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
You do not need expensive courses to learn AI and machine learning. Strong fundamentals in Python, statistics, deep learning, NLP, MLOps, and real projects can be built using high-quality free resources from MIT, FastAI, Hugging Face, Kaggle, and Google. #AI#MachineLearning #DeepLearning #Python #DataScience
The data and AI industry is far bigger than just “Data Scientist” or “AI Engineer.”
From analytics and visualization to MLOps, AI safety, robotics, and governance, the ecosystem now includes dozens of specialized career paths. The opportunity space is expanding rapidly. #DataScience #ArtificialIntelligence #MachineLearning #DataAnalytics #AIJobs
🚨🔥 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. 📈
𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝗮𝗴𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲𝗹𝘆 𝗺𝗼𝘃𝗶𝗻𝗴 𝘁𝗼𝘄𝗮𝗿𝗱𝘀:
✅ OneLake
✅ Lakehouse
✅ Real-Time Analytics
✅ Fabric Pipelines
✅ PySpark & Notebooks
✅ Power BI + Fabric Integration
🔥 500+ Professionals Already Trained
🔥 Real-Time Industry Projects
🔥 Practical Hands-on Sessions
🔥 Interview Preparation & Career Guidance
🔥 Placement & Collaboration Support Efforts
🚨 𝗡𝗲𝘄 𝗕𝗮𝘁𝗰𝗵 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴: 3rd June 2026
⏰ 𝗧𝗶𝗺𝗶𝗻𝗴: 8 AM – 9 AM IST
🌍 Live Online Sessions
⚠️ Early movers always get the biggest advantage before the market becomes crowded.
📩 𝗝𝗼𝗶𝗻 𝘁𝗵𝗶𝘀 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗳𝗼𝗿 𝗳𝘂𝗿𝘁𝗵𝗲𝗿 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 & 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻:
WhatsApp Community
https://t.co/EDpEAxmkie
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
📘 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