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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

Kanalga Telegramโ€™da oโ€˜tish

๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 100 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 208-o'rinni va Hindiston mintaqasida 9 253-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 42 100 obunachiga ega boโ€˜ldi.

23 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 129 ga, soโ€˜nggi 24 soatda esa -20 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 1.84% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.43% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 775 marta koโ€˜riladi; birinchi sutkada odatda 183 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 3 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 24 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

42 100
Obunachilar
-2024 soatlar
-457 kunlar
+12930 kunlar
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Iyun '26
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+180
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+362
1 kanalda
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+184
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+119
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+422
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Yanvar '26
+597
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Dekabr '25
+579
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Noyabr '25
+679
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+688
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Sentabr '25
+427
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+536
3 kanalda
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Iyul '25
+620
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+1 106
4 kanalda
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May '25
+2 255
4 kanalda
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Aprel '25
+3 437
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Mart '25
+975
4 kanalda
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+631
7 kanalda
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Yanvar '25
+522
3 kanalda
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Dekabr '24
+274
0 kanalda
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Noyabr '24
+692
3 kanalda
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Oktabr '24
+989
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+1 757
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Avgust '24
+2 074
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Iyul '24
+2 844
3 kanalda
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+2 467
2 kanalda
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May '24
+2 070
5 kanalda
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Aprel '24
+1 948
3 kanalda
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Mart '24
+2 755
2 kanalda
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Fevral '24
+3 503
1 kanalda
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Yanvar '24
+3 236
3 kanalda
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Dekabr '23
+2 129
2 kanalda
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Noyabr '23
+682
6 kanalda
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Oktabr '23
+697
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Sentabr '23
+636
0 kanalda
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Avgust '23
+3 531
0 kanalda
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23 Iyun+5
22 Iyun0
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18 Iyun+1
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15 Iyun+8
14 Iyun+13
13 Iyun+20
12 Iyun+13
11 Iyun+1
10 Iyun+9
09 Iyun+7
08 Iyun+7
07 Iyun+10
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๐Ÿณ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ๐Ÿ˜ โœ… 100% FREE & Beginner-Friendly โœ… Lea
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๐Ÿ”ฐ Anonymous function in Python.
๐Ÿ”ฐ Anonymous function in Python.
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๐—ฃ๐—ฎ๐˜† ๐—”๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ - ๐—™๐˜‚๐—น๐—น๐˜€๐˜๐—ฎ๐—ฐ๐—ธ๐——๐—ฒ๐˜ƒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ช๐—ถ๐˜๐—ต ๐—š๐—ฒ๐—ป๐—”๐—œ ๐Ÿ˜ Curriculum
๐—ฃ๐—ฎ๐˜† ๐—”๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ - ๐—™๐˜‚๐—น๐—น๐˜€๐˜๐—ฎ๐—ฐ๐—ธ๐——๐—ฒ๐˜ƒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ช๐—ถ๐˜๐—ต ๐—š๐—ฒ๐—ป๐—”๐—œ ๐Ÿ˜ Curriculum designed and taught by alumni from IITs & leading tech companies. Learn Coding & Get Placed In Top Tech Companies ๐—›๐—ถ๐—ด๐—ต๐—น๐—ถ๐—ด๐—ต๐˜๐˜€:- ๐Ÿ’ผ Avg. Package: โ‚น7.2 LPA | Highest: โ‚น41 LPA ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐๐จ๐ฐ ๐Ÿ‘‡:- ย https://pdlink.in/42WOE5H Hurry! Limited seats are available.๐Ÿƒโ€โ™‚๏ธ
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How to send follow up email to a recruiter ๐Ÿ‘‡๐Ÿ‘‡ Dear [Recruiterโ€™s Name], I hope this email finds you doing well. I wanted to take a moment to express my sincere gratitude for the time and consideration you have given me throughout the recruitment process for the [position] role at [company]. I understand that you must be extremely busy and receive countless applications, so I wanted to reach out and follow up on the status of my application. If itโ€™s not too much trouble, could you kindly provide me with any updates or feedback you may have? I want to assure you that I remain genuinely interested in the opportunity to join the team at [company] and I would be honored to discuss my qualifications further. If there are any additional materials or information you require from me, please donโ€™t hesitate to let me know. Thank you for your time and consideration. I appreciate the effort you put into recruiting and look forward to hearing from you soon. Warmest regards, (Tap to copy)
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๐—”๐—ฐ๐—ฐ๐—ฒ๐—ป๐˜๐˜‚๐—ฟ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜
๐—”๐—ฐ๐—ฐ๐—ฒ๐—ป๐˜๐˜‚๐—ฟ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ฒ ๐Ÿ“Š Join the Accenture Virtual Internship Program and learn industry-relevant analytics skills with a free certificate ๐ŸŒ โœจ Learn from Accenture Industry Experts โœจ Boost Your Resume & LinkedIn Profile โœจ Gain Practical Analytics Experience โœจ Improve Career Opportunities in 2026 โœจ Great for Students & Freshers ๐Ÿ”— ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡: https://pdlink.in/42TuhXg ๐Ÿ”ฅ Start your Data Analytics journey today and gain valuable virtual internship experience from a top global company.
