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āĻĻā§‹āĻ•āĻžāύ āϘ⧁āϰ⧇ āĻĻāĻžāĻŽ āϤ⧁āϞāύāĻž āĻ•āϰ⧁āύ — āĻĻ⧇āĻ–āĻŦ⧇āύ āφāĻŽāĻžāĻĻ⧇āϰ āĻĻāĻžāĻŽā§‡ āφāĻĒāύāĻŋ ⧍ā§Ļ-ā§Šā§Ļ% āϏ⧇āĻ­ āĻ•āϰāϛ⧇āύ,āĻ—ā§āϝāĻžāϰāĻžāĻ¨ā§āϟāĻŋ!

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New Book Center — Nilkhet Islamia Market, Shop 122 In today’s fast-changing world, knowledge is power – and books are the key to that power. We started NEW BOOK CENTER,NILKHET since 90s with a simple dream: to make high-quality books on programming, cybersecurity, networking, and language learning accessible to everyone in Bangladesh and beyond. Our journey began with a pas

sion for technology and education. Many students and professionals struggle to find the right resources to improve their coding skills, understand cybersecurity, or master networking concepts. Others want to learn new languages to explore global opportunities. That’s why we decided to build a platform where you can find all these essential books in one place. Here, you will discover: 📘 Programming books covering Python, Java, C++ – perfect for beginners and advanced learners. 🔐 Cybersecurity guides and ethical hacking resources – to stay safe in the digital world. 🌐 Networking books – to strengthen your IT and career foundation. đŸ—Ŗī¸ Language learning books like Japan,German,Korea,arabaic,ielts,spanish– to help you improve communication and succeed globally. We believe that learning should be simple, affordable, and effective. Our goal is not just to sell books, but to build a community of learners, coders, tech enthusiasts, and language explorers. Whether you are a student preparing for exams, a professional upgrading your skills, or someone simply curious about technology and languages – NEW BOOK CENTER is here to guide your learning journey. Join us today and unlock your future with the right knowledge! 🚀

03/06/2026

“Rust in Action” āĻŦāχāϟāĻž āĻĒ⧜āϤ⧇ āĻ—āĻŋā§Ÿā§‡ āĻĒā§āϰāĻĨāĻŽā§‡āχ āĻŦ⧁āĻā§‡āĻ›āĻŋ — Rust āĻļ⧁āϧ⧁ āĻāĻ•āϟāĻž language āύāĻž, āĻāϟāĻž āĻāĻ•āϟāĻž completely different way of thinking about memory & safety.

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ Ownership & borrowing concept āĻŦāĻžāĻ¸ā§āϤāĻŦ⧇ āϕ⧀āĻ­āĻžāĻŦ⧇ āĻ•āĻžāϜ āĻ•āϰ⧇
â€ĸ Memory safety without garbage collector
â€ĸ Systems programming mindset
â€ĸ Concurrency āĻāϰ basic intuition
â€ĸ Low-level performance oriented design

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦāĻŋāώ⧟ āĻšāϞ⧋ — āĻļ⧁āϰ⧁āϤ⧇ Rust āĻ…āύ⧇āĻ• strict āφāϰ confusing āϞāĻžāϗ⧇, āĻ•āĻŋāĻ¨ā§āϤ⧁ āĻāχ āĻŦāχāϟāĻž āϏ⧇āχ “why it is strict” āĻ…āĻ‚āĻļāϟāĻž āĻŦ⧁āĻāĻŋā§Ÿā§‡ āĻĻā§‡ā§ŸāĨ¤ āϤāĻžāχ rules āϗ⧁āϞ⧋ suddenly logical āĻŽāύ⧇ āĻšāϤ⧇ āĻļ⧁āϰ⧁ āĻ•āϰ⧇āĨ¤

āĻ…āύ⧇āĻ• programming āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ syntax āĻļ⧇āĻ–āĻžā§Ÿ, āĻāϟāĻž āϏ⧇āĻ–āĻžāύ⧇ systems level āϚāĻŋāĻ¨ā§āϤāĻž āĻ•āϰāϤ⧇ āĻŦāĻžāĻ§ā§āϝ āĻ•āϰ⧇ — āϤāĻžāχ mindset shift āĻšā§ŸāĨ¤

