Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Machine Learning with Python
Kanalga Telegram’da o‘tish
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Ko'proq ko'rsatish📈 Telegram kanali Machine Learning with Python analitikasi
Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 810 obunachidan iborat bo'lib, Taʼlim toifasida 2 412-o'rinni va Hindiston mintaqasida 5 047-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 67 810 obunachiga ega bo‘ldi.
08 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 50 ga, so‘nggi 24 soatda esa -5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.79% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.60% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 895 marta ko‘riladi; birinchi sutkada odatda 1 764 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 09 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
67 810
Obunachilar
-524 soatlar
+227 kunlar
+5030 kunlar
Postlar arxiv
Repost from Tech Jobs Hub
1. What is the output of the following code?
x = [1, 2, 3]
y = x
y[0] = 4
print(x)dict(a=1, b=2)
B) {a: 1, b: 2}
C) dict([('a', 1), ('b', 2)])
D) {1: 'a', 2: 'b'}
3. Write a function that takes a list of integers and returns a new list containing only even numbers.
4. What will be printed by this code?
def func(a, b=[]):
b.append(a)
return b
print(func(1))
print(func(2))__slots__ attribute in a Python class?
6. Which built-in function can be used to remove duplicates from a list while preserving order?
7. Explain the difference between map(), filter(), and reduce() with examples.
8. What does the @staticmethod decorator do in Python?
9. Write a generator function that yields Fibonacci numbers up to a given limit.
10. What is the output of this code?
import copy
a = [1, 2, [3, 4]]
b = copy.deepcopy(a)
b[2][0] = 5
print(a[2][0])bool([]) and why?
14. Write a recursive function to calculate the factorial of a number.
15. What is the difference between is and == in Python?
16. Explain how Python handles memory management for objects.
17. What is the output of this code?
class A:
def __init__(self):
self.x = 1
class B(A):
def __init__(self):
super().__init__()
self.y = 2
obj = B()
print(hasattr(obj, 'x') and hasattr(obj, 'y'))*args and **kwargs in function definitions.
19. Write a program that reads a text file and counts the frequency of each word.
20. What is monkey patching in Python and when might it be useful?
#Python #AdvancedPython #ProgrammingTest #CodingChallenge #PythonInterview #PythonDeveloper #CodeQuiz #HighLevelPython #LearnPython #PythonSkills #PythonExpert
By: @DataScienceQ 🚀
“I asked Padma AI for advice and… what happened next shocked even me.”
No more wasting hours on decisions—discover how Padma AI gives answers billionaires would pay for. Want to know the secret? Click right here, but hurry—most people still have no idea!
#ad InsideAds
Repost from Machine Learning
📌 How To Learn AI (Roadmap)
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read
A full breakdown of how you can learn AI this year effectively
Liverpool to replace Salah for £75M?
Transfer chaos is about to explode: Liverpool are now favourites to sign Antoine Semenyo as Salah’s direct successor. Will this blockbuster deal actually happen?
Get the fastest updates, inside info and exclusive transfer scoops every day in Transfer News. Don’t miss the moves before they break the headlines — join now!
#ad InsideAds
Ever wondered what happens when AI meets productivity?
Padma AI is your personal assistant that makes every task smarter and faster. Discover how you can boost your daily workflow with one click—don’t miss out on the future: see Padma AI in action right now.
Unlock next-level efficiency—join the revolution!
#ad InsideAds
Perform the test and submit the solution via a photocopy of the answer sheet
Repost from Tech Jobs Hub
1. What is the output of the following code?
x = [1, 2, 3]
y = x
y.append(4)
print(x)def func(a, b=[]):
b.append(a)
return b
print(func(1))
print(func(2))== and is operators in Python.
6. How do you handle exceptions in Python? Provide an example.
7. What is the output of:
print(2 ** 3 ** 2)*args parameter do in a function?
11. What will be the output of:
list1 = [1, 2, 3]
list2 = list1.copy()
list2[0] = 10
print(list1)__init__ method in a Python class?
14. Write a program to check if a given string is a palindrome.
15. What is the output of:
a = [1, 2, 3]
b = a[:]
b[0] = 10
print(a)x = "hello"
y = "world"
print(x + y)range() and xrange() in Python 2?