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๐Ÿ”น Placement Ready in 3 Months! ๐Ÿ”น 1. Month 1: Aptitude - Quantitative Aptitude, Logical Reasoning, Verbal Ability - Daily practice and mock tests 2. Month 1 & 2: Course Fundamentals - OOPS, DBMS, OS, CN, Java, C++ - Study plan and resources 3. Months 1, 2, & 3: Coding - Data Structures and Algorithms (DSA) - Practice on platforms like Hackerrank, Codechef, and Leetcode 4. Projects, Skills, and Internships - Full-stack or ML projects - Internship experiences and interview prep 5. Month 3: Mock Interviews - Practice with Pramp and peers Top Coding Interview Resources to prepare for Microsoft, Amazon, Meta, Apple, Adobe, VMware, Visa, Twitter, LinkedIn, JP Morgan, Goldman Sachs, Oracle and Walmart ๐Ÿ‘‡๐Ÿ‘‡ https://topmate.io/coding/951517 All the best ๐Ÿ‘๐Ÿ‘
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๐Ÿš€ ๐—ง๐—ผ๐—ฝ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ป ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜! ๐Ÿ’ผ๐Ÿ”ฅ These free courses c
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On Reddit, someone collected all the resources they used to prepare for interviews on algorithms, system design, and machine coding. In the end, they made it to a Google interview. 1. Algorithms and Patterns Before grinding on problems, it's worth understanding the patterns. โ€ข All LeetCode Articles on Coding Patterns Summarized https://leetcode.com/discuss/interview-question/5366542/all-leetcode-articles-on-coding-patterns-summarized-in-one-page โ€ข Solved All Two Pointers Problems in 100 Days https://leetcode.com/discuss/study-guide/1688903/Solved-all-two-pointers-problems-in-100-days โ€ข Tree Question Pattern 2023 โ€” Tree Study Guide https://leetcode.com/discuss/study-guide/2879240/tree-question-pattern-2023-tree-study-guide โ€ข Important and Useful Links from All Over LeetCode https://leetcode.com/discuss/general-discussion/665604/Important-and-Useful-links-from-all-over-the-LeetCode โ€ข Coding Interview Preparation Problems for Beginners https://leetcode.com/discuss/interview-question/448284/Coding-Interview-preparation-problems-for-beginners 2. Preparation for Companies โ€ข Google, Meta, Apple, Amazon Senior SDE Preparation https://prachub.com/?sort=hot&company=Meta%2CGoogle%2CTikTok%2CAmazon โ€ข A Study Guide for Passing the Google Interview https://prachub.com/interview-guide The author also made a small tracker for preparation: โ€ข company-specific questions โ€ข Todo / Solved / Revision statuses โ€ข automatic repetition scheduling โ€ข AI assistant with hints instead of ready-made solutions https://prachub.com/questions 3. System Design (HLD) Instead of random articles โ€” structured collections: โ€ข Arch 25 โ€” the most common systems and patterns โ€ข Arch 50 โ€” infrastructure, data, and fault tolerance โ€ข Arch 75 โ€” more complex scenarios and company-specific specialization โ€ข Arch All โ€” a full bank of 103 HLD tasks โ€ข Core Concepts โ€” 33 breakdowns of distributed systems 4. Machine Coding / LLD Many underestimate this part until their first interview failure. โ€ข MaCo 30 โ€” the most common tasks โ€ข MaCo 60 โ€” an extended collection โ€ข MaCo All โ€” a full set of 103 tasks โ€ข Design Patterns โ€” 31 design patterns
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๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ | ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—๐—ผ๐—ฏ ๐—”๐˜€๐˜€๐—ถ๐˜€๐˜๐—ฎ๐—ป๐—ฐ๐—ฒ๐Ÿ˜ โœ… Build
