Github Top Repositories
Top GitHub repositories in one place ๐ Explore the best projects in programming, AI, data science, and more.
Show more๐ Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 13 295 subscribers, ranking 15 339 in the Education category and 32 388 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 13 295 subscribers.
According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 383 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.11%. Within the first 24 hours after publication, content typically collects 0.75% reactions from the total number of subscribers.
- Post reach: On average, each post receives 148 views. Within the first day, a publication typically gains 99 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โTop GitHub repositories in one place ๐
Explore the best projects in programming, AI, data science, and more.โ
Thanks to the high frequency of updates (latest data received on 12 June, 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 Education category.
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x = 10
name = "Riya"
is_active = True
2๏ธโฃ Common Data Types in Python
โข int โ Integers (whole numbers)
age = 25
โข float โ Decimal numbers
height = 5.8
โข str โ Text/String
city = "Mumbai"
โข bool โ Boolean (True or False)
is_student = False
โข list โ A collection of items
fruits = ["apple", "banana", "mango"]
โข tuple โ Ordered, immutable collection
coordinates = (10.5, 20.3)
โข dict โ Key-value pairs
student = {"name": "Riya", "score": 90}
3๏ธโฃ Type Checking
You can check the type of any variable using type()
print(type(age)) # <class 'int'>
print(type(city)) # <class 'str'>
4๏ธโฃ Type Conversion
Change data from one type to another:
num = "100"
converted = int(num)
print(type(converted)) # <class 'int'>
5๏ธโฃ Why This Matters in Data Science
Data comes in various types. Understanding and managing types is critical for:
โข Cleaning data
โข Performing calculations
โข Avoiding errors in analysis
โ
Practice Task for You:
โข Create 5 variables with different data types
โข Use type() to print each one
โข Convert a string to an integer and do basic math#agent #gaia #hle #agent_framework #futurex #xbench #search_agent #research_agent #deep_research #browsecomp================================== ๐ง By: https://t.me/DataScienceM
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