āϝāĻžāϰāĻž systems programming, backend performance, āĻŦāĻž low-level software āύāĻŋā§Ÿā§‡ āϏāĻŋāϰāĻŋ⧟āĻžāϏ — āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ Rust āĻŦ⧁āĻāϤ⧇ āĻāχ āĻŦāχāϟāĻž āϖ⧁āĻŦ strong foundation āĻĻāĻŋāϤ⧇ āĻĒāĻžāϰ⧇āĨ¤
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02/06/2026

“JavaScript: From Beginner to Professional” āĻŦāχāϟāĻž āĻĒ⧜āϤ⧇ āĻ—āĻŋā§Ÿā§‡ āĻŽāύ⧇ āĻšā§Ÿā§‡āϛ⧇ — āĻāϟāĻž āĻāĻ•āĻĻāĻŽ step-by-step āĻāĻ•āϟāĻž roadmap āϟāĻžāχāĻĒ āĻ—āĻžāχāĻĄāĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ JavaScript āĻāϰ core fundamentals
â€ĸ DOM manipulation & browser behavior
â€ĸ Functions, objects, arrays properly āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰāĻž
â€ĸ Asynchronous JS (basic idea)
â€ĸ Small projects āĻĻāĻŋā§Ÿā§‡ practice āĻ•āϰāĻžāϰ mindset

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦā§āϝāĻžāĻĒāĻžāϰ āĻšāϞ⧋ — āĻļ⧁āϰ⧁āϟāĻž āĻāĻ•āĻĻāĻŽ beginner-friendly, āϤāĻžāϰāĻĒāϰ āϧ⧀āϰ⧇ āϧ⧀āϰ⧇ professional level mindset āĻ āύāĻŋā§Ÿā§‡ āϝāĻžā§ŸāĨ¤ āϤāĻžāχ āĻŽāĻžāĻā§‡ āĻŽāĻžāĻā§‡ easy āϞāĻžāĻ—āϞ⧇āĻ“ āĻĒāϰ⧇ āĻ—āĻŋā§Ÿā§‡ depth āφāϏ⧇āĨ¤

āĻ…āĻ¨ā§āϝ āĻ…āύ⧇āĻ• JS āϰāĻŋāϏ⧋āĻ°ā§āϏ āϝ⧇āĻ–āĻžāύ⧇ random topic cover āĻ•āϰ⧇, āĻāϟāĻž āϏ⧇āĻ–āĻžāύ⧇ structured learning path follow āĻ•āϰ⧇ — āϤāĻžāχ āύāϤ⧁āύāĻĻ⧇āϰ āϜāĻ¨ā§āϝ flow āĻŦ⧁āĻāϤ⧇ āϏ⧁āĻŦāĻŋāϧāĻž āĻšā§ŸāĨ¤

āϝāĻžāϰāĻž web development āĻļ⧁āϰ⧁ āĻ•āϰāϛ⧇ āĻŦāĻž JavaScript āϕ⧇ solidāĻ­āĻžāĻŦ⧇ āĻļāĻŋāĻ–āϤ⧇ āϚāĻžā§Ÿ — āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ āĻāϟāĻž āĻ­āĻžāϞ⧋ āĻāĻ•āϟāĻž guided start

JavaScript from Beginner to Professional price in bd

01/06/2026

“C Programming: A Modern Approach (2nd Edition)” āĻŦāχāϟāĻž āĻĒ⧜āĻžāϰ āϏāĻŽā§Ÿ āϏāĻŦāĻšā§‡ā§Ÿā§‡ āĻŦ⧇āĻļāĻŋ āϝ⧇āϟāĻž āĻŦ⧁āĻā§‡āĻ›āĻŋ — C āĻļ⧁āϧ⧁ syntax āύāĻž, āĻāϟāĻž programming fundamentals build āĻ•āϰāĻžāϰ āĻāĻ•āϟāĻž āĻļāĻ•ā§āϤ base.

