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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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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 56 114 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 293-o'rinni va Hindiston mintaqasida 6 177-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 56 114 obunachiga ega bo‘ldi.

27 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -67 ga, so‘nggi 24 soatda esa -10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 1.80% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.72% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 008 marta ko‘riladi; birinchi sutkada odatda 402 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent algorithm, structure, stack, javascript, programming kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

56 114
Obunachilar
-1024 soatlar
-557 kunlar
-6730 kunlar
Postlar arxiv
Typical C++ interview questions sorted by experience Junior: - What are the key features of object-oriented programming in C++? - Explain the differences between public, private, and protected access specifiers in C++. - Distinguish between function overloading and overriding in C++. - Compare and contrast abstract classes and interfaces in C++. - Can an interface inherit from another interface in C++? - Define the static keyword in C++ and its significance. - Is it possible to override a static method in C++? - Explain the concepts of polymorphism and inheritance in C++. - Can constructors be inherited in C++? - Discuss pass-by-reference and pass-by-value for objects in C++. - Compare == and .equals for string comparison in C++. - Explain the purposes of the hashCode() and equals() functions. - What does the Serializable interface do? How is it related to Parcelable in Android? - Differentiate between Array and ArrayList in C++. When would you use each? - Explain the distinction between Integer and int in C++. - Define ThreadPool and discuss its advantages over using simple threads. - Differentiate between local, instance, and class variables in C++. Mid: - What is reflection in C++? - Define dependency injection and name a few libraries. Have you used any? - Explain strong, soft, and weak references in C++. - Interpret the meaning of the synchronized keyword. - Can memory leaks occur in C++? - Is it necessary to set references to null in C++? - Why is a String considered immutable? - Discuss transient and volatile modifiers in C++. - What is the purpose of the finalize() method? - How does the try{} finally{} block work in C++? - Explain the difference between object instantiation and initialization. - Under what conditions is a static block executed in C++? - Why are generics used in C++? - Mention some design patterns you are familiar with. Which do you typically use? - Name some types of testing methodologies in C++. Senior: - Explain how std::stoi (string to integer) works in C++. - What is the "double-check locking" problem, and how can it be solved in C++? - Differentiate between StringBuffer and StringBuilder in C++. - How is StringBuilder implemented to avoid the immutable string allocation problem? - Explain the purpose of the Class.forName method in C++. - Define Autoboxing and Unboxing in C++. - What's the difference between Enumeration and Iterator in C++? - Explain the difference between fail-fast and fail-safe in C++. - What is PermGen in C++? - Describe a Java priority queue. - How is performance influenced by using the same number in different types: Int, Double, and Float? - Explain the concept of the Java Heap. - What is a daemon thread? - Can a dead thread be restarted in C++? ✅ Best Telegram channels to get free coding & data science resources -> https://t.me/addlist/4q2PYC0pH_VjZDk5 ENJOY LEARNING 👍👍

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🚀 Python Roadmap for Data Analytics 🐍📊🔥 🧠 STEP 1: Learn Python Basics ✔ Variables & Data Types ✔ Loops & Functions ✔ Lists, Tuples & Dictionaries ✔ File Handling ✔ Exception Handling 🛠 Tools to Learn: ✔ Jupyter Notebook ✔ Visual Studio Code 📊 STEP 2: Learn Data Handling ✔ Reading CSV & Excel Files ✔ Data Cleaning ✔ Handling Missing Values ✔ Data Transformation 🛠 Libraries to Learn: ✔ Pandas ✔ NumPy 📈 STEP 3: Learn Data Visualization ✔ Line Charts ✔ Bar Charts ✔ Pie Charts ✔ Heatmaps ✔ Interactive Dashboards 🛠 Visualization Libraries: ✔ Matplotlib ✔ Seaborn ✔ Plotly 🧠 STEP 4: Learn Statistics Basics ✔ Mean, Median & Mode ✔ Probability ✔ Correlation ✔ Hypothesis Testing ✔ A/B Testing ⚡ STEP 5: Learn SQL with Python ✔ Database Connections ✔ SQL Queries ✔ Fetching Data ✔ Data Integration 🛠 Libraries to Learn: ✔ sqlite3 ✔ SQLAlchemy ✔ PyMySQL 🤖 STEP 6: Learn Basic Machine Learning ✔ Regression ✔ Classification ✔ Clustering ✔ Model Evaluation 🛠 Frameworks to Learn: ✔ Scikit-learn ✔ XGBoost 📂 STEP 7: Learn Automation & Reporting ✔ Automating Reports ✔ Excel Automation ✔ API Data Collection ✔ Scheduling Tasks 🛠 Libraries to Learn: ✔ openpyxl ✔ requests ✔ schedule 🔥 STEP 8: Build Real Projects ✔ Sales Data Analysis ✔ HR Analytics Dashboard ✔ Customer Churn Analysis ✔ Financial Analytics ✔ Netflix Dataset Analysis Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L 💬 Tap ❤️ if this helped you!

📊 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱! 🚀 Want to start a career in
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Best YouTube Channels To Learn AI in 2026 1. Fundamentals – 3Blue1Brown  2. Deep Learning – Andrej Karpathy  3. AI Research – Yannic Kilcher  4. Practical AI – AssemblyAI  5. LLMs – AI Explained  6. ML Theory – StatQuest  7. Papers Simplified – Two Minute Papers  8. GenAI – Matthew Berman  9. AI Agents – Nicholas Renotte  10. Applied ML – Krish Naik  11. PyTorch – Aladdin Persson  12. Math for ML – Serrano Academy  13. Industry Insights – Lex Fridman  14. Real-world AI – DeepLearningAI ❤️ Follow  for more

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