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📚 FREE Courses Offered:
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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:
import pandas as pd df["salary"].mean()

Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

Double Tap ♥️ For More

𝗧𝗼𝗽 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗙𝘂𝘁𝘂𝗿𝗲-𝗣𝗿𝗼𝗼𝗳 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 😍

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🔥 Top 5 FREE Excel Courses:

1️⃣ Goldman Sachs – Excel Skills for Business
2️⃣ PwC – Problem Solving with Excel
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5️⃣ Simplilearn – Introduction to MS Excel

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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.

🔹 Tip 24: Use "UNIQUE()" to Create a Unique List
Example:
=UNIQUE(A2:A1000)
📌 Quickly removes repeated values without manually deleting duplicates.

🔹 Tip 25: Use "FILTER()" for Dynamic Filtering
Example:
=FILTER(A2:D1000,C2:C1000="North","No Records")
📌 Returns only the rows matching your selected condition.

🔹 Tip 26: Use "SORT()" to Create a Dynamic Sorted List
Example:
=SORT(A2:B100,2,-1)
📌 Sorts the data based on the second column in descending order.

🔹 Tip 27: Use "TEXT()" to Control Date Display
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".

🔹 Tip 29: Use "SUBTOTAL()" with Filtered Data
Example:
=SUBTOTAL(9,B2:B1000)
📌 Calculates the sum of visible filtered rows, making it useful for reports.

🔹 Tip 30: Use "Ctrl + Z" Carefully
"Ctrl + Z" = Undo
"Ctrl + Y" = Redo
📌 These shortcuts can quickly reverse or restore recent changes.

💬 Double Tap ♥️ For More Excel Tips!

🚀 𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴! 💻

Microsoft-focused learning paths can help you strengthen your resume and prepare for in-demand tech and data roles.

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⚡ IBM :- https://pdlink.in/45KgqDR

💫 Amazon :- https://pdlink.in/47XuBGz

🌐 Cisco :- https://pdlink.in/4gaeVVV

🪟 Microsoft :- https://pdlink.in/4zhGTX6

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🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥

Here’s a collection of company-specific resources to help you understand their interview and hiring processes.

🎯 Interview Preparation Guides For:

🟠 Amazon – Interviewing Guide
🔵 Google – Interview Tips
🪟 Microsoft – Hiring & Interview Tips
🟢 NVIDIA – Hiring Process
🔷 Meta – Software Engineering Interview Prep

𝐋𝐢𝐧𝐤 👇:-

https://pdlink.in/4i6HkgN

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