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

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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تُعد قناة Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 56 109 مشتركاً، محتلاً المرتبة 2 288 في فئة التكنولوجيات والتطبيقات والمرتبة 6 119 في منطقة الهند.

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منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 56 109 مشتركاً.

بحسب آخر البيانات بتاريخ 28 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -81، وفي آخر 24 ساعة بمقدار 1، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.81‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.71‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 1 013 مشاهدة. وخلال اليوم الأول يجمع عادةً 400 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل algorithm, structure, stack, javascript, programming.

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

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 29 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁𝘀, 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗘𝘅𝗮𝗺𝘀, 𝗼𝗿 𝗧𝗲𝗰𝗵 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀?😍 💼 W
𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁𝘀, 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗘𝘅𝗮𝗺𝘀, 𝗼𝗿 𝗧𝗲𝗰𝗵 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀?😍 💼 Whether you’re a final-year student, a job seeker, or a professional brushing up before your next big opportunity — this 100% FREE platform is your go-to resource✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3IcBESu 🔥Pro Tip:- Make it a habit to solve 10–20 questions daily — and you’ll start noticing patterns, improving speed, & gaining confidence💪✅️

𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 | 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄😍 - Infosys - Genpact - IBM - Virtusa - S&P Global
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How to get started with data science Many people who get interested in learning data science don't really know what it's all about. They start coding just for the sake of it and on first challenge or problem they can't solve, they quit. Just like other disciplines in tech, data science is challenging and requires a level of critical thinking and problem solving attitude. If you're among people who want to get started with data science but don't know how - I have something amazing for you! I created Best Data Science & Machine Learning Resources that will help you organize your career in data. Happy learning 😄😄

𝟭𝟱-𝗗𝗮𝘆 𝗣𝘆𝘁𝗵𝗼𝗻 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀!😍 Want to master Python but don’t know where to
𝟭𝟱-𝗗𝗮𝘆 𝗣𝘆𝘁𝗵𝗼𝗻 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀!😍 Want to master Python but don’t know where to start? 🤔 Here’s a structured 15-day roadmap with handpicked FREE resources to help you learn Python from scratch!👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Xrs6rr ✨️Bonus: Includes FREE tutorials, YouTube playlists, and coding exercises!✅️

If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 months… Here’s exactly how I’d approach it (I’ve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs): ► Step 1: Learn to Code (from scratch, even if you’re from non-CS background) I helped my sister go from zero coding knowledge (she studied Biology and Electrical Engineering) to landing a job at Microsoft. We started with: - A simple programming language (C++, Java, Python — pick one) - FreeCodeCamp on YouTube for beginner-friendly lectures - Key rule: Don’t just watch. Code along with the video line by line. Time required: 30–40 days to get good with loops, conditions, syntax. ► Step 2: Start with DSA before jumping to development Why? - 90% of tech interviews in top companies focus on Data Structures & Algorithms - You’ll need time to master it, so start early. Start with: - Arrays → Linked List → Stacks → Queues - You can follow the DSA videos on my channel. - Practice while learning is a must. ► Step 3: Follow a smart topic order Once you’re done with basics, follow this path: 1. Searching & Sorting 2. Recursion & Backtracking 3. Greedy 4. Sliding Window & Two Pointers 5. Trees & Graphs 6. Dynamic Programming 7. Tries, Heaps, and Union Find Make revision notes as you go — note down how you solved each question, what tricks worked, and how you optimized it. ► Step 4: Start giving contests (don’t wait till you’re “ready”) Most students wait to “finish DSA” before attempting contests. That’s a huge mistake. Contests teach you: - Time management under pressure - Handling edge cases - Thinking fast Platforms: LeetCode Weekly/ Biweekly, Codeforces, AtCoder, etc. And after every contest, do upsolving — solve the questions you couldn’t during the contest. ► Step 5: Revise smart Create a “Revision Sheet” with 100 key problems you’ve solved and want to reattempt. Every 2-3 weeks, pick problems randomly and solve again without seeing solutions. This trains your recall + improves your clarity. Coding Projects:👇 https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502 ENJOY LEARNING 👍👍

