Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Python Interviews
Kanalga Telegram’da o‘tish
Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun
Ko'proq ko'rsatish📈 Telegram kanali Python Interviews analitikasi
Python Interviews (@pythoninterviews) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 751 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 798-o'rinni va Hindiston mintaqasida 15 254-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 28 751 obunachiga ega bo‘ldi.
03 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 101 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 0.62% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.75% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 178 marta ko‘riladi; birinchi sutkada odatda 215 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent |--, link:-, learning, sql, analytic kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free
For collaborations: @coderfun”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 04 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
28 751
Obunachilar
+1124 soatlar
+187 kunlar
+10130 kunlar
Postlar arxiv
28 751
🧮 $40/day × 30 days = $1,200/month.
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28 751
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28 751
🧮 $40/day × 30 days = $1,200/month.
That's what my students average.
From their phone. In 10 minutes a day.
No degree needed.
No investment knowledge required.
Just Copy & Paste my moves.
I'm Tania, and this is real.
👉 Join for Free, Click here
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28 751
I spent months analyzing betting channels so you don’t have to. Betting Tips King delivers verified results with transparent records-no exaggeration, just real bets shown openly. Consistent profits, documented bets, and clear strategies. If you value data over hype, this is your resource. Join @KingR33 for access to accurate VIP tips and a 90%+ win rate. Discover the difference: Betting Tips King
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28 751
📱 A huge cheat sheet for Python, Django, Plotly, Matplotlib, Pygame
Many topics are covered inside:
🔸 All basic constructs: variables, conditions, loops, lists, dictionaries, functions, and classes — with clear examples;
🔸 Working with files, exceptions, and data input — understandable even for beginners;
🔸 #Django, #Pygame, #Matplotlib, and #Plotly — brief instructions on how to get started with each of the frameworks;
🔸 Tips on #Git, project structure, and unit testing.
https://t.me/CodeProgrammer ❤️
28 751
I spent hours digging through crypto noise so you don’t have to. At 🧧Royal Red Packet🧧, it’s all about real chances to earn-no fluff, no courses, just answering questions and sharing crypto boxes like SOL, USDT, and more. Feel the peace of safe, stress-free steps with every post. I’m glad I found this gem-let it save you time and worry too. Join us and start your smooth crypto journey today! 👉 Join here
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28 751
🧮 $40/day × 30 days = $1,200/month.
That's what my students average.
From their phone. In 10 minutes a day.
No degree needed.
No investment knowledge required.
Just Copy & Paste my moves.
I'm Tania, and this is real.
👉 Join for Free, Click here
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28 751
Looking for Easy Online Work?
Kya aap easy online work dhund rahe ho?
Koi registration fees nahi hai
Koi personal data dene ki zarurat nahi hai
Weekly payments milte hain (INR/Crypto)
Aap apne phone ya PC se kaam kar sakte ho
Aaj hi start karo – limited positions available hain.
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28 751
Tired of wading through crypto noise and still finding nothing solid?
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28 751
I remember staring at the GOLD chart late at night, thinking “there has to be a way to catch decent moves without turning this into a full-time stress job.”
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28 751
🧮 $40/day × 30 days = $1,200/month.
That's what my students average.
From their phone. In 10 minutes a day.
No degree needed.
No investment knowledge required.
Just Copy & Paste my moves.
I'm Tania, and this is real.
👉 Join for Free, Click here
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28 751
Ever wonder why most traders lose money despite trying hard? The secret isn’t just in signals-it’s in a stress-free routine that keeps you safe and confident. Curious how to trade gold with 93% win ratio without the usual headaches? Discover the simple steps that changed everything 👉 Join Tania Trading Academy
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28 751
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28 751
Here's a concise cheat sheet to help you get started with Python for Data Analytics. This guide covers essential libraries and functions that you'll frequently use.
1. Python Basics
- Variables:
x = 10
y = "Hello"
- Data Types:
- Integers: x = 10
- Floats: y = 3.14
- Strings: name = "Alice"
- Lists: my_list = [1, 2, 3]
- Dictionaries: my_dict = {"key": "value"}
- Tuples: my_tuple = (1, 2, 3)
- Control Structures:
- if, elif, else statements
- Loops:
for i in range(5):
print(i)
while x < 5:
print(x)
x += 1
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
arr = np.array([1, 2, 3, 4])
arr.sum()
arr.mean()
arr.reshape((2, 2))
arr[0:2] # First two elements
df = pd.DataFrame({
'col1': [1, 2, 3],
'col2': ['A', 'B', 'C']
})
df = pd.read_csv('file.csv')
df.head() # First 5 rows
df.describe() # Summary statistics
df.info() # DataFrame info
df['col1']
df[['col1', 'col2']]
df[df['col1'] > 2]
df.dropna() # Drop missing values
df.fillna(0) # Replace missing values
df.groupby('col2').mean()
plt.plot(df['col1'], df['col2'])
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Title')
plt.show()
sns.histplot(df['col1'])
sns.boxplot(x='col1', y='col2', data=df)
pd.merge(df1, df2, on='key')
df.pivot_table(index='col1', columns='col2', values='col3')
df['col1'].apply(lambda x: x*2)
df['col1'].mean()
df['col1'].median()
df['col1'].std()
df.corr()
28 751
Think you know crypto? Think again. The whales just made a move that’ll flip the entire market – but 99% of traders will miss this signal. What they’re doing next will shock you and could make or break your portfolio. Ready to see how it unfolds?
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28 751
🚀 AI System Builders — finally something serious.
A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B AI platform on April 2026.
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🎥 Quick overview video (thumbs up 👍):
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👤 CEO (LinkedIn):
https://www.linkedin.com/in/soner-catakli/
---
Early access is limited.
28 751
I spent months verifying data and results so you don’t have to. This channel delivers real betting insights-no fluff, pure analysis, and verified tips that consistently outperform the market. I trust their VIP calls because they come backed by transparent records and solid risk management. If you want a resource based on experience, not hype, see it for yourself.
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28 751
🔔 Does your phone pay you?
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28 751
I spent months evaluating crypto signal providers so you don’t have to. Redblack Officials delivers precise, data-driven signals with full risk management-no fluff, just verified setups and market analysis. Their VIP service includes clear entry, take profit, and stop loss targets, making it accessible even for beginners. If you want consistent trade execution backed by experience, this channel is a resource worth your attention. Join here: Redblack Officials.
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