Java Books
Java ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ° ΠΠΎ Π²ΡΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ- @notxxx1 @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - π₯ best it channels @ArtificialIntelligencedl - AI @pythonlbooks-π @programming_books_it -it π β 5032728887
Show moreπ Analytical overview of Telegram channel Java Books
Channel Java Books (@java_library) is an active participant. Currently, the community unites 14 213 subscribers, ranking 8 759 in the Technologies & Applications category and 45 737 in the Russia region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 14 213 subscribers.
According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -64 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 9.58%. Within the first 24 hours after publication, content typically collects 3.73% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 361 views. Within the first day, a publication typically gains 530 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
- Thematic interests: Content is focused on key topics such as docker, ΡΠΎΠ±Π΅ΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅, sql, boot, string.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βJava ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°
ΠΠΎ Π²ΡΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ- @notxxx1
@ai_machinelearning_big_data - machine learning
@pythonl - Python
@itchannels_telegram - π₯ best it channels
@ArtificialIntelligencedl - AI
@pythonlbooks-π
@programming_books_it -it π
β 503272888...β
Thanks to the high frequency of updates (latest data received on 28 August, 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.
