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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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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

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

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 135 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 232-o'rinni va Hindiston mintaqasida 9 530-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 42 135 obunachiga ega boโ€˜ldi.

13 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 177 ga, soโ€˜nggi 24 soatda esa 11 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 2.32% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.71% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 976 marta koโ€˜riladi; birinchi sutkada odatda 299 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 14 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.

42 135
Obunachilar
+1124 soatlar
+307 kunlar
+17730 kunlar
Postlar arxiv
Sharing 20+ Diverse Datasets๐Ÿ“Š for Data Science and Analytics practice! 1. How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview 2. Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand 3. Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction 4. Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data 5. Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction 6. Iris Dataset: https://archive.ics.uci.edu/ml/datasets/iris 7. Titanic Dataset: https://www.kaggle.com/c/titanic 8. Wine Quality Dataset: https://archive.ics.uci.edu/ml/datasets/Wine+Quality 9. Heart Disease Dataset: https://archive.ics.uci.edu/ml/datasets/Heart+Disease 10. Bengaluru House Price Dataset: https://www.kaggle.com/amitabhajoy/bengaluru-house-price-data 11. Breast Cancer Dataset: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 12. Credit Card Fraud Detection: https://www.kaggle.com/mlg-ulb/creditcardfraud 13. Netflix Movies and TV Shows: https://www.kaggle.com/shivamb/netflix-shows 14. Trending YouTube Video Statistics: https://www.kaggle.com/datasnaek/youtube-new 15. Walmart Store Sales Forecasting: https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting 16. FIFA 19 Complete Player Dataset: https://www.kaggle.com/karangadiya/fifa19 17. World Happiness Report: https://www.kaggle.com/unsdsn/world-happiness 18. TMDB 5000 Movie Dataset: https://www.kaggle.com/tmdb/tmdb-movie-metadata 19. Students Performance in Exams: https://www.kaggle.com/spscientist/students-performance-in-exams 20. Twitter Sentiment Analysis Dataset: https://www.kaggle.com/kazanova/sentiment140 21. Digit Recognizer: https://www.kaggle.com/c/digit-recognizer ๐Ÿ’ป๐Ÿ” Don't miss out on these valuable resources for advancing your data science journey!

๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜โ€™๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—•๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐Ÿ˜ ๐Ÿš€ Want to Break into Data Analytics?
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜โ€™๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—•๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐Ÿ˜ ๐Ÿš€ Want to Break into Data Analytics? Start with This Free Power BI Course by Microsoft๐ŸŽฏ If youโ€™re trying to enter the field of data analytics but donโ€™t know where to start, Microsoft has your back!๐Ÿ’ป๐Ÿ“ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4jJvuaq Best part? Itโ€™s completely free and created by one of the most trusted names in techโœ…๏ธ

๐Ÿ“ Python Resources to boost your resume in 2025 ๐Ÿ“ ๐Ÿญ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ ๐˜๐—ผ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป This a great course to get started with
๐Ÿ“ Python Resources to boost your resume in 2025 ๐Ÿ“ ๐Ÿญ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ ๐˜๐—ผ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป This a great course to get started with learning Python, if you have no coding experience. ๐Ÿ‘‰ https://kaggle.com/learn/intro-to-programming ๐Ÿฎ. ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—ฐ๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science. ๐Ÿ‘‰ https://kaggle.com/learn/python ๐Ÿฏ. ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น๐˜€ ๐—ถ๐—ป ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐Ÿ‘‰ https://netacad.com/courses/programming/pcap-programming-essentials-python ๐Ÿฐ. Python Data Structure and Algorithms ๐Ÿ‘‰ https://t.me/programming_guide/76 ๐Ÿฑ. ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜๐—ถ๐—ณ๐—ถ๐—ฐ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป You'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization. ๐Ÿ‘‰ https://freecodecamp.org/learn/scientific-computing-with-python/

Repost from Data Analyst Jobs
๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น 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 ๐Ÿ˜ If youโ€™re eager to build r
๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น 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 ๐Ÿ˜ If youโ€™re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunityโ€”completely free! ๐Ÿ’ก No prior experience required ๐Ÿ“š Ideal for students, freshers, and aspiring data analysts โฐ Self-paced โ€” complete at your convenience ๐Ÿ”— ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—›๐—ฒ๐—ฟ๐—ฒ (๐—™๐—ฟ๐—ฒ๐—ฒ)๐Ÿ‘‡:-  https://pdlink.in/4iKcgA4 Enroll for FREE & Get Certified ๐ŸŽ“

