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Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 56 135 подписчиков, занимая 2 283 место в категории Технологии и приложения и 6 090 место в регионе Индия.
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С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 56 135 подписчиков.
Согласно последним данным от 30 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -71, а за последние 24 часа — 21, при этом общий охват остаётся высоким.
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📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 31 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
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Архив постов
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!😍
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+7
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 Know
✅ List 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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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
⌨️ Grammar Correction using Python
⌨️ Hide secret message in image using Python
𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
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🧿 Top 10 VS Code Extensions 📚👨💻
✨ Prettier - Clean, consistent auto-formatting
🧩 Bracket Pair Colorizer - Color-coded brackets
⚡️ Live Server - Auto-refresh websites as you code
📸 CodeSnap - Snap stunning code screenshots
🖤 Aura Theme - Sleek dark mode for your editor
🎨 Material Icon Theme - Colorful file icons, easy nav
🤖 GitHub Copilot - AI code buddy with smart suggestions
⚙️ ESLint - Catch and fix errors on the fly
🚀 Tabnine - Speed up coding with AI autocomplete
🔍 Path Intellisense - Auto path imports, zero hassle
React ❤️ for more like this
+8
Python PIP Cheatsheet 👆
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 - 𝗚𝗲𝘁 𝗦𝗮𝗹𝗮𝗿𝘆 𝗣𝗮𝗰𝗸𝗮𝗴𝗲 𝗨𝗽𝘁𝗼 𝟰𝟭𝗟𝗣𝗔 😍
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