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 55 792 名订阅者,在 技术与应用 类别中位列第 2 358,并在 印度 地区排名第 6 032 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 55 792 名订阅者。
根据 01 十一月, 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 -211,过去 24 小时变化为 4,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 2.04%。内容发布后 24 小时内通常能获得 0.56% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 136 次浏览,首日通常累积 311 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 02 十一月, 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。
55 792
订阅者
+424 小时
-347 天
-21130 天
帖子存档
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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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List Comprehension in Python
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