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AI/ML roadmap Topic: Mathematics - Subtopic: Linear Algebra - Vectors, Matrices, Eigenvalues and Eigenvectors - Subtopic: Calculus - Differentiation, Integration, Partial Derivatives - Subtopic: Probability and Statistics - Probability Theory, Random Variables, Statistical Inference Topic: Programming - Subtopic: Python - Python Basics, Libraries like NumPy, Pandas, Matplotlib Topic: Machine Learning - Subtopic: Supervised Learning - Linear Regression, Logistic Regression, Decision Trees - Subtopic: Unsupervised Learning - Clustering, Dimensionality Reduction[1](https://i.am.ai/roadmap) - Subtopic: Neural Networks and Deep Learning - Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks Topic: Specializations - Subtopic: Natural Language Processing - Text Preprocessing, Topic Modeling, Word Embeddings - Subtopic: Computer Vision - Image Processing, Object Detection, Image Segmentation - Subtopic: Reinforcement Learning - Markov Decision Processes, Q-Learning, Policy Gradients Join for more: https://t.me/machinelearning_deeplearning
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๐Ÿ“Š ๐—–๐—ถ๐˜€๐—ฐ๐—ผ ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป | ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—ก๐—ผ๐˜„! ๐Ÿš€ ๐Ÿš€ Data Analytics is
๐Ÿ“Š ๐—–๐—ถ๐˜€๐—ฐ๐—ผ ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป | ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—ก๐—ผ๐˜„! ๐Ÿš€ ๐Ÿš€ Data Analytics is one of the most in-demand career paths in 2026 ๐Ÿ”ฅ Program Benefits: โœ… FREE Certification โœ… Self-Paced Learning โœ… Beginner Friendly โœ… Industry-Relevant Curriculum โœ… Resume & LinkedIn Booster ๐Ÿ”— ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡: https://pdlink.in/4gaeVVV ๐Ÿ“ข Share with friends who want to start a career in Data Analytics!
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Most Asked SQL Interview Questions at MAANG Companies๐Ÿ”ฅ๐Ÿ”ฅ Preparing for an SQL Interview at MAANG Companies? Here are some crucial SQL Questions you should be ready to tackle: 1. How do you retrieve all columns from a table? SELECT * FROM table_name; 2. What SQL statement is used to filter records? SELECT * FROM table_name WHERE condition; The WHERE clause is used to filter records based on a specified condition. 3. How can you join multiple tables? Describe different types of JOINs. SELECT columns FROM table1 JOIN table2 ON table1.column = table2.column JOIN table3 ON table2.column = table3.column; Types of JOINs: 1. INNER JOIN: Returns records with matching values in both tables SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column; 2. LEFT JOIN: Returns all records from the left table & matched records from the right table. Unmatched records will have NULL values. SELECT * FROM table1 LEFT JOIN table2 ON table1.column = table2.column; 3. RIGHT JOIN: Returns all records from the right table & matched records from the left table. Unmatched records will have NULL values. SELECT * FROM table1 RIGHT JOIN table2 ON table1.column = table2.column; 4. FULL JOIN: Returns records when there is a match in either left or right table. Unmatched records will have NULL values. SELECT * FROM table1 FULL JOIN table2 ON table1.column = table2.column; 4. What is the difference between WHERE & HAVING clauses? WHERE: Filters records before any groupings are made. SELECT * FROM table_name WHERE condition; HAVING: Filters records after groupings are made. SELECT column, COUNT(*) FROM table_name GROUP BY column HAVING COUNT(*) > value; 5. How do you calculate average, sum, minimum & maximum values in a column? Average: SELECT AVG(column_name) FROM table_name; Sum: SELECT SUM(column_name) FROM table_name; Minimum: SELECT MIN(column_name) FROM table_name; Maximum: SELECT MAX(column_name) FROM table_name; Here you can find essential SQL Interview Resources๐Ÿ‘‡ https://t.me/mysqldata Like this post if you need more ๐Ÿ‘โค๏ธ Hope it helps :)
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๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ฐ๐—น๐—ฎ๐˜€๐˜€ ๐Ÿ˜ ๐Ÿ’ซ This Masterclass will help you build a strong foundation in Data Science ๐Ÿ’ซKickstart Your Data Science Career.Join this Masterclass for an expert-led session on Data Science Eligibility :- Students ,Freshers & Working Professionals ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡ :- https://pdlink.in/4uBFtDb ( Limited Slots ..Hurry Upโ€ ) Date & Time :- 19th June 2026 , 7:00 PM
