepare for technical interviews by participating in mock interviews and solving interview-style coding problems. Practice explaining your thought process and reasoning behind your solutions. Best DSA RESOURCES: https://topmate.io/coding/886874 All the best 👍👍

𝟮𝟱+ 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 �
𝟮𝟱+ 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 𝗝𝗼𝗯 😍 Breaking into Data Analytics isn’t just about knowing the tools — it’s about answering the right questions with confidence🧑‍💻✨️ Whether you’re aiming for your first role or looking to level up your career, these real interview questions will test your skills📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3JumloI Don’t just learn — prepare smart✅️

Pro Serverless Data Handling with Microsoft Azure Benjamin Kettner, 2022

You don’t need to be a genius to profit from crypto. You just need clear info you can trust. 👉🏼 Follow here — and see how s
You don’t need to be a genius to profit from crypto. You just need clear info you can trust. 👉🏼 Follow here — and see how simple it can be: https://t.me/+Zo976LnS8LlkMzky

Essential SQL Topics for Data Analysts SQL for Data Analysts Free Resources -> https://t.me/sqlanalyst - Basic Queries: SELECT, FROM, WHERE clauses. - Sorting and Filtering: ORDER BY, GROUP BY, HAVING. - Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN. - Aggregation Functions: COUNT, SUM, AVG, MIN, MAX. - Subqueries: Embedding queries within queries. - Data Modification: INSERT, UPDATE, DELETE. - Indexes: Optimizing query performance. - Normalization: Ensuring efficient database design. - Views: Creating virtual tables for simplified queries. - Understanding Database Relationships: One-to-One, One-to-Many, Many-to-Many. Window functions are also important for data analysts. They allow for advanced data analysis and manipulation within specified subsets of data. Commonly used window functions include: - ROW_NUMBER(): Assigns a unique number to each row based on a specified order. - RANK() and DENSE_RANK(): Rank data based on a specified order, handling ties differently. - LAG() and LEAD(): Access data from preceding or following rows within a partition. - SUM(), AVG(), MIN(), MAX(): Aggregations over a defined window of rows. Here is an amazing resources to learn & practice SQL: https://bit.ly/3FxxKPz Share with credits: https://t.me/sqlspecialist Hope it helps :)

𝐒𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — 𝟏𝟎𝟎% 𝐅𝐫𝐞𝐞 & 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫-𝐅𝐫𝐢𝐞𝐧𝐝𝐥𝐲😍 Want
𝐒𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — 𝟏𝟎𝟎% 𝐅𝐫𝐞𝐞 & 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫-𝐅𝐫𝐢𝐞𝐧𝐝𝐥𝐲😍 Want to dive into data analytics but don’t know where to start?🧑‍💻✨️ These free Microsoft learning paths take you from analytics basics to creating dashboards, AI insights with Copilot, and end-to-end analytics with Microsoft Fabric.📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/47oQD6f No prior experience needed — just curiosity✅️

css_animation.pdf1.20 MB