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ C language āĻāϰ core concepts (variables, loops, functions)
â€ĸ Pointers āĻāϰ āφāϏāϞ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ“ logic
â€ĸ Memory handling āĻāϰ basic understanding
â€ĸ Structured programming approach

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦā§āϝāĻžāĻĒāĻžāϰ āĻšāϞ⧋ — āϞ⧇āĻ–āĻ• āϧ⧀āϰ⧇ āϧ⧀āϰ⧇ concept build āĻ•āϰ⧇, āϤāĻžāχ āφāϗ⧇ confusing āϞāĻžāĻ—āϞ⧇āĻ“ āĻĒāϰ⧇ āϏāĻŦ connect āĻšā§Ÿā§‡ āϝāĻžā§ŸāĨ¤

āĻ…āύ⧇āĻ• C āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ syntax āĻŽā§āĻ–āĻ¸ā§āĻĨ āĻ•āϰāĻžā§Ÿ, āĻāϟāĻž āϏ⧇āĻ–āĻžāύ⧇ real understanding āϤ⧈āϰāĻŋ āĻ•āϰāϤ⧇ āϏāĻžāĻšāĻžāĻ¯ā§āϝ āĻ•āϰ⧇ — especially pointers āφāϰ memory āĻ…āĻ‚āĻļāϟāĻž āϖ⧁āĻŦ strongāĨ¤

āϝāĻžāϰāĻž programming āĻļ⧁āϰ⧁ āĻ•āϰāϛ⧇ āĻŦāĻž computer science āĻāϰ foundation strong āĻ•āϰāϤ⧇ āϚāĻžā§Ÿ — āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ āĻāϟāĻž āĻāĻ•āϟāĻž serious level āĻāϰ āĻŦāχāĨ¤
C Programming: A Modern Approach price in bd inbox

31/05/2026

“Head First Java (3rd Edition)” āĻšāĻžāϤ⧇ āύāĻŋā§Ÿā§‡ āĻĒā§āϰāĻĨāĻŽā§‡āχ āϝ⧇āϟāĻž āĻŽāύ⧇ āĻšā§Ÿā§‡āϛ⧇ — āĻāϟāĻž textbook āύāĻž, āϝ⧇āύ āϕ⧇āω āĻŦāϏ⧇ āĻŦāϏ⧇ Java āĻŦ⧁āĻāĻŋā§Ÿā§‡ āĻĻāĻŋāĻšā§āϛ⧇āĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āϝ⧇āϟāĻž āϏāĻŦāĻšā§‡ā§Ÿā§‡ āĻŦ⧇āĻļāĻŋ āĻļāĻŋāϖ⧇āĻ›āĻŋ:
â€ĸ Java āĻāϰ basic fundamentals (OOP clear āĻ•āϰ⧇ āĻĻā§‡ā§Ÿ)
â€ĸ Classes, objects, inheritance āϖ⧁āĻŦ āϏāĻšāϜāĻ­āĻžāĻŦ⧇
â€ĸ Memory & JVM āĻāϰ basic intuition
â€ĸ Real beginner confusion āϗ⧁āϞ⧋ solve āĻ•āϰāĻžāϰ approach

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦā§āϝāĻžāĻĒāĻžāϰ āĻšāϞ⧋ — āĻāϟāĻž āĻāĻ•āĻĻāĻŽ boring theory style āύāĻžāĨ¤ cartoons, diagrams āφāϰ weird examples āĻĻāĻŋā§Ÿā§‡ āĻāĻŽāύāĻ­āĻžāĻŦ⧇ explain āĻ•āϰ⧇ āϝ⧇ āĻŽāύ⧇ āĻšā§Ÿ “āĻāϟāĻž āĻŦ⧁āĻāϤ⧇ āĻāϤ āϏāĻšāϜ āϕ⧇āύ āφāϗ⧇ āϕ⧇āω āĻŦāϞ⧇āύāĻŋ?”

