Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
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Network:📈 Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 55 792 subscribers, ranking 2 358 in the Technologies & Applications category and 6 032 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 55 792 subscribers.
According to the latest data from 01 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -211 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.04%. Within the first 24 hours after publication, content typically collects 0.56% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 136 views. Within the first day, a publication typically gains 311 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Thanks to the high frequency of updates (latest data received on 02 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
55 792
Subscribers
+424 hours
-347 days
-21130 days
Posts Archive
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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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Languages and their uses 😁😂
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List Comprehension in Python
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