Sambanthan S

எப்படியும் வாழ்ந்திடலாம் என்பது வாழ்க்கை இல்லை..
இப்படித்தான் வாழனும் என்பதுதான் வாழ்க்கை

[JR | Data Engineer @Mbadiwejesse_]

Data Engineering Pipeline🔥

[yourclouddude @yourclouddude]

Python simplified for you 🚀

[Python Developer @PythonDvz]

Top 20 Python one-liners

𝗗𝗔𝗧𝗔 𝗤𝗨𝗔𝗟𝗜𝗧𝗬

df.duplicated() — find duplicate rows
df.isna().sum() — count missing values per column
df.describe() — get a full statistics summary instantly

𝗖𝗟𝗘𝗔𝗡𝗜𝗡𝗚

df.drop_duplicates(keep='last') — remove duplicates, keep the latest
df.fillna() — handle missing values
df.replace({dict}) — replace multiple values at once
df.str.contains() — filter text columns without regex headaches
df.clip() — cap outliers without removing them from your dataset

𝗔𝗡𝗔𝗟𝗬𝗦𝗜𝗦

df.value_counts(normalize=True) — calculate percentages instantly
pd.crosstab() — create a pivot summary in one line
df.groupby().nlargest() — get the top N results per group

𝗧𝗥𝗔𝗡𝗦𝗙𝗢𝗥𝗠𝗔𝗧𝗜𝗢𝗡

pd.cut() — create bins from continuous numbers
df.merge() — join two dataframes
df.pivot_table() — create flexible pivots
df.assign() — add new columns without overwriting your original dataframe
df.explode() — unnest list columns into individual rows
df.pipe() — chain multiple operations cleanly in sequence

𝗦𝗘𝗟𝗘𝗖𝗧𝗜𝗢𝗡 & 𝗦𝗢𝗥𝗧𝗜𝗡𝗚

df.query() — filter with readable syntax instead of brackets
df.nlargest(n, 'col') — get the top N rows by column value
df.sort_values() — sort by one or multiple columns

#python

[Tech Fusionist @techyoutbe]

Building AI Solutions on Azure (8 Real-World Architectures with Well-Architected Best Practices)

Just published this guide on Gumroad.....

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Tense charts

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12 Skills That Will Pay You Forever.

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The 7 habits of highly effective people

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தமிழில் Personal finance: 7 habits of highly effective....

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The data and AI industry is far bigger than just “Data Scientist” or “AI Engineer.”
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🚨🔥 𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗔𝗕𝗥𝗜𝗖 = 𝗠𝗢𝗗𝗘𝗥𝗡 𝗗𝗔𝗧𝗔 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 🔥🚨

Most professionals still don’t even realize that 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 is becoming a major part of 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.

Just like Azure exploded after 2018…
Microsoft Fabric is now entering the same growth phase. 📈

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[Towards Data Science @TDataScience]

Big data tools can feel intimidating until the core concepts click. @taupirho breaks down PySpark in a beginner-friendly way without losing the technical foundations.

https://t.co/8dzj3HuUf8

[Python Developer @PythonDvz]

📘 SQL Cheat Sheet Every Data Analyst Should Save 💾

SQL isn’t just about writing queries anymore — it’s one of the most valuable skills in data and tech today 📊💻

Whether you’re analyzing datasets, building dashboards, or preparing for interviews, strong SQL fundamentals can set you apart 🚀

This SQL cheat sheet is made for quick revision and practical learning ⚡
Covering essential concepts like:

🔹 Joins
🔹 Subqueries
🔹 Window Functions
🔹 Aggregate Functions
🔹 CASE Statements
🔹 Useful SQL Operators

Perfect for students, aspiring Data Analysts, and anyone working with databases 💡

📌 Save this post for quick revision
📤 Share it with someone learning SQL

#sql #dataanalyst #datascience #analytics #coding

[Python Programming @PythonPr]

Excel vs SQL Cheat Sheet