āĻ…āĻ¨ā§āϝ Java āĻŦāχāϗ⧁āϞ⧋āϰ āϤ⧁āϞāύāĻžā§Ÿ āĻāϟāĻž āĻ…āύ⧇āĻ• āĻŦ⧇āĻļāĻŋ beginner-friendly āĻāĻŦāĻ‚ memory-friendlyāĨ¤ āϕ⧇āω āϝāĻĻāĻŋ āĻĒā§āϰāĻĨāĻŽāĻŦāĻžāϰ programming āĻļ⧁āϰ⧁ āĻ•āϰ⧇ āĻŦāĻž Java āύāĻŋā§Ÿā§‡ confused āĻĨāĻžāϕ⧇ — āĻāϟāĻž honestly āϖ⧁āĻŦ āĻ­āĻžāϞ⧋ starting pointāĨ¤

āĻļ⧁āϰ⧁āϰ āĻĻāĻŋāϕ⧇ āĻāĻ•āϟ⧁ childish āϞāĻžāĻ—āϤ⧇ āĻĒāĻžāϰ⧇, āĻ•āĻŋāĻ¨ā§āϤ⧁ āϏ⧇āχ simplicity-āϟāĻžāχ āĻāχ āĻŦāĻ‡ā§Ÿā§‡āϰ āĻļāĻ•ā§āϤāĻŋāĨ¤
Headfirst java 3rd edition price in bd

30/05/2026

Deep learning with pytorch
āϏāĻ¤ā§āϝāĻŋ āĻŦāϞāϤ⧇ āĻļ⧁āϰ⧁āϤ⧇ āϭ⧇āĻŦ⧇āĻ›āĻŋāϞāĻžāĻŽ āφāϰ⧇āĻ•āϟāĻž heavy deep learning āĻŦāχ āĻšāĻŦ⧇, āĻ•āĻŋāĻ¨ā§āϤ⧁ “Deep Learning with PyTorch” āĻĒ⧜āϤ⧇ āĻ—āĻŋā§Ÿā§‡ āĻŦ⧁āĻāϞāĻžāĻŽ āĻāϟāĻž āĻ…āύ⧇āĻ• āĻŦ⧇āĻļāĻŋ hands-onāĨ¤

āϏāĻŦāĻšā§‡ā§Ÿā§‡ āĻ­āĻžāϞ⧋ āϞ⧇āϗ⧇āϛ⧇ āϝ⧇āϟāĻž — āĻāĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ concept āύāĻž, āφāϏāϞ⧇āχ model āĻŦāĻžāύāĻžāϤ⧇ āĻ—āĻŋā§Ÿā§‡ āĻļ⧇āĻ–āĻžā§ŸāĨ¤ āĻŽāĻžāĻā§‡ āĻŽāĻžāĻā§‡ āϕ⧋āĻĄ āϰāĻžāύ āύāĻž āĻšāϞ⧇ āύāĻŋāĻœā§‡ troubleshoot āĻ•āϰāϤ⧇ āĻ—āĻŋā§Ÿā§‡ āĻļ⧇āĻ–āĻžāϟāĻž āφāϰāĻ“ solid āĻšā§ŸāĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻŽā§‚āϞāϤ āϝāĻž āĻĒā§‡ā§Ÿā§‡āĻ›āĻŋ:
â€ĸ PyTorch āĻĻāĻŋā§Ÿā§‡ from scratch model building
â€ĸ Training loop āϕ⧀āĻ­āĻžāĻŦ⧇ āĻ•āĻžāϜ āĻ•āϰ⧇ āĻŦāĻžāĻ¸ā§āϤāĻŦ⧇
â€ĸ Data pipeline āφāϰ debugging mindset
â€ĸ āϛ⧋āϟ āϛ⧋āϟ experiment āĻ•āϰ⧇ āĻļ⧇āĻ–āĻžāϰ flow

