Artificial Intelligence & ChatGPT Prompts
رفتن به کانال در Telegram
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Artificial Intelligence & ChatGPT Prompts
کانال Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 42 086 مشترک است و جایگاه 3 176 را در دسته فناوری و برنامه‌ها و رتبه 9 004 را در منطقه الهند دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 42 086 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 25 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -163 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.46% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.59% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 1 036 بازدید دریافت می‌کند. در اولین روز معمولاً 250 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 3 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, algorithm, detection, llm, pattern تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“🔓Unlock Your Coding Potential with ChatGPT
🚀 Your Ultimate Guide to Ace Coding Interviews!
💻 Coding tips, practice questions, and expert advice to land your dream tech job.
For Promotions: @love_data”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 26 اکتبر, 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.
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💡 Excel Tips & Tricks 🧠📊
Part 3 — Smart Data Analysis Tips
🔹 Tip 21: Use "Ctrl + T" for Dynamic Data
Convert your dataset into an Excel Table.
📌 When you add new rows, formulas, formatting, and filters automatically extend to the new data.
🔹 Tip 22: Use "SUMIFS()" for Multiple Conditions
Example:
=SUMIFS(C:C,A:A,"North",B:B,"Electronics")
📌 Perfect for calculating sales based on multiple criteria.
🔹 Tip 23: Use "COUNTIFS()" to Count Multiple Conditions
Example:
=COUNTIFS(A:A,"North",B:B,"Completed")
📌 Useful for counting records that meet several conditions.
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Example:
=UNIQUE(A2:A1000)
📌 Quickly removes repeated values without manually deleting duplicates.
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Example:
=FILTER(A2:D1000,C2:C1000="North","No Records")
📌 Returns only the rows matching your selected condition.
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Example:
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📌 Sorts the data based on the second column in descending order.
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Example:
=TEXT(A2,"MMM-YYYY")
📌 Converts a date into formats such as "Jan-2026".
🔹 Tip 28: Use "EOMONTH()" for Month-End Calculations
Example:
=EOMONTH(A2,0)
📌 Returns the last day of the month for the date in "A2".
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Example:
=SUBTOTAL(9,B2:B1000)
📌 Calculates the sum of visible filtered rows, making it useful for reports.
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"Ctrl + Z" = Undo
"Ctrl + Y" = Redo
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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:
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Don't overwhelm to learn JavaScript, JavaScript is only this much
1.Variables
• var
• let
• const
2. Data Types
• number
• string
• boolean
• null
• undefined
• symbol
3.Declaring variables
• var
• let
• const
4.Expressions
Primary expressions
• this
• Literals
• []
• {}
• function
• class
• function*
• async function
• async function*
• /ab+c/i
• string
• ( )
Left-hand-side expressions
• Property accessors
• ?.
• new
• new .target
• import.meta
• super
• import()
5.operators
• Arithmetic Operators: +, -, *, /, %
• Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
• Logical Operators: &&, ||, !
6.Control Structures
• if
• else if
• else
• switch
• case
• default
7.Iterations/Loop
• do...while
• for
• for...in
• for...of
• for await...of
• while
8.Functions
• Arrow Functions
• Default parameters
• Rest parameters
• arguments
• Method definitions
• getter
• setter
9.Objects and Arrays
• Object Literal: { key: value }
• Array Literal: [element1, element2, ...]
• Object Methods and Properties
• Array Methods: push(), pop(), shift(), unshift(),
splice(), slice(), forEach(), map(), filter()
10.Classes and Prototypes
• Class Declaration
• Constructor Functions
• Prototypal Inheritance
• extends keyword
• super keyword
• Private class features
• Public class fields
• static
• Static initialization blocks
11.Error Handling
• try,
• catch,
• finally (exception handling)
ADVANCED CONCEPTS
12.Closures
• Lexical Scope
• Function Scope
• Closure Use Cases
13.Asynchronous JavaScript
• Callback Functions
• Promises
• async/await Syntax
• Fetch API
• XMLHttpRequest
14.Modules
• import and export Statements (ES6 Modules)
• CommonJS Modules (require, module.exports)
15.Event Handling
• Event Listeners
• Event Object
• Bubbling and Capturing
16.DOM Manipulation
• Selecting DOM Elements
• Modifying Element Properties
• Creating and Appending Elements
17.Regular Expressions
• Pattern Matching
• RegExp Methods: test(), exec(), match(), replace()
18.Browser APIs
• localStorage and sessionStorage
• navigator Object
• Geolocation API
• Canvas API
19.Web APIs
• setTimeout(), setInterval()
• XMLHttpRequest
• Fetch API
• WebSockets
20.Functional Programming
• Higher-Order Functions
• map(), reduce(), filter()
• Pure Functions and Immutability
21.Promises and Asynchronous Patterns
• Promise Chaining
• Error Handling with Promises
• Async/Await
22.ES6+ Features
• Template Literals
• Destructuring Assignment
• Rest and Spread Operators
• Arrow Functions
• Classes and Inheritance
• Default Parameters
• let, const Block Scoping
23.Browser Object Model (BOM)
• window Object
• history Object
• location Object
• navigator Object
24.Node.js Specific Concepts
• require()
• Node.js Modules (module.exports)
• File System Module (fs)
• npm (Node Package Manager)
25.Testing Frameworks
• Jasmine
• Mocha
• Jest
