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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 56 135 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 283-o'rinni va Hindiston mintaqasida 6 090-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 56 135 obunachiga ega bo‘ldi.

30 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -71 ga, so‘nggi 24 soatda esa 21 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 1.76% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.70% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 989 marta ko‘riladi; birinchi sutkada odatda 394 ta ko‘rish yig‘iladi.
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  • 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 31 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.

56 135
Obunachilar
+2124 soatlar
+27 kunlar
-7130 kunlar
Postlar arxiv
Top 10 Python Concepts Variables & Data Types Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries. Control Flow (if, else, elif) Write logic-based programs using conditional statements. Loops (for & while) Automate tasks and iterate over data efficiently. Functions Build reusable code blocks with def, understand parameters, return values, and scope. List Comprehensions Create and transform lists concisely: [x*2 for x in range(10) if x % 2 == 0] Modules & Packages Import built-in, third-party, or custom modules to structure your code. Exception Handling Handle errors using try, except, finally for robust programs. Object-Oriented Programming (OOP) Learn classes, objects, inheritance, encapsulation, and polymorphism. File Handling Open, read, write, and manage files using open(), read(), write(). Working with Libraries Use powerful libraries like: - NumPy for numerical operations - Pandas for data analysis - Matplotlib/Seaborn for visualization - Requests for API calls - JSON for data parsing #python

𝗟𝗲𝗮𝗿𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗘𝗹𝗲𝘃𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗚𝗮𝗺𝗲!😍 Want to turn raw data int
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There were a bunch of new methods added to thr Set interface in JavaScript, and here are all of them! ✨ Sets represent a coll
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There were a bunch of new methods added to thr Set interface in JavaScript, and here are all of them! ✨ Sets represent a collection of unordered items, and are optimised to quickly find if a particular item exists in a collection or not. These methods help to reduce a lot of boilerplate code which would be required otherwise!

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How to convert image to pdf in Python # Python3 program to convert image to pfd # using img2pdf library   # importing necessary libraries import img2pdf from PIL import Image import os   # storing image path img_path = "Input.png"   # storing pdf path pdf_path = "file_pdf.pdf"   # opening image image = Image.open(img_path)   # converting into chunks using img2pdf pdf_bytes = img2pdf.convert(image.filename)   # opening or creating pdf file file = open(pdf_path, "wb")   # writing pdf files with chunks file.write(pdf_bytes)   # closing image file image.close()   # closing pdf file file.close()   # output print("Successfully made pdf file") pip3 install pillow && pip3 install img2pdf

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10 Python Concepts Every Developer Should KnowList Comprehensions – Write cleaner loops in a single line ✅ Lambda Functions – Anonymous functions for quick operations ✅ Decorators – Add functionality to functions without changing them ✅ Generators & Iterators – Handle large data efficiently with lazy evaluation ✅ OOP (Classes & Inheritance) – Build scalable, reusable code ✅ Exception Handling – Write error-proof programs with try-except blocks ✅ Modules & Packages – Organize your code like a pro ✅ Virtual Environments (venv) – Keep dependencies isolated per project ✅ File Handling (with open) – Read/write files securely ✅ Type Hinting – Make your code more readable and less error-prone Free Python Resources:

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𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲 𝗣𝗿𝗲𝘃𝗶𝗲𝘄 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 - Data Analytics - Python - SQL - Excel - Data Science - AI 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/41VIuSA Enroll Now & Get a course completion certificate🎓

Python Cheatsheet ♥️ 1. Common Data Types int, float – numbers str – text list – ordered, changeable collection dict – key-value pairs tuple – like list, but unchangeable set – unique, unordered items 2. Essential Functions print() – display output type() – check data type len() – count items range() – generate numbers input() – take user input 3. String Methods .upper(), .lower() – change case .strip() – remove whitespace .replace() – swap text .split() – break into list 4. List Methods append() – add item pop() – remove item sort() – sort list [1:4] – 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 – conditions for – loop over items while – loop with condition break / continue – control loop 7. Functions def – define a function return – return a value lambda – short anonymous function 8. Useful Built-in Modules math – sqrt, pi, round random – random numbers, choices datetime – current date/time os – system & file handling 9. Popular Libraries for Data Work NumPy – numerical operations Pandas – dataframes and analysis Matplotlib React with ❤️ for more useful Cheatsheets #python

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