AI is the next biggest skill to learn. AI experts are earing up to $200000+ per year. Here are 4 FREE courses from Google and Microsoft that most people don't know: https://microsoft.github.io/AI-For-Beginners/? https://www.cloudskillsboost.google/paths/118 https://www.deeplearning.ai/courses/ai-for-everyone/ https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ More free resources: https://t.me/udacityfreecourse

๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—ช๐—ถ๐˜๐—ต ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ฑ๐—ฒ ๐—ง๐—ต๐—ฎ๐˜ ๐—ช๐—ถ๐—น๐—น ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—ป๐˜๐—น๐˜† ๐—•
๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—ช๐—ถ๐˜๐—ต ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ฑ๐—ฒ ๐—ง๐—ต๐—ฎ๐˜ ๐—ช๐—ถ๐—น๐—น ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—ป๐˜๐—น๐˜† ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ๐Ÿ˜ Tired of Theory? Start Building Real Projects That Get You Noticed๐Ÿ“ If youโ€™re serious about data analytics, building hands-on projects is the best way to grow๐Ÿ“Š ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/42WSueL These projects are built to make you stand outโœ…๏ธ

๐Ÿ–ฅ Roadmap of free courses for learning Python and Machine learning. โ–ชData Science โ–ช AI/ML โ–ช Web Dev 1. Start with this https://kaggle.com/learn/python 2. Take any one of these โฏ https://t.me/pythondevelopersindia/76 โฏ https://youtu.be/rfscVS0vtbw?si=WdvcwfYR3PaLiyJQ 3. Then take this https://netacad.com/courses/programming/pcap-programming-essentials-python 4. Attempt for this certification https://freecodecamp.org/learn/scientific-computing-with-python/ 5. Take it to next level โฏ Data Visualization https://kaggle.com/learn/data-visualization โฏ Machine Learning http://developers.google.com/machine-learning/crash-course https://t.me/datasciencefun/290 โฏ Deep Learning (TensorFlow) http://kaggle.com/learn/intro-to-deep-learning Please more reaction with our posts Credits: https://t.me/datasciencefree

๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ 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—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspi
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ 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—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspiring data analyst, software enthusiast, or just curious about AI, nowโ€™s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified ๐ŸŽ“

Java vs Python ๐Ÿ‘†
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Java vs Python ๐Ÿ‘†

๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ 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˜€๐Ÿ˜ Whether youโ€™re a student, fresher, or professional lo
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ 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˜€๐Ÿ˜ Whether youโ€™re a student, fresher, or professional looking to upskill โ€” Microsoft has dropped a series of completely free courses to get you started. Learn SQL ,Power BI & More In 2025  ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/42FxnyM Enroll For FREE & Get Certified ๐ŸŽ“

Do it right! โ–ช๏ธGoogle was the 12th search engine โ–ช๏ธThe iPad was the 12th tablet โ–ช๏ธFacebook was the 10th social network โ–ช๏ธTesla is not the first to produce an electric car It's not about who gets there first. It all depends on who gets it right when the market is ready.

๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†๐Ÿ˜ 1. Introduction to Data Science 2. PwC Dig
๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†๐Ÿ˜ 1. Introduction to Data Science 2. PwC Digital Intelligence 3. BCG Generative AI 4. Data Analytics ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/3WavPct Enroll For FREE & Get Certified ๐ŸŽ“

Data Science Roadmap
Data Science Roadmap

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ Master SQL in 30 Days โ€” With
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ Master SQL in 30 Days โ€” Without Spending a Single Rupee!๐Ÿ’ฐ If youโ€™re serious about data analysis, backend development, or becoming job-ready in tech, SQL is a must-have skill๐Ÿ“Š๐Ÿ‘จโ€๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3GyIbpL You donโ€™t need a fancy degree to master SQLโ€”just this roadmap and daily consistency. Start slow, stay steady, and finish strong.โœ…๏ธ

๐Ÿ’ก What is Recursion?
+6
๐Ÿ’ก What is Recursion?