𝗛𝗶𝗴𝗵𝗹𝘆 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 - 𝗘𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Industry-ap
𝗛𝗶𝗴𝗵𝗹𝘆 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 - 𝗘𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍  Industry-approved Certifications to enhance employability 𝗔𝗜 & 𝗠𝗟 :- https://pdlink.in/4nwV054 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :-https://pdlink.in/4l3nFx0 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4lteAgN 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 :- https://pdlink.in/3ZLHHmW 𝗢𝘁𝗵𝗲𝗿 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 :-https://pdlink.in/3G5G9O4 𝗠𝗼𝗰𝗸 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁:- https://pdlink.in/4kan6A9 Get the Govt. of India Incentives on course completion🎓

10 Steps to Landing a High Paying Job in Data Analytics 1. Learn SQL - joins & windowing functions is most important 2. Learn Excel- pivoting, lookup, vba, macros is must 3. Learn Dashboarding on POWER BI/ Tableau 4. ⁠Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries 5. ⁠Know basics of descriptive statistics 6. ⁠With AI/ copilot integrated in every tool, know how to use it and add to your projects 7. ⁠Have hands on any 1 cloud platform- AZURE/AWS/GCP 8. ⁠WORK on atleast 2 end to end projects and create a portfolio of it 9. ⁠Prepare an ATS friendly resume & start applying 10. ⁠Attend interviews (you might fail in first 2-3 interviews thats fine),make a list of questions you could not answer & prepare those. Give more interview to boost your chances through consistent practice & feedback 😄👍

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⌨️ MongoDB Cheat Sheet MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise vo
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⌨️ MongoDB Cheat Sheet
MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise volume without compromising search performance.
This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB. Working with databases Working with rows Working with Documents Querying data from documents Modifying data in documents Searching

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As a fresher, gaining experience in a broad area like web development or mobile app development can be beneficial for programmers. These fields often have diverse opportunities and demand for entry-level positions. Additionally, exploring fundamental concepts like data structures, algorithms, and version control is crucial. As you gain experience, you can then specialize based on your interests and the industry's evolving demands.

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 & 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀
𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 & 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Harward :- https://pdlink.in/4kmYOn1 MIT :- https://pdlink.in/45cvR95 HP :- https://pdlink.in/45ci02k Google :- https://pdlink.in/3YsujTV Microsoft :- https://pdlink.in/441GCKF Standford :- https://pdlink.in/3ThPwNw IIM :- https://pdlink.in/4nfXDrV Enroll for FREE & Get Certified 🎓

9 tips to understand APIs better: Learn how HTTP methods work (GET, POST, PUT, DELETE) Understand status codes (200, 404, 500) Explore APIs using Postman Read API documentation carefully Start with public APIs for practice Understand JSON structure and parsing Use headers for authentication (API keys, tokens) Practice making API calls in code (Python, JS, etc.) Handle errors and edge cases in responses Web Development Resources ⬇️ https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z React with emoji for more content like this