Interesting āĻŦā§āϝāĻžāĻĒāĻžāϰ āĻšāϞ⧋ — āĻ…āύ⧇āĻ• āϜāĻžā§ŸāĻ—āĻžā§Ÿ āĻŽāύ⧇ āĻšā§Ÿā§‡āϛ⧇ “āĻāϟāĻž āύāĻž āϜāĻžāύāϞ⧇āĻ“ āϕ⧋āĻĄ āϚāϞāĻŦā§‡â€, āĻ•āĻŋāĻ¨ā§āϤ⧁ āĻĒāϰ⧇ āĻŦ⧁āĻā§‡āĻ›āĻŋ āĻāχ āϛ⧋āϟ āϜāĻŋāύāĻŋāϏāϗ⧁āϞ⧋āχ real understanding āĻŦāĻžāύāĻžā§ŸāĨ¤

DSA style memorization āύāĻž, āĻŦāϰāĻ‚ build āĻ•āϰāϤ⧇ āĻ•āϰāϤ⧇ āĻļ⧇āĻ–āĻžāϰ mindset āϝāĻžāĻĻ⧇āϰ āĻĒāĻ›āĻ¨ā§āĻĻ â€” āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ āĻāχ āĻŦāχāϟāĻž āĻŦ⧇āĻļāĻŋ fit āĻ•āϰāĻŦ⧇āĨ¤
Deep learning with pytorch price in bd inbox

29/05/2026

“Deep Learning with Python (2nd Edition)” āĻŦāχāϟāĻž AI āĻļ⧇āĻ–āĻžāϕ⧇ āĻ…āύ⧇āĻ• āĻŦ⧇āĻļāĻŋ practical āφāϰ clear āĻ•āϰ⧇ āĻĻāĻŋā§Ÿā§‡āϛ⧇āĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ Neural Networks āĻāϰ fundamentals
â€ĸ TensorFlow & Keras āĻĻāĻŋā§Ÿā§‡ model building
â€ĸ Computer Vision & NLP basics
â€ĸ Real-world deep learning workflows

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦāĻŋāώ⧟ āĻšāϞ⧋ — complex concepts āϗ⧁āϞ⧋āĻ“ āϖ⧁āĻŦ clean āφāϰ beginner-friendlyāĻ­āĻžāĻŦ⧇ explain āĻ•āϰ⧇āϛ⧇, āϤāĻžāχ learning process overwhelming āϞāĻžāϗ⧇ āύāĻžāĨ¤

āĻ…āĻ¨ā§āϝ āĻ…āύ⧇āĻ• Deep Learning āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ unnecessary theory-heavy, āĻāχ āĻŦāχāϟāĻž āϏ⧇āĻ–āĻžāύ⧇ coding + intuition āĻĻ⧁āĻŸā§‹āϰ balance āϖ⧁āĻŦ āĻ­āĻžāϞ⧋āĻ­āĻžāĻŦ⧇ āϰāĻžāϖ⧇āĨ¤

āϝāĻžāϰāĻž Python āϜāĻžāύ⧇ āφāϰ Deep Learning practically build āĻ•āϰāϤ⧇ āϚāĻžā§Ÿ — especially beginners & aspiring AI engineers — āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ āĻ…āϏāĻžāϧāĻžāϰāĻŖ āĻāĻ•āϟāĻž āĻŦāχāĨ¤
Deep Learning with Python (2nd Edition) price in bd

26/05/2026

“Understanding Deep Learning” āĻŦāχāϟāĻž āĻĒā§œā§‡ āĻŦ⧁āĻāϞāĻžāĻŽ — AI āĻļ⧁āϧ⧁ model train āĻ•āϰāĻž āύāĻž, āĻāϰ āĻĒāĻŋāĻ›āύ⧇āϰ logic āφāϰ intuition āĻŦ⧁āĻāĻžāϟāĻžāĻ“ equally importantāĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ Neural Network āϕ⧀āĻ­āĻžāĻŦ⧇ āĻ•āĻžāϜ āĻ•āϰ⧇
â€ĸ Deep Learning āĻāϰ mathematical intuition
â€ĸ Optimization & generalization concepts
â€ĸ Modern AI models āĻāϰ core ideas

