Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
Show more📈 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 56 111 subscribers, ranking 2 368 in the Technologies & Applications category and 6 556 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 111 subscribers.
According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 104 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.58%. Within the first 24 hours after publication, content typically collects 0.84% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 450 views. Within the first day, a publication typically gains 471 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 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 09 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 Technologies & Applications category.
name = "Alice" # string (text)
age = 25 # integer (whole number)
height = 5.9 # float (decimal)
is_student = True # boolean (true/false)
Assign with =; choose types to match your data for efficiency.
4️⃣ Conditions & Loops
Make decisions (conditions) and repeat actions (loops).
# Condition
if age > 18:
print("Adult")
else:
print("Minor")
# Loop
for i in range(5):
print(i) # Outputs 0 to 4
Use if/else for branches; for/while for iterations to avoid repetitive code.
5️⃣ Functions
Reusable code blocks that perform specific tasks, reducing duplication.
def greet(name):
return f"Hello, {name}!"
result = greet("Alice") # Call the function
print(result) # "Hello, Alice!"
Define with def; pass inputs (parameters) and return outputs.
6️⃣ Data Structures
Organize data for easy access and manipulation.
⦁ Lists / Arrays – Ordered collections: fruits = ["apple", "banana"].
⦁ Dictionaries / Maps – Key-value pairs: person = {"name": "John", "age": 30}.
⦁ Stacks & Queues – For LIFO/FIFO operations (e.g., undo in apps).
⦁ Sets – Unique, unordered items for fast lookups.
Choose based on needs: lists for sequences, dicts for associations.
7️⃣ Problem Solving (DSA)
Break problems into steps using Data Structures and Algorithms (DSA).
⦁ Algorithms: Step-by-step solutions like searching (linear/binary) or sorting (bubble/quick).
⦁ Logic & patterns: Identify inputs, processes, outputs; think recursively for trees.
⦁ Efficiency: Measure time/space complexity (Big O) to optimize code.
Practice on platforms like LeetCode to build intuition.
8️⃣ Debugging
Finding and fixing errors in code.
⦁ Use print() statements to check values mid-execution.
⦁ Leverage IDE tools (VS Code debugger, breakpoints) for step-through inspection.
Common bugs: Syntax errors (typos), logic errors (wrong output), runtime errors (crashes). Read error messages—they guide you.
9️⃣ Git & GitHub
Version control for tracking changes and collaborating.
git init # Start a repo
git add. # Stage files
git commit -m "Initial code" # Save snapshot
git push # Upload to GitHub
GitHub hosts code publicly; use branches for features, pull requests for reviews.
🔟 Build Projects
Apply concepts by creating:
⦁ Calculator – Practice math operations and user input.
⦁ To-Do List – Handle arrays, functions, and persistence.
⦁ Weather App – Fetch APIs with async code.
⦁ Portfolio Website – Combine HTML/CSS/JS for real-world output.
Start small, iterate, and deploy to showcase skills.
💡 Coding is best learned by doing. Practice daily on platforms like LeetCode, HackerRank, or Codewars. Join communities (Reddit's r/learnprogramming) for support.
💬 Tap ❤️ for more!
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