Let's understand Frontend Development in detail today: What is Frontend Development? Frontend development is the process of building the visual and interactive part of a website or web application—everything the user sees and interacts with in their browser. It focuses on user experience (UX), design implementation, and browser-side logic. 1. HTML, CSS, JavaScript – Core Web Technologies HTML (HyperText Markup Language): It structures the content. Think of it as the skeleton of a webpage—headings, paragraphs, images, links, buttons, etc. CSS (Cascading Style Sheets): It styles the webpage—colors, fonts, spacing, layouts, and responsiveness. JavaScript: It adds interactivity—form validations, modals, dropdowns, sliders, and more. 2. Flexbox & Grid – Modern CSS Layouts Flexbox: A one-dimensional layout system perfect for aligning items in rows or columns (like navigation bars or cards in a row). CSS Grid: A two-dimensional layout system best for more complex, grid-based designs like entire webpages or dashboards. 3. Responsive Design – Mobile-Friendly Websites Using media queries and fluid layouts, responsive design ensures your website looks and works great on all screen sizes—mobiles, tablets, and desktops. Tools: CSS Flexbox/Grid, relative units (%, em, rem), and frameworks like Bootstrap or Tailwind CSS. 4. JavaScript ES6+ – Modern JavaScript Features Modern JavaScript (from ECMAScript 6 onwards) introduced cleaner, more powerful ways to write code: Arrow functions: const add = (a, b) => a + b; Promises & Async/Await: For handling asynchronous operations like API calls smoothly. Destructuring, Spread/Rest Operators, Classes, Modules: Better syntax and code organization. 5. React, Vue, or Angular – Frontend Frameworks These frameworks/libraries make building dynamic, scalable web apps easier. React (by Meta): Component-based, fast, and widely adopted. Vue: Lightweight, beginner-friendly, reactive. Angular (by Google): Full-fledged framework with built-in features for large-scale apps. 6. APIs & Fetch/Axios – Connect Frontend with Backend Frontend apps often need data from external sources (like databases or other services). API (Application Programming Interface): A bridge between frontend and backend. Fetch API & Axios: JavaScript libraries used to send/receive data (GET, POST, etc.) from APIs. 7. State Management – Redux, Vuex, or Context API As web apps grow, managing data (state) between components becomes complex. State Management tools help control and share app data predictably. Redux (React): Centralized state container Vuex (Vue): Official state manager Context API (React): Lightweight alternative for passing data Frontend development is all about creating smooth, attractive, and interactive user interfaces. To excel, you must balance design sensibility with technical skills, and stay updated with modern tools and trends. Here you can find Frontend Development Resources: https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r ENJOY LEARNING👍👍

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗔𝗽𝗽𝗿𝗼𝘃𝗲𝗱 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 😍 Whether you’re interested in AI, Data Analytics, C
𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗔𝗽𝗽𝗿𝗼𝘃𝗲𝗱 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 😍 Whether you’re interested in AI, Data Analytics, Cybersecurity, or Cloud Computing, there’s something here for everyone. ✅ 100% Free Courses ✅ Govt. Incentives on Completion ✅ Self-paced Learning ✅ Certificates to Showcase on LinkedIn & Resume ✅ Mock Assessments to Test Your Skills 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/447coEk Enroll for FREE & Get Certified 🎓

Programming Languages & What They’re Really Good At Python 🐍 – Data analysis, automation, AI/ML Java ☕ – Android apps, enterprise software JavaScript ⚡ – Interactive websites, full-stack apps C++ ⚙️ – Game development, system-level software C# 🎮 – Unity games, Windows apps R 📊 – Statistical analysis, data visualization Go 🚀 – Fast APIs, cloud-native apps PHP 🐘 – WordPress, backend for websites Swift 🍎 – iOS/macOS apps Kotlin 📱 – Modern Android development

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Beginner’s Roadmap to Learn Data Structures & Algorithms 1. Foundations: Start with the basics of programming and mathematical concepts to build a strong foundation. 2. Data Structure: Dive into essential data structures like arrays, linked lists, stacks, and queues to organise and store data efficiently. 3. Searching & Sorting: Learn various search and sort techniques to optimise data retrieval and organisation. 4. Trees & Graphs: Understand the concepts of binary trees and graph representation to tackle complex hierarchical data. 5. Recursion: Grasp the principles of recursion and how to implement recursive algorithms for problem-solving. 6. Advanced Data Structures: Explore advanced structures like hashing, heaps, and hash maps to enhance data manipulation. 7. Algorithms: Master algorithms such as greedy, divide and conquer, and dynamic programming to solve intricate problems. 8. Advanced Topics: Delve into backtracking, string algorithms, and bit manipulation for a deeper understanding. 9. Problem Solving: Practice on coding platforms like LeetCode to sharpen your skills and solve real-world algorithmic challenges. 10. Projects & Portfolio: Build real-world projects and showcase your skills on GitHub to create an impressive portfolio. Best DSA RESOURCES: https://topmate.io/coding/886874 All the best 👍👍