Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
前往频道在 Telegram
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
显示更多📈 Telegram 频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books 的分析概览
频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 56 135 名订阅者,在 技术与应用 类别中位列第 2 283,并在 印度 地区排名第 6 090 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 56 135 名订阅者。
根据 30 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -71,过去 24 小时变化为 21,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 1.76%。内容发布后 24 小时内通常能获得 0.70% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 989 次浏览,首日通常累积 394 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 主题关注点: 内容集中在 algorithm, structure, stack, javascript, programming 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
凭借高频更新(最新数据采集于 31 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
56 135
订阅者
+2124 小时
+27 天
-7130 天
帖子存档
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
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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 img2pdf𝟰 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
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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
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#python
⌨️ Grammar Correction using Python
⌨️ Hide secret message in image using Python
𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
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✨ Prettier - Clean, consistent auto-formatting
🧩 Bracket Pair Colorizer - Color-coded brackets
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🖤 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
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+8
Python PIP Cheatsheet 👆
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