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦāĻŋāώ⧟ āĻšāϞ⧋ — āĻ•āĻ āĻŋāύ topic āϗ⧁āϞ⧋āĻ“ āĻ…āύ⧇āĻ• visual āφāϰ intuitive way āϤ⧇ explain āĻ•āϰ⧇āϛ⧇, āϤāĻžāχ concepts genuinely āĻŦ⧁āĻāϤ⧇ āϏ⧁āĻŦāĻŋāϧāĻž āĻšā§ŸāĨ¤

āĻ…āĻ¨ā§āϝ āĻ…āύ⧇āĻ• AI āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ coding āĻŦāĻž heavy math āĻ focus āĻ•āϰ⧇, āĻāχ āĻŦāχāϟāĻž understanding-first approach follow āĻ•āϰ⧇ — āϤāĻžāχ learning āĻ…āύ⧇āĻ• deeper āϞāĻžāϗ⧇āĨ¤

āϝāĻžāϰāĻž Machine Learning / AI āύāĻŋā§Ÿā§‡ seriously concepts āĻŦ⧁āĻāϤ⧇ āϚāĻžā§Ÿ, especially students, researchers āĻŦāĻž curious developers — āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ āĻĻāĻžāϰ⧁āĻŖ āĻāĻ•āϟāĻž āĻŦāχāĨ¤
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25/05/2026

“Cracking the Coding Interview” āĻļ⧁āϧ⧁ āĻāĻ•āϟāĻž interview prep book āύāĻž — problem solving mindset build āĻ•āϰāĻžāϰ āĻāĻ•āϟāĻž solid guideāĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ Data Structures & Algorithms
â€ĸ Coding interview patterns
â€ĸ Problem solving approach
â€ĸ Time complexity āύāĻŋā§Ÿā§‡ practical thinking

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦāĻŋāώ⧟ āĻšāϞ⧋ — āĻļ⧁āϧ⧁ solution āύāĻž, interviewer āϕ⧀āĻ­āĻžāĻŦ⧇ āϚāĻŋāĻ¨ā§āϤāĻž āĻ•āϰ⧇ āϏ⧇āϟāĻžāĻ“ explain āĻ•āϰ⧇āĨ¤ āϤāĻžāχ preparation āĻ…āύ⧇āĻ• realistic āϞāĻžāϗ⧇āĨ¤

āĻ…āĻ¨ā§āϝ āĻ…āύ⧇āĻ• DSA āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ theory-heavy, āĻāχ āĻŦāχāϟāĻž āϏ⧇āĻ–āĻžāύ⧇ interview-focused āφāϰ hands-on practice basedāĨ¤

āϝāĻžāϰāĻž Software Engineering, Competitive Programming āĻŦāĻž Tech interview āĻāϰ preparation āύāĻŋāĻšā§āϛ⧇ — āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ āĻāϟāĻž almost must-read āĻāĻ•āϟāĻž āĻŦāχāĨ¤
Cracking the Coding Interview price in BD Inbox

24/05/2026

“Deep Learning for Coders” āĻŦāχāϟāĻž āĻĒā§œā§‡ āϏāĻŦāĻšā§‡ā§Ÿā§‡ āĻ­āĻžāϞ⧋ āϞāĻžāĻ—āϛ⧇ — āĻāϟāĻž āĻļ⧁āϧ⧁ theory āύāĻž, practically AI build āĻ•āϰāĻž āĻļ⧇āĻ–āĻžā§ŸāĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ Deep Learning āĻāϰ basic concepts
â€ĸ PyTorch āĻĻāĻŋā§Ÿā§‡ model āϤ⧈āϰāĻŋ
â€ĸ Computer Vision & NLP āĻāϰ hands-on āĻ•āĻžāϜ
â€ĸ Real-world problem solve āĻ•āϰāĻžāϰ approach

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦāĻŋāώ⧟ āĻšāϞ⧋ — āĻ…āύ⧇āĻ• AI āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ āĻ•āĻ āĻŋāύ math āύāĻŋā§Ÿā§‡ āϝāĻžā§Ÿ, āĻāχ āĻŦāχāϟāĻž coding-first approach follow āĻ•āϰ⧇āĨ¤ āϤāĻžāχ learning process āĻ…āύ⧇āĻ• engaging āϞāĻžāϗ⧇āĨ¤