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Networking Basics๐Ÿ’ป๐Ÿ“ #techinfo
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๐ŸŒ Frontend Development Concepts You Should Know Frontend development focuses on building the user interface (UI) of websites and web applicationsโ€”the part users see and interact with in the browser. It combines design, structure, interactivity, and performance to create responsive and user-friendly web experiences. 1๏ธโƒฃ Core Technologies of Frontend Development Frontend development is built on three foundational technologies: - HTML (HyperText Markup Language): provides the structure of a webpage - CSS (Cascading Style Sheets): controls the visual appearance and layout - JavaScript: adds interactivity and dynamic behavior to web pages 2๏ธโƒฃ Important Frontend Concepts - Responsive Design: ensures websites work properly across devices - DOM (Document Object Model): represents the structure of a webpage as objects - Event Handling: frontend applications respond to user actions - Asynchronous Programming: fetch data without reloading pages 3๏ธโƒฃ Frontend Frameworks & Libraries - React: popular JavaScript library for building component-based UI - Angular: full frontend framework for large-scale applications - Vue.js: lightweight framework known for simplicity and flexibility 4๏ธโƒฃ Styling Tools - CSS Frameworks: Tailwind CSS, Bootstrap, Material UI - CSS Preprocessors: Sass, Less 5๏ธโƒฃ Frontend Development Tools - VS Code: code editor - Git: version control - Webpack / Vite: module bundlers - NPM / Yarn: package managers - Chrome DevTools: debugging 6๏ธโƒฃ Performance Optimization - lazy loading - code splitting - image optimization - caching strategies - minimizing HTTP requests 7๏ธโƒฃ Typical Frontend Development Workflow 1. UI/UX Design 2. HTML Structure 3. Styling with CSS 4. Add JavaScript Interactivity 5. Integrate APIs 6. Test and debug 7. Deploy application 8๏ธโƒฃ Real-World Frontend Projects - Responsive Portfolio Website - Weather App - To-Do List Application - E-commerce Product Page - Dashboard UI Double Tap โ™ฅ๏ธ For More
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๐ŸŽ“๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—œ๐—•๐—  ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿš€ IBM SkillsBuild offers FREE online courses, digita
๐ŸŽ“๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—œ๐—•๐—  ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿš€ IBM SkillsBuild offers FREE online courses, digital credentials, and career-focused learning paths to help students and professionals become job-ready. ๐ŸŒŸ โœ”๏ธ 100% Free Learning Resources โœ”๏ธ Industry-Recognized Digital Badges โœ”๏ธ Self-Paced Learning โœ”๏ธ Hands-On Projects & Assessments โœ”๏ธ Resume & LinkedIn Profile Enhancement ๐Ÿ”— ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡: https://pdlink.in/4vPMTDO โณ Start Learning Today & Boost Your Career!
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- Claude for coding. ($20/mo) - Supabase for backend. (Free tier) - Vercel for deploying. (Free tier) - Namecheap for domain. ($12/yr) - Stripe for payments. (2.9% per transaction) - GitHub for version control. (Free) - Resend for emails. (Free tier) - Clerk for auth. (Free tier) - Cloudflare for DNS. (Free) - PostHog for analytics. (Free tier) - Sentry for error tracking. (Free tier) - Upstash for Redis. (Free tier) - Pinecone for vector DB. (Free tier)
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๐ŸŽ“ ๐—œ๐—œ๐—  ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿš€ Here's your chance to access FREE online courses offered by IIMs a
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30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Best Programming Resources: https://topmate.io/coding/886839 ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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