20. What is the use of the lambda function in Python? Give an example.
#PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming
By: @DataScienceQ 🚀
Ever wondered what your workflow could look like if you had AI working for you 24/7?
Meet Padma AI – your smart Telegram assistant that saves hours, automates routine, and gives instant answers right in chat.
Try it now and discover what real AI power feels like — test Padma AI in action.
#ad InsideAds
🚀 Thordata Proxy: Bypass Anti-Scraping for Data Projects
Facing these issues in data collection?
🔴 IP blocks interrupting workflows
🟡 CAPTCHAs breaking automation
🟢 Geo-restrictions limiting data access
Thordata Proxy provides high-performance proxy solutions for ML/DS professionals:
🔥 Key Features
Seamless Integration: Native support for Python (Requests/Scrapy/Selenium), R, Spark
Global Coverage: 200+ countries with city-level targeting
Anti-Blocking: Residential/ISP proxies mimic real users
Low Latency: <0.8s average response time, 99.9% uptime
Compliant: GDPR/CCPA compliant for public data only
📊 Perfect For:
Training data collection for ML models/Competitive pricing monitoring/Cross-region social media analysis/Ad verification testing
🌟 Community Offer
🔗 Start now: https://www.thordata.com/?ls=DhthVzyG&lk=Data
20% off with code: IsyGLO5o
Official Channel : https://t.me/thordataproxy
Python | Machine Learning | Coding | R:
Participating in watching the ad (Telegram channel) encourages us to offer paid resources for free
I made my first $350 in a day — just by following these gold signals. Sounds unreal? I thought so too, until I tried. Discover the real strategies experts never reveal — but they’re all right here. Don’t miss today’s signals — check now before it’s gone!
#ad InsideAds
Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards.
Start now!
#ad InsideAds
Participating in watching the ad (Telegram channel) encourages us to offer paid resources for free
Ever wondered how much smarter your workflow could be with AI?
Meet Padma AI — your personal Telegram bot that makes work faster, easier, smarter.
Try out the AI assistant everyone’s talking about now — and see how much more you can do in a day.
Don’t miss your edge — join Padma AI and upgrade your routine!
#ad InsideAds
📺 12 comprehensive playlists to master
⬅️ machine learning, deep learning, and GenAI!
👨🏻💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.
😉 Machine Learning Basics (39 videos)
😉 Python for ML (9 videos)
😉 Optimization for ML (5 videos)
😉 Machine Learning with Practical Exercises (37 videos)
😉 Building Decision Trees from Scratch (13 videos)
😉 Building Neural Networks from Scratch (35 videos)
😉 Graph Neural Networks (6 videos)
😉 Computer Vision from Scratch (19 videos)
😉 Building LLM from Scratch (43 videos)
😉 Reasoning in LLMs from Scratch (22 videos)
😉 Building DeepSeek from Scratch (29 videos)
😉 Machine Learning in Production Environment (6 videos)
🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖
https://t.me/CodeProgrammer ❤️
👨🏻💻 This Python library helps you extract usable data for language models from complex files like tables, images, charts, or multi-page documents.
📝 The idea of Agentic Document Extraction is that unlike common methods like OCR that only read text, it can also understand the structure and relationships between different parts of the document. For example, it understands which title belongs to which table or image.
✅ Works with PDFs, images, and website links.
☑️ Can chunk and process very large documents (up to 1000 pages) by itself.
✔️ Outputs both JSON and Markdown formats.
☑️ Even specifies the exact location of each section on the page.
✔️ Supports parallel and batch processing.
pip install agentic-doc
Ever felt lost between laughter and deep late-night thoughts? 𝑫𝒂𝒓𝒌 𝒍𝒊𝒈𝒉𝒕 🩶 is where you’ll find funny memes, relatable quotes, music to match your mood, and those random thoughts you never share out loud. It’s the corner of Telegram where real feels meet good vibes. Curious yet? Join us here to take a break for yourself.
#ad InsideAds
I never thought 2 simple signals a day could change how I trade. Yesterday, I followed one tip—and watched my gold trade explode. Want to know what happened next? The real results are hidden right here. Don’t let them pass you by.
#ad InsideAds.