āĻ…āĻ¨ā§āϝ āĻŦāχ āĻĨ⧇āϕ⧇ āĻāϟāĻž āφāϞāĻžāĻĻāĻž āĻ•āĻžāϰāĻŖ:
â€ĸ āĻŦ⧇āĻļāĻŋ practical
â€ĸ beginner-friendly explanation
â€ĸ directly project/building focus
â€ĸ fastai library āĻĻāĻŋā§Ÿā§‡ āĻĻā§āϰ⧁āϤ experiment āĻ•āϰāĻž āϝāĻžā§Ÿ

āϝāĻžāϰāĻž Python āϜāĻžāύ⧇ āφāϰ AI / Machine Learning āύāĻŋā§Ÿā§‡ āϏāĻŋāϰāĻŋ⧟āĻžāϏāϞāĻŋ āĻļ⧁āϰ⧁ āĻ•āϰāϤ⧇ āϚāĻžā§Ÿ, āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ honestly āϖ⧁āĻŦ āĻ­āĻžāϞ⧋ āĻāĻ•āϟāĻž āĻŦāχāĨ¤

24/05/2026

“Deep Learning for Coders” āĻŦāχāϟāĻž āĻĒā§œā§‡ āϏāĻŦāĻšā§‡ā§Ÿā§‡ āĻ­āĻžāϞ⧋ āϞāĻžāĻ—āϛ⧇ — āĻāϟāĻž āĻļ⧁āϧ⧁ theory āύāĻž, practically AI build āĻ•āϰāĻž āĻļ⧇āĻ–āĻžā§ŸāĨ¤

āĻāχ āĻŦāχ āĻĨ⧇āϕ⧇ āĻļāĻŋāĻ–āĻ›āĻŋ:
â€ĸ Deep Learning āĻāϰ basic concepts
â€ĸ PyTorch āĻĻāĻŋā§Ÿā§‡ model āϤ⧈āϰāĻŋ
â€ĸ Computer Vision & NLP āĻāϰ hands-on āĻ•āĻžāϜ
â€ĸ Real-world problem solve āĻ•āϰāĻžāϰ approach

āϏāĻŦāĻšā§‡ā§Ÿā§‡ interesting āĻŦāĻŋāώ⧟ āĻšāϞ⧋ — āĻ…āύ⧇āĻ• AI āĻŦāχ āϝ⧇āĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ āĻ•āĻ āĻŋāύ math āύāĻŋā§Ÿā§‡ āϝāĻžā§Ÿ, āĻāχ āĻŦāχāϟāĻž coding-first approach follow āĻ•āϰ⧇āĨ¤ āϤāĻžāχ learning process āĻ…āύ⧇āĻ• engaging āϞāĻžāϗ⧇āĨ¤

āĻ…āĻ¨ā§āϝ āĻŦāχ āĻĨ⧇āϕ⧇ āĻāϟāĻž āφāϞāĻžāĻĻāĻž āĻ•āĻžāϰāĻŖ:
â€ĸ āĻŦ⧇āĻļāĻŋ practical
â€ĸ beginner-friendly explanation
â€ĸ directly project/building focus
â€ĸ fastai library āĻĻāĻŋā§Ÿā§‡ āĻĻā§āϰ⧁āϤ experiment āĻ•āϰāĻž āϝāĻžā§Ÿ

āϝāĻžāϰāĻž Python āϜāĻžāύ⧇ āφāϰ AI / Machine Learning āύāĻŋā§Ÿā§‡ āϏāĻŋāϰāĻŋ⧟āĻžāϏāϞāĻŋ āĻļ⧁āϰ⧁ āĻ•āϰāϤ⧇ āϚāĻžā§Ÿ, āϤāĻžāĻĻ⧇āϰ āϜāĻ¨ā§āϝ honestly āϖ⧁āĻŦ āĻ­āĻžāϞ⧋ āĻāĻ•āϟāĻž āĻŦāχāĨ¤
Deep Learning for Coders with fastai & PyTorch price in BD Inbox

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