Python Courses & Resources
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
Show more📈 Analytical overview of Telegram channel Python Courses & Resources
Channel Python Courses & Resources (@python53) in the English language segment is an active participant. Currently, the community unites 49 081 subscribers, ranking 3 612 in the Education category and 7 854 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 49 081 subscribers.
According to the latest data from 07 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 480 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.69%. Within the first 24 hours after publication, content typically collects 1.19% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 318 views. Within the first day, a publication typically gains 582 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as consultation, dentist, insidead, waybienad, appointment.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications.”
Thanks to the high frequency of updates (latest data received on 08 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.
This is a comprehensive course on data structures and algorithms. algo monster will break down the most essential data structures—like arrays, strings, sets, hashmaps, and heaps, and he'll show you exactly how and when to use them. You’ll also master core algorithmic patterns such as two pointers, sliding windows, binary search, breadth-first search (BFS), depth-first search (DFS), and backtracking, all explained with clear examples and real interview problems.⭐️ Contents ⭐️ ⌨️ (0:00:00) Array ⌨️ (0:03:11) String ⌨️ (0:04:56) Set ⌨️ (0:06:40) Control Flow & Looping ⌨️ (0:07:32) Big O Notation ⌨️ (0:10:02) Hashmap ⌨️ (0:15:54) Hashmap practice problems ⌨️ (0:18:52) Two Pointers ⌨️ (0:22:56) Two Pointers practice problems ⌨️ (0:26:48) Sliding Window ⌨️ (0:31:45) Sliding Window practice problems ⌨️ (0:37:39) Binary Search ⌨️ (0:39:28) Binary Search practice problems ⌨️ (0:48:28) Breadth-First Search (BFS) on Trees ⌨️ (0:50:36) BFS on Graphs ⌨️ (0:52:13) BFS practice problems ⌨️ (0:57:31) Depth-First Search (DFS) ⌨️ (0:59:01) DFS on Graphs ⌨️ (1:00:24) DFS practice problems ⌨️ (1:05:01) Backtracking ⌨️ (1:08:14) Backtracking practice problems ⌨️ (1:10:27) Priority Queue/heap ⌨️ (1:11:36) Priority Queue/heap practice problems
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