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For loop vs List comprehension in Python 🐍 Same result. Less code. More Pythonic. Knowing when to use each one is what separates beginners from confident Python devs. Save this for the next time
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Write “DATA” in the comments and I’ll send you the resources to go deeper 👇 Data Engineering is the foundation of every AI and data product — but nobody talks about the basics 🔧 Swipe to learn: →
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Save this post 💾 — you’ll need it for your next interview. Comment „ML“ and I’ll send you the best free resources to go deeper. ♻️ Repost this to help someone breaking into Data Science. #MachineL
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Comment „Clean“ to get some data cleaning videos in Python. As a Data Engineer or Data Analyst, bad data isn’t the exception — it’s the norm. Before any analysis or pipeline, you need to handle it p
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5 Python libraries every Data Analyst needs to know 📊 1. Pandas – data manipulation made easy 2. Plotly – beautiful interactive charts 3. Reflex – build Applications fully in Python without JavaScri
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Do you have some tokens for me? :/ #ai #codingmemes #claude
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Comment „Roadmap“ and I’ll send you all the links. 👇 Here’s how to become a Data Engineer in 6 months — with zero experience. 🗂️ No CS degree. No bootcamp. Just the right resources in the right or
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Comment “DATA” to get my fav explanation videos . Most data engineers don’t struggle with tools. They struggle with fundamentals. These 4 concepts show up everywhere: → in interviews → in real pro
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Comment “DATA” and I’ll share all the links with you 👇 If you’re serious about learning data engineering, these are the resources that actually make a difference. #data #coding #ai #student
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Big data doesn’t have to mean big delays. ⚡ With Apache Spark, massive datasets get processed in seconds — not hours. From streaming platforms to ride-sharing apps, distributed computing is what keep
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Loop vs List Comprehension in Python 👇 This question looks simple. It isn’t. Juniors think: 👉 “List comprehension = cleaner code” Seniors think: 👉 “Will someone understand this in 6 months?” Ye
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Using only GROUP BY for analysis? You’re missing half the picture. Here’s why 👇 1️⃣ The Starting Point: GROUP BY works great for basic totals — sum sales by category, count users by region. That’s w
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About @fatihexplains

Fatih | Data Engineer is a verified Instagram nano influencer in the Reel creator category. With 1.6K followers and 12 posts, fatihexplains's account shows a follower-to-following ratio of 27.0:1. View all content anonymously on Pictame - no login required.

fatihexplains's engagement rate sits at 2.51%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 50% are videos and 50% are photos. Content shows up about every 8 days. Captions lean moderate, averaging 471 characters.

2.51% engagement rate — room to grow compared to average for 1K-10K follower accounts.
Posts about every 8 days.
27.0:1 follower-to-following ratio.

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@fatihexplains

Fatih | Data Engineer

PublicReel creator
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Top Hashtags
#coding#DataEngineering#python#dataengineering#programming#Python#ai#data

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Popular Hashtags

#beauty#tbt#summer#fitness#repost#food#followme#photo#music#viralreels#life#ootd
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Data Engineer & Python Lecturer 💻 Learn Data & AI with me 🚀

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