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

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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 56 116 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 374-o'rinni va Hindiston mintaqasida 6 521-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 56 116 obunachiga ega boโ€˜ldi.

11 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 90 ga, soโ€˜nggi 24 soatda esa 6 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 2.81% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.87% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 578 marta koโ€˜riladi; birinchi sutkada odatda 489 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 4 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent algorithm, structure, stack, javascript, programming kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œEverything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_dataโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 12 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.

56 116
Obunachilar
+624 soatlar
+327 kunlar
+9030 kunlar
Postlar arxiv
๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ These free, Microsoft-backed courses are a game-ch
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10 Python Concepts Every Developer Should Know โœ… List Comprehensions โ€“ Write cleaner loops in a single line โœ… Lambda Functions โ€“ Anonymous functions for quick operations โœ… Decorators โ€“ Add functionality to functions without changing them โœ… Generators & Iterators โ€“ Handle large data efficiently with lazy evaluation โœ… OOP (Classes & Inheritance) โ€“ Build scalable, reusable code โœ… Exception Handling โ€“ Write error-proof programs with try-except blocks โœ… Modules & Packages โ€“ Organize your code like a pro โœ… Virtual Environments (venv) โ€“ Keep dependencies isolated per project โœ… File Handling (with open) โ€“ Read/write files securely โœ… Type Hinting โ€“ Make your code more readable and less error-prone Free Python Resources:

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Python Cheatsheet โ™ฅ๏ธ 1. Common Data Types int, float โ€“ numbers str โ€“ text list โ€“ ordered, changeable collection dict โ€“ key-value pairs tuple โ€“ like list, but unchangeable set โ€“ unique, unordered items 2. Essential Functions print() โ€“ display output type() โ€“ check data type len() โ€“ count items range() โ€“ generate numbers input() โ€“ take user input 3. String Methods .upper(), .lower() โ€“ change case .strip() โ€“ remove whitespace .replace() โ€“ swap text .split() โ€“ break into list 4. List Methods append() โ€“ add item pop() โ€“ remove item sort() โ€“ sort list [1:4] โ€“ slicing (get part of list) 5. Dictionary Basics Access: mydict['key'] Safe access: mydict.get('key') Add/Update: mydict['new'] = value 6. Control Flow if / elif / else โ€“ conditions for โ€“ loop over items while โ€“ loop with condition break / continue โ€“ control loop 7. Functions def โ€“ define a function return โ€“ return a value lambda โ€“ short anonymous function 8. Useful Built-in Modules math โ€“ sqrt, pi, round random โ€“ random numbers, choices datetime โ€“ current date/time os โ€“ system & file handling 9. Popular Libraries for Data Work NumPy โ€“ numerical operations Pandas โ€“ dataframes and analysis Matplotlib React with โค๏ธ for more useful Cheatsheets #python

โŒจ๏ธ Hide secret message in image using Python
โŒจ๏ธ Hide secret message in image using Python

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