Python Interviews
رفتن به کانال در Telegram
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
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Python Interviews
کانال Python Interviews (@pythoninterviews) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 28 836 مشترک است و جایگاه 4 615 را در دسته فناوری و برنامهها و رتبه 14 432 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 28 836 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 26 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 78 و در ۲۴ ساعت گذشته برابر -1 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.43% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.57% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 701 بازدید دریافت میکند. در اولین روز معمولاً 163 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند |--, link:-, learning, sql, analytic تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 27 ژوئیه, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
28 836
مشترکین
-124 ساعت
+417 روز
+7830 روز
در حال بارگیری داده...
کانالهای مشابه
ابر برچسبها
اشارات ورودی و خروجی
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ژوئیه '26
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| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 27 ژوئیه | +13 | |||
| 26 ژوئیه | +1 | |||
| 25 ژوئیه | +8 | |||
| 24 ژوئیه | +12 | |||
| 23 ژوئیه | +10 | |||
| 22 ژوئیه | +3 | |||
| 21 ژوئیه | +19 | |||
| 20 ژوئیه | +8 | |||
| 19 ژوئیه | +5 | |||
| 18 ژوئیه | +9 | |||
| 17 ژوئیه | +5 | |||
| 16 ژوئیه | 0 | |||
| 15 ژوئیه | +17 | |||
| 14 ژوئیه | 0 | |||
| 13 ژوئیه | +5 | |||
| 12 ژوئیه | +8 | |||
| 11 ژوئیه | 0 | |||
| 10 ژوئیه | +1 | |||
| 09 ژوئیه | +7 | |||
| 08 ژوئیه | +6 | |||
| 07 ژوئیه | 0 | |||
| 06 ژوئیه | +12 | |||
| 05 ژوئیه | +2 | |||
| 04 ژوئیه | +6 | |||
| 03 ژوئیه | +4 | |||
| 02 ژوئیه | +9 | |||
| 01 ژوئیه | +14 |
پستهای کانال
To be GOOD in Data Science you need to learn:
- Python
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But to LAND a job in Data Science you need to prove you can:
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- Solve problems
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| 3 | Quick Python Cheat Sheet for Beginners 🐍✍️
Python is widely used for data analysis, automation, and AI—perfect for beginners starting their coding journey.
Aggregation Functions 📊
• sum(list) → Adds all values
👉 sum([1,2,3]) = 6
• len(list) → Counts total elements
👉 len([1,2,3]) = 3
• max(list) → Highest value
👉 max([4,7,2]) = 7
• min(list) → Lowest value
👉 min([4,7,2]) = 2
• sum(list)/len(list) → Average
👉 sum([10,20])/2 = 15
Lookup / Searching 🔍
• in → Check existence
👉 5 in [1,2,5] = True
• list.index(value) → Position of value
👉 [10,20,30].index(20) = 1
• Dictionary lookup
👉 data = {"name": "John", "age": 25} data["name"] # John
Logical Operations 🧠
• if condition: → Decision making
👉 if x > 10: print("High") else: print("Low")
• and → All conditions true
• or → Any condition true
• not → Reverse condition
Text (String) Functions 🔤
• len(text) → Length
👉 len("hello") = 5
• text.lower() → Lowercase
• text.upper() → Uppercase
• text.strip() → Remove spaces
👉 " hi ".strip() = "hi"
• text.replace(old, new)
👉 "hi".replace("h","H") = "Hi"
• String concatenation
👉 "Hello " + "World"
Date Time Functions 📅
• from datetime import datetime
• datetime.now() → Current date time
• Extract values:
now = datetime.now() now.year now.month now.day
Math Functions ➗
• import math
• math.sqrt(x) → Square root
• math.ceil(x) → Round up
• math.floor(x) → Round down
• abs(x) → Absolute value
Conditional Aggregation (Like Excel SUMIF) ⚡
• Using list comprehension
nums = [10, 20, 30, 40] sum(x for x in nums if x > 20) # 70
• Count condition
len([x for x in nums if x > 20]) # 2
Pro Tip for Data Analysts 💡
👉 For real-world work, use libraries: pandas & numpy
Example:
import pandas as pd df["salary"].mean()
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
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4. 🚫 Remove N-th Node From End of List
5. 🔗 Merge Two Sorted Linked Lists
6. 🖼️ Check if a Linked List is a Palindrome
7. 🚨 Remove Duplicates from a Sorted List
8. 🎯 Find the Middle of a Linked List
9. 🔄 Rotate a Linked List
10. 📑 Implement a Doubly Linked List
11. 📊 Implement a Circular Linked List
12. 🛠️ Add Two Numbers Represented by Linked Lists
13. 🧹 Remove Linked List Elements
14. 🧩 Partition List around a value
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| 9 |  🔰 Take Screenshots using Python | 1 141 |
| 10 | Master Python the Right Way – Without Procrastination. 🐍✨
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