Don't overwhelm to learn JavaScript, JavaScript is only this much 1.Variables โ€ข var โ€ข let โ€ข const 2. Data Types โ€ข number โ€ข string โ€ข boolean โ€ข null โ€ข undefined โ€ข symbol 3.Declaring variables โ€ข var โ€ข let โ€ข const 4.Expressions Primary expressions โ€ข this โ€ข Literals โ€ข [] โ€ข {} โ€ข function โ€ข class โ€ข function* โ€ข async function โ€ข async function* โ€ข /ab+c/i โ€ข string โ€ข ( ) Left-hand-side expressions โ€ข Property accessors โ€ข ?. โ€ข new โ€ข new .target โ€ข import.meta โ€ข super โ€ข import() 5.operators โ€ข Arithmetic Operators: +, -, *, /, % โ€ข Comparison Operators: ==, ===, !=, !==, <, >, <=, >= โ€ข Logical Operators: &&, ||, ! 6.Control Structures โ€ข if โ€ข else if โ€ข else โ€ข switch โ€ข case โ€ข default 7.Iterations/Loop โ€ข do...while โ€ข for โ€ข for...in โ€ข for...of โ€ข for await...of โ€ข while 8.Functions โ€ข Arrow Functions โ€ข Default parameters โ€ข Rest parameters โ€ข arguments โ€ข Method definitions โ€ข getter โ€ข setter 9.Objects and Arrays โ€ข Object Literal: { key: value } โ€ข Array Literal: [element1, element2, ...] โ€ข Object Methods and Properties โ€ข Array Methods: push(), pop(), shift(), unshift(), splice(), slice(), forEach(), map(), filter() 10.Classes and Prototypes โ€ข Class Declaration โ€ข Constructor Functions โ€ข Prototypal Inheritance โ€ข extends keyword โ€ข super keyword โ€ข Private class features โ€ข Public class fields โ€ข static โ€ข Static initialization blocks 11.Error Handling โ€ข try, โ€ข catch, โ€ข finally (exception handling) ADVANCED CONCEPTS 12.Closures โ€ข Lexical Scope โ€ข Function Scope โ€ข Closure Use Cases 13.Asynchronous JavaScript โ€ข Callback Functions โ€ข Promises โ€ข async/await Syntax โ€ข Fetch API โ€ข XMLHttpRequest 14.Modules โ€ข import and export Statements (ES6 Modules) โ€ข CommonJS Modules (require, module.exports) 15.Event Handling โ€ข Event Listeners โ€ข Event Object โ€ข Bubbling and Capturing 16.DOM Manipulation โ€ข Selecting DOM Elements โ€ข Modifying Element Properties โ€ข Creating and Appending Elements 17.Regular Expressions โ€ข Pattern Matching โ€ข RegExp Methods: test(), exec(), match(), replace() 18.Browser APIs โ€ข localStorage and sessionStorage โ€ข navigator Object โ€ข Geolocation API โ€ข Canvas API 19.Web APIs โ€ข setTimeout(), setInterval() โ€ข XMLHttpRequest โ€ข Fetch API โ€ข WebSockets 20.Functional Programming โ€ข Higher-Order Functions โ€ข map(), reduce(), filter() โ€ข Pure Functions and Immutability 21.Promises and Asynchronous Patterns โ€ข Promise Chaining โ€ข Error Handling with Promises โ€ข Async/Await 22.ES6+ Features โ€ข Template Literals โ€ข Destructuring Assignment โ€ข Rest and Spread Operators โ€ข Arrow Functions โ€ข Classes and Inheritance โ€ข Default Parameters โ€ข let, const Block Scoping 23.Browser Object Model (BOM) โ€ข window Object โ€ข history Object โ€ข location Object โ€ข navigator Object 24.Node.js Specific Concepts โ€ข require() โ€ข Node.js Modules (module.exports) โ€ข File System Module (fs) โ€ข npm (Node Package Manager) 25.Testing Frameworks โ€ข Jasmine โ€ข Mocha โ€ข Jest

Difference between HTTP and HTTPS
Difference between HTTP and HTTPS

Repost from Data Analytics
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ If
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ If youโ€™re serious about becoming a Data Analyst in 2025, you need more than just basic theory๐Ÿ‘จโ€๐Ÿ’ป You must master skills that recruiters actually look for โ€” skills that make you job-ready, confident, and in-demand๐Ÿ”ฅ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3RCPmiY All you need is dedication, practice, and the right resources โ€” and Iโ€™ve got you covered!โœ…๏ธ

๐Ÿ’ก 30 must know terms in project management
๐Ÿ’ก 30 